Securing a Premier Healthcare Hub: King Faisal Specialist Hospital & Research Center Secures Vehicle Access with Adaptive Recognition’s Vidar Cameras and Carmen Software

King Faisal Specialist Hospital & Research Center (KFSH&RC) in Riyadh, Saudi Arabia, sought to enhance its security infrastructure by implementing a comprehensive License Plate Recognition (LPR) system. As a multi-site tertiary care government organization providing world-class specialized healthcare, KFSH&RC is renowned for its leadership in medical science, consistently pioneering numerous medical programs. This initiative reflects the hospital’s commitment to continually develop its security infrastructure systems. The hospital partnered with Fore Vision to deploy a cutting-edge LPR solution, utilizing Vidar cameras for exceptional accuracy and performance.

Challenges:
Prior to implementing the LPR system, King Faisal Specialist Hospital & Research Center (KFSH&RC) faced several challenges related to vehicle access control and security:

Limited Surveillance Measures: The current system lacked advanced surveillance features, posing potential compromises to the hospital’s safety.
Manual Monitoring Inefficiency: Manual monitoring of vehicle access was labor-intensive, prone to errors, and lacked real-time insights.
Limited Data Collection: The lack of an automated system prevented KFSH&RC from capturing and analyzing vehicle data for security and operational purposes.
Lack of Real-time Insights: The manual system did not provide KFSH&RC with real-time visibility into vehicle movements, making it difficult to identify potential security threats or incidents.
Unauthorized Access Risk: Manual entry processes increased the risk of unauthorized vehicles gaining access, posing a potential threat to the hospital’s security.

Solution:
Fore Vision’s LPR solution addressed these challenges by providing a robust and efficient system for managing vehicle access and enhancing security. The solution includes:

Vidar Cameras: Vidar cameras, known for their exceptional accuracy and ability to function in diverse conditions, were deployed at each of KFSH&RC’s five gates, providing seamless and automated license plate capture.
Carmen Software: Carmen software, a powerful OCR engine, was integrated with the LPR system to provide comprehensive data management and analysis capabilities. The software analyzes captured images, identifies license plates, and verifies the associated vehicle information. It also provides real-time data on vehicle movements and patterns, enabling KFSH&RC to make informed decisions about security, operations, and traffic management.
SecuPlate LPR Application: The SecuPlate LPR application, operating 24/7, records all vehicle transactions for detailed monitoring and analysis. This real-time data provides KFSH&RC with valuable insights into vehicle movements, allowing for proactive security measures and informed decision-making.
Centralized and Decentralized Database Generation: The solution incorporates both centralized and decentralized database generation capabilities. During online mode, data is stored on the main and backup servers for comprehensive analysis and reporting. During offline mode, data is stored locally at each gate, ensuring uninterrupted operation even in case of network disruptions.
Automatic Image Enhancement: The system utilizes automatic image enhancement features to improve visibility and enhance the accuracy of license plate recognition, even under challenging lighting and weather conditions.
Predefined Events and Situations: The LPR system is configured to identify predefined events and situations, such as vehicles with reported license plates, stolen vehicles, or vehicles matching specific criteria. This feature enables KFSH&RC to proactively address potential security threats or incidents.
Traffic Rules Enforcement: The system can identify traffic rules offenders, such as vehicles exceeding speed limits or making illegal turns, and provide real-time alerts to security personnel.

Implementation:
Fore Vision seamlessly integrated the Vidar cameras, Carmen software, and the entire LPR system into all ten lanes at KFSH&RC’s five gates, ensuring optimal functionality and minimal disruption to existing operations. The meticulous calibration of the LPR system guarantees accurate recognition under various conditions, establishing a robust foundation for enhanced security and access control at each gate’s entry and exit lanes.

Results:
KFSH&RC has already realized significant benefits from implementing the LPR system:

Enhanced Security: The system has strengthened security by enhancing vehicle identification and access control, reducing the risk of unauthorized entry.
Efficient Monitoring: Manual monitoring is replaced by automated ALPR technology, improving accuracy and operational efficiency.

Real-time Insights: KFSH&RC now has real-time visibility into vehicle movements, enabling proactive security measures and informed decision-making.
Improved Traffic Flow: The automated gate control has reduced processing times, improving traffic flow and overall efficiency at the gates.
Enforcement of Traffic Rules: The system has effectively enforced traffic rules, contributing to a safer environment for patients, staff, and visitors.
Data-driven Decision Making: The LPR data provides valuable insights into vehicle movements and patterns, enabling KFSH&RC to make informed decisions about security, operations, and traffic management.

Future Plans:
KFSH&RC plans to expand the LPR system to additional gates and facilities across the hospital campus, further enhancing security and operational efficiency. The hospital also intends to integrate the LPR data with its existing security and surveillance systems to create a comprehensive security ecosystem.

Overall Impact:
With Vidar Cameras and Carmen Software at its technological forefront, King Faisal Specialist Hospital & Research Center now boasts an advanced and scalable Automatic License Plate Recognition system. The system has not only enhanced security but also streamlined operations, providing valuable insights into vehicle movements and patterns. This innovative solution has set a precedent for other healthcare organizations in the region, demonstrating the transformative power of technology in enhancing security and ensuring a safe and secure environment for patients, staff, and visitors. By leveraging technology, KFSH&RC has positioned itself as a leader in healthcare security, setting a high standard for others to follow.

Want to Learn More About Vidar Camera and Carmen Software?
To delve deeper into the transformative technologies that are behind the King Faisal Specialist Hospital and Research Hospital Road Safety program, explore our dedicated pages:

Vidar Camera: Click here to discover Vidar Camera.

Carmen Software: Click here to read more about Carmen Software

Discover how these cutting-edge tools are revolutionizing road safety and shaping a safer future for all.

Puebla’s Road Safety Revolution: Monitor Vial Program Delivers Dramatic Results

In a groundbreaking endeavor to elevate road safety in Puebla, México, the Monitor Vial program—a collaboration between Adaptive Recognition and Autotraffic—celebrates a decade of significant achievements. The program’s latest milestone involves the renewal of technology with over 50 Vidar Speed Systems, reaffirming the Puebla State Government’s unwavering commitment to saving lives and minimizing traffic accidents.

The Monitor Vial program’s triumph stands as a testament to the power of technology and strategic implementation in transforming roads from hazardous passages into safe havens for all road users. By adopting cutting-edge solutions like the Vidar Speed Systems, the program has effectively deterred speeding habits, leading to a staggering 89% reduction in traffic crashes on controlled roads in Puebla. This remarkable achievement serves as a beacon of hope for other regions seeking to enhance road safety.

Challenges:
The historical challenges in road safety faced by Puebla, including a high rate of traffic accidents and fatalities, prompted the initiation of the Monitor Vial program. The need for a robust system to monitor speeding violations and enhance civil security intelligence became imperative for the safety and well-being of citizens. Prior to the deployment of the Vidar Speed systems, the Puebla State Government faced several challenges related to road safety:

High Traffic Accident Rates: Puebla’s roads were notorious for high traffic accident rates, posing a significant threat to the safety of its citizens.
Limited Speed Enforcement: The existing speed enforcement system was outdated and inefficient, making it difficult to deter speeding behaviors, a major contributor to traffic accidents.
Inadequate Surveillance: The lack of adequate surveillance systems hindered the monitoring and the detection of traffic violations.

Solution:
The Monitor Vial program addressed these challenges by implementing a comprehensive strategy to enhance road safety, including the deployment of over 50 Vidar Speed systems from Adaptive Recognition. The implementation of Vidar Speed Systems, known for their accuracy and efficiency, has played a pivotal role in achieving a remarkable 89% reduction in traffic crashes and an 88% decrease in fatalities over the past decade. These advanced cameras have proven instrumental in deterring speeding and improving road safety.

Enhanced Speed Enforcement: The Vidar Speed systems provide real-time data on vehicle speeds, allowing authorities to target and address speeding behaviors promptly.
Improved Surveillance: The Vidar Speed systems enable continuous monitoring of traffic conditions, facilitating the detection of traffic violations and hazardous driving behaviors.
Reduced Traffic Accidents: The implementation of the Vidar Speed systems has led to a significant reduction in traffic accidents, saving lives and preventing severe injuries.
Integration with Civil Security Intelligence: The Vidar Speed Systems were integrated with the civil security intelligence program to identify vehicle characteristics and license plates, contributing to crime-solving efforts..

Implementation:
The successful renewal of the Monitor Vial program involved the installation of 50 Vidar Speed Systems across controlled roads in Puebla. This advanced technology allows authorities to monitor roads effectively, respond swiftly to speed infractions, and contribute valuable data to the civil security intelligence program. Autotraffic who has been in the photo enforcement service provider market for 20 years, as the region leader and trusted partner whom we share their mission statement “Save lives in the mobility environment”, played a pivotal role in the seamless implementation.

Results:
The Monitor Vial program has already realized significant benefits and the statistics speak volumes about the program’s success:

Reduced Traffic Accidents: Traffic crashes on controlled roads in Puebla have plummeted by an astonishing 89%, representing a remarkable achievement in road safety.
Improved Road Safety: The Vidar Speed systems have effectively deterred speeding behaviors, contributing to a safer environment for motorists and pedestrians.
Enhanced Traffic Management: The real-time data provided by the Vidar Speed systems has enabled authorities to make informed decisions about traffic management, improving traffic flow and reducing congestion.

Partnership Appreciations:
„I am extremely proud and grateful to work alongside Autotraffic, fostering a partnership that stands as a testament to the shared values and dedication of two experienced companies, says Marton Sipos, Sales Director at Adaptive Recognition. Autotraffic’s unwavering commitment to excellence has been instrumental in the success of our collaborative efforts. Their expertise and dedication to innovation have not only strengthened our professional relationship but have also played a pivotal role in achieving significant milestones. Together, we admire and celebrate the enduring partnership between our two organizations, and I look forward to continued success and impactful innovations in the future.“

Future Plans:
Adaptive Recognition and Autotraffic remain committed to further enhancing road safety in Puebla. With ongoing support, firmware updates, and state-of-the-art service, the program will continue to evolve, ensuring that Puebla’s roads remain a haven of safety for its residents.

Overall Impact:
The transformative power of technology is evident in Puebla’s emergence as a leader in road safety. The success of the Monitor Vial program with Vidar Speed Systems sets a precedent, inspiring other regions and municipalities to explore innovative solutions for enhancing road safety. Puebla’s commitment to leveraging technology for societal betterment positions it as a beacon of leadership and inspiration in the realm of road safety. The program has demonstrated the power of technology and strategic implementation in transforming roads from hazardous corridors into safe havens for all road users.

Want to Learn More About Vidar Camera and Carmen Software?
To delve deeper into the transformative technologies that are behind the „Monitor Vial“ program, explore our dedicated pages:

Vidar Camera: Click here to discover Vidar Camera.

Discover how these cutting-edge tools are revolutionizing road safety and shaping a safer future for all.

King Faisal Air Academy Revolutionizes Entrance Security with Vidar Cameras and Carmen Software

King Faisal Air Academy (KFAI) in Majmmah, Riyadh Governorate, recently implemented a License Plate Recognition (LPR) system in an effort to fortify security and streamline access control at its main gate. The LPR system, developed by Fore Vision, utilizes Vidar cameras, known for their exceptional accuracy and ability to function in diverse conditions, and Carmen software, a powerful OCR engine that can be integrated with various hardware platforms to enable accurate license plate recognition. The academy, under the Ministry of Defence and Royal Saudi Air Forces, sought an advanced solution to enhance its security infrastructure at the main entrance.

Challenges:
Prior to implementing the LPR system, KFAI faced several challenges related to security and efficiency at its main gate:

Inadequate Security: The existing manual gate control system lacked the ability to effectively monitor vehicle access and identify unauthorized vehicles.
Slow Processing Times: The manual gate process was time-consuming, leading to congestion and delays at the entry and exit points.
Limited Data Collection: The lack of an automated system prevented KFAI from capturing and analyzing vehicle data for security and operational purposes.
Potential for Unauthorized Entry: The manual entry process increased the risk of unauthorized vehicles gaining access.

Solution:
To address these challenges, KFAI partnered with Fore Vision, a leading provider of LPR solutions, to implement a new and advanced LPR solution at the main entrance. Fore Vision utilized Adaptive Recognition’s Vidar Cameras and Carmen Software, which are known for their exceptional accuracy and ability to function in diverse conditions.

Vidar Cameras: The Vidar cameras are equipped with advanced sensors and software that enable them to adjust their settings automatically to optimize performance. The cameras were also strategically placed to capture license plates from multiple angles, reducing the likelihood of capturing an incomplete or distorted plate image.
Carmen Software: The Carmen software serves as the central hub for the OCR system, processing captured images, identifying license plates, and verifying the associated vehicle information. The software is integrated with the KFAI toll collection system, allowing for seamless data exchange and automated toll collection. Carmen proved to be a versatile platform that can be customised to meet the specific needs of different toll collection operations, such as stop-and-go, open road, and electronic toll collection (ETC).
Triggering Loop: A system that triggers the cameras for seamless and automated operation. This sophisticated loop system is meticulously calibrated to respond dynamically to vehicle movements. As a vehicle approaches the gate, the triggering loop activates the Vidar Cameras and other associated components, ensuring a timely capture of license plate information.
„SecuPlate“ LPR Application: Operational 24/7, recording all vehicle transactions for accurate monitoring. The continuous operation of „SecuPlate“ guarantees that the security surveillance is unrelenting, contributing to a robust and vigilant monitoring system at the academy’s main gate.
Membership Module: Integrated with barriers and road blockers to facilitate entry for authorized vehicles. The Membership Module operates in harmony with the LPR system, cross-referencing license plate information with a pre-approved database.
Centralized Data Transfer: Data collected at the gate will be seamlessly transferred to a central server once the control room is operational. The efficiency of data transfer enhances the overall responsiveness of the security infrastructure at King Faisal Air Academy.
Scalability: The solution is designed for potential expansion to other gates, ensuring a comprehensive security infrastructure. This forward-thinking approach ensures that as the academy grows or security needs evolve, the LPR system can be seamlessly extended to cover additional entry points

Implementation:
The new LPR system and software were seamlessly integrated into all three lanes of the KFAI main gate. The installation process was streamlined and efficient, facilitated by the easy-to-use web interface and automatic operation mode of the new Vidar cameras. The integration of the new LPR camera system and software across all three lanes of the KFAI main gate was executed with precision, expediting the installation process. Additionally, the new system was carefully calibrated to ensure accurate license plate capture under various lighting conditions and weather conditions.

Results:
KFAI has realized significant results from implementing the new LPR system and software:

Improved Security: The system has strengthened security by enhancing vehicle identification and access control, reducing the risk of unauthorized entry.
Improved Access Control: The authorized vehicles experience seamless entry, contributing to a more secure environment. While the automated gate control has reduced processing times, improving traffic flow and overall efficiency.

Data-driven Insights: The LPR data provides valuable insights into vehicle movements and patterns, enabling KFAI to make informed decisions about security and operations.

Future Plans:
Fore Vision plans to transfer the data from the main gate to a central server once the control room is prepared. Additionally, the company intends to expand the LPR system to other gates at KFAI to further enhance security and operational efficiency across the entire campus.

Overall impact:
KFAI’s implementation of a License Plate Recognition system with Vidar Cameras and Carmen Software demonstrates the transformative power of technology in enhancing security and streamlining operations in the educational sector. The LPR system has provided KFAI with a valuable tool for maintaining a secure and efficient environment for its students, staff, and visitors.

By embracing cutting-edge technology with Vidar Cameras and Carmen Software, the King Faisal Air Academy is now equipped with a robust and scalable License Plate Recognition system. This not only enhances security but also aligns with the academy’s commitment to excellence in education and training. The success of this project sets a precedent for potential future installations and expansions at other gates within the academy.

Want to Learn More About Vidar Camera and Carmen Software?
Intrigued by the transformative technologies that are behind the King Faisal Air Academy Road Safety program, explore our dedicated pages:

Vidar Camera: Click here to discover Vidar Camera.

Carmen Software: Click here to read more about Carmen Software

Discover how these cutting-edge tools are revolutionizing road safety and shaping a safer future for all.

Querétaro’s Road Safety Transformation: „Clicks de Vida“ Program Revolutionizes Road Safety and Sets a New Standard with Adaptive Recognition’s Vidar Cameras

In the heart of Mexico, the State of Querétaro has set a new benchmark in road safety with the groundbreaking „Clicks de Vida“ program. This innovative initiative, born from the government’s unwavering commitment to safeguarding its citizens, has transformed the state’s roads from hazardous corridors into safe havens for all road users.

The „Clicks de Vida“ program’s success stems from its strategic implementation of cutting-edge Vidar Speed technology, provided by Adaptive. These advanced cameras, seamlessly integrated by Autotraffic, a trusted partner with extensive experience in photo enforcement services, have played a pivotal role in addressing the state’s historically high rate of traffic accidents and fatalities.

Challenges: The State of Querétaro, Mexico, faced a critical challenge in maintaining road safety, with a high rate of traffic accidents and fatalities. The outdated and inefficient speed enforcement system proved to be inadequate in deterring speeding, a major contributor to these incidents. Additionally, the lack of adequate surveillance systems hampered the monitoring of road conditions and the detection of traffic violations.

Solution: In response to these challenges, the Government of Querétaro launched the innovative „Clicks de Vida“ program, a comprehensive strategy to enhance road safety and save lives. The program’s cornerstone was the implementation of cutting-edge Vidar Speed technology, provided by Adaptive Recognition and seamlessly integrated by Autotraffic, a trusted provider with two decades of experience in photo enforcement services.

The Vidar Speed systems, renowned for their accuracy and efficiency, were deployed across the state’s busiest roads. These advanced cameras played a pivotal role in achieving a remarkable transformation in road safety, including:

Advanced Speed Monitoring: The implementation of Vidar Speed systems provided authorities with real-time data on vehicle speeds, enabling a proactive approach to target and address instances of speeding. This enhanced speed enforcement became a cornerstone in creating a more responsive and effective road safety strategy.

Continuous Traffic Surveillance: By adopting cutting-edge technology, the program facilitated continuous monitoring of traffic conditions. This improvement in surveillance capabilities played a pivotal role in promptly detecting traffic violations and identifying hazardous driving behaviors, contributing to a safer and more controlled road environment.

Remarkable Impact on Traffic Safety: The deployment of advanced systems resulted in a noteworthy reduction in traffic accidents. Lives were preserved, and the prevention of severe injuries highlighted the program’s substantial impact on overall road safety. The

success in curbing accidents showcased the effectiveness of the program in safeguarding the well-being of both drivers and pedestrians.

Integration with Civil Security Intelligence: The Vidar Speed systems seamlessly integrated with the civil security intelligence program, extending their impact beyond traffic safety. This integration proved invaluable in the identification of vehicle characteristics and license plates, contributing significantly to broader crime-solving efforts. The program became not only a guardian of road safety but also a valuable tool in enhancing civil security and law enforcement efforts.

Implementation: The „Clicks de Vida“ program was implemented in a phased approach, with the first stage involving the deployment of 22 fixed speed detection systems across 14 key control points. These systems were complemented by 2 mobile tripod units, providing versatility in monitoring traffic flow and responding to incidents.

Autotraffic, a trusted partner with extensive experience in photo enforcement services, played a crucial role in the seamless implementation of the Vidar Speed systems. Their expertise ensured the efficient integration of the technology into the existing traffic infrastructure.

Results: The „Clicks de Vida“ program has already yielded remarkable results, transforming the road safety landscape of Querétaro:

98% of Drivers Comply with Speed Limits: A significant shift towards responsible driving practices has been observed, as the vast majority of drivers adhere to speed limits.

50% Reduction in Traffic-Related Injuries: The program’s positive impact on road safety is evident in the 50% decrease in the number of people injured in traffic crashes.

Marked Decrease in Speeding: The Vidar Speed systems have effectively deterred speeding behaviors, with a remarkable reduction in the highest speed detected of offenders, from over 160 km/h to approximately 100 km/h.

Culture of Responsible Driving: Beyond simply penalizing offenders, the „Clicks de Vida“ program promotes a culture of responsible driving. Infraction notifications and incentives like early payment discounts encourage compliance with traffic regulations and foster greater awareness of road safety.

Partnership Appreciations: „As we witness the transformative impact of the ‚Clicks de Vida‘ program in Querétaro, I am proud of the pivotal role played by Vidar Speed technology in fostering a culture of safety. Working alongside our valued partner Autotraffic, we’ve not only achieved tangible results in reducing accidents but also contributed to shaping responsible driving behaviors. This initiative stands as a testament to the power of cutting-edge technology in creating safer roads and inspiring positive societal change said Marton Sipos, Sales Director at Adaptive Recognition.“

Future Plans: The Government of Querétaro remains committed to further enhancing road safety in the state, with ongoing support, firmware updates, and state-of-the-art service, the „Clicks de Vida“ program will continue to evolve. This commitment ensures that Querétaro’s roads remain a haven of safety for its residents.

Overall Impact: Querétaro’s leadership in road safety is evident in the „Clicks de Vida“ program’s success. The program sets a precedent for other regions and municipalities to explore innovative solutions for enhancing road safety. By harnessing the power of technology, Querétaro has demonstrated a commitment to societal betterment and serves as a beacon of leadership in the world of road safety. The „Clicks de Vida“ program has transformed the state’s roads from hazardous corridors into safe havens for all road users, a testament to the transformative power of technology and strategic implementation.

Want to Learn More About Vidar Camera and Carmen Software? To delve deeper into the transformative technologies that are behind the „Clicks de Vida“ program, explore our dedicated pages:

Vidar Camera: Click here to discover Vidar Camera.

Discover how these cutting-edge tools are revolutionizing road safety and shaping a safer future for all.

SouthLink Elevates Toll Collection Efficiency and Customer Satisfaction with Vidar Cameras and Carmen Software

Project Overview: At SouthLink, a toll road operator in Ireland, the management recognised the need to upgrade its aging OCR (Optical Character Recognition) camera system and software to enhance the efficiency and accuracy of its stop-and-go toll collection process. The existing system, installed over 13 years ago, was no longer capable of meeting the company’s growing demands. Its technology and software were prone to misreads and non-reads, which lead to inconsistencies in driver transits through the plaza. Additionally, the maintenance costs for the old system were becoming increasingly unsustainable.

Challenge:

The existing 13 year old OCR system posed several significant challenges for SouthLink:

· Inaccurate Plate Capture: The old cameras struggled to capture license plates accurately, leading to occasional errors in toll collection and a less than optimal experience for drivers and operators.

· Unfavorable Positioning: The cameras were not positioned optimally, further hindering their ability to capture license plates effectively.

· High Maintenance Costs: The maintenance costs for the 13-year old system were escalating, putting a strain on the company’s budget.

· Limited Lane Capacity: The old system could not handle the increasing traffic volume, resulting in slightly longer processing times for drivers.

· Software Limitations: The outdated software lacked flexibility and could not easily adapt to changing traffic patterns and toll collection requirements. This limited the company’s ability to optimise its toll collection process.

Solution:

To address these challenges, SouthLink partnered with Adaptive Recognition, a leading provider of OCR based vehicle identification hardware and software, to implement a new and advanced OCR camera system and software. The new system features Vidar cameras, known for their exceptional accuracy and ability to function in diverse conditions, and Carmen, a powerful OCR engine that can be integrated with various hardware platforms to enable accurate license plate recognition.

The Vidar cameras are equipped with advanced sensors and software that enable them to adjust their settings automatically to optimise performance. The cameras were also strategically placed to capture license plates from multiple angles, reducing the likelihood of capturing an incomplete or distorted plate image.

The Carmen software serves as the central hub for the OCR system, processing captured images, identifying license plates, and verifying the associated vehicle information. The software is integrated with the SouthLink toll collection system, allowing for seamless data exchange and automated toll collection. Carmen proved to be a versatile platform that can be customised to meet the specific needs of different toll collection operations, such as stop-and-go, open road, and electronic toll collection (ETC).

Implementation:

The new OCR camera system and software were seamlessly integrated into all ten lanes of the SouthLink toll plaza. The installation process was streamlined and efficient, facilitated by the easy-to-use web interface and automatic operation mode of the new cameras. The integration of the new OCR camera system and software across all ten lanes of the SouthLink toll plaza was executed with precision, expediting the installation process. Additionally, the new system was carefully calibrated to ensure accurate license plate capture under various lighting conditions and weather conditions.

Results:

The implementation of the new OCR camera system and software has yielded remarkable results:

· Improved Accuracy: The capture rate for license plates has increased by 14.3% across all lane types, leading to a significant reduction in errors and a smoother toll collection process. This has translated into an average of 3.9% fewer toll collection errors, resulting in faster processing times and reduced congestion at the N25 toll plaza.

· Enhanced Customer Experience: Drivers have reported a more positive experience with the new system, as the accuracy of plate capture has improved and delays have been minimised. Complaints related to inaccurate toll charges have also notably diminished.

· Reduced Maintenance Costs: The new cameras and software are less prone to damage and require less frequent maintenance, resulting in significant cost savings. The user-friendly software also allows for remote troubleshooting, minimising the need for on-site technician interventions.

· Faster Installation and Replacement: The new cameras can be installed and replaced more quickly than the old system, allowing for quicker recovery in case of unforeseen issues. The new software is also easier to update, ensuring that the system remains up-to-date with the latest security measures and technology advancements.

· Improved Toll Collection Efficiency: The new system has improved the efficiency of toll collection, reducing delays and congestion. The new software has automated many of the manual processes involved in toll collection, freeing up toll collectors to focus on customer service and other tasks.

Overall Impact: The upgraded OCR camera system and software have been a resounding success for SouthLink, addressing the challenges faced by the outdated system and delivering a number of benefits:

· Reduced Toll Collection Errors: The higher capture rate for license plates has reduced errors and ensured accurate toll collection.

· Improved Customer Satisfaction: Drivers have expressed their satisfaction with the new system, noting a more positive and streamlined experience. Complaints related to toll collection have also diminished.

· Reduced Costs: The lower maintenance costs and faster installation and replacement have contributed to overall cost savings.

· Improved Efficiency: The new system has improved the efficiency of toll collection, reducing delays and congestion.

· Adaptability: The new software is flexible and can easily adapt to changing traffic patterns, toll collection requirements, and even changing weather patterns and diverse lighting conditions throughout the year. This flexibility will allow SouthLink to continuously optimize its toll collection process and accommodate the evolving needs of its customers.

The upgraded OCR camera system and software have positioned SouthLink for continued success in managing its toll plaza operations and providing a streamlined and efficient toll collection experience for its customers. By embracing cutting-edge technology, SouthLink has enhanced its efficiency, reduced customer wait times, and contributed to a more positive and frictionless toll collection process.

Revolutionizing Toll Violation Processing with Vidar Smart ANPR Cameras

BACKGROUND

Since its inception in the mid-90s, the Dulles Greenway has served as a crucial transportation link connecting Washington DC, Dulles Airport (IAD), and the western suburbs of Virginia, Maryland, and West Virginia. Over the years, suburban growth along the Greenway corridor in Loudoun County has led to a significant increase in traffic volume, peaking in 2020 with an average daily ridership exceeding 50,000 trips.

THE CHALLENGES

The Greenway faced several challenges with its legacy toll violation processing system:

Increased Volume: With plans to permanently lift toll gates for enhanced traffic speed and safety, the Greenway needed a solution to handle a surge in violations.
Image Quality: The existing off-the-shelf IP camera system struggled to capture clear images, especially given the varying vehicle speeds and challenging lighting conditions.
Image Triggering: Lack of synchronization with tolling equipment and no vehicle sensing capability necessitated manual video reviews for each violation event.
Reliability: Unpredictable violations volume and human fatigue led to delays in processing and missed collections.
Accuracy: Human errors, image quality issues, and the high-profile nature of the client heightened the need for precise toll violation notices.
Efficiency: The manual process of reviewing recorded video for plate information was labor-intensive, error-prone, and lagged in processing time.

THE SOLUTION

In spring 2023, ExTol Technologies embarked on the installation of 23 Vidar Smart cameras at the main toll facility and five remote plazas with high violations. The installation and configuration were completed within a month, with custom software integrating the cameras into a system that cross-references violation reports with available photos and ANPR data to identify violators.

Adaptive Recognition Technology

The Vidar camera’s primary objective was to ensure excellent image quality under various conditions. It employs a global shutter to capture clear, motion-blur-free full-frame images, even at highway speeds. The dual camera model allowed for two independently configurable image sensors to handle diverse lighting situations. This included capturing paper temporary tags at night, illuminated in IR black and white.

Image triggering was addressed using the Vidar camera’s integrated laser trigger, crucial for capturing rear vehicle images simultaneously with plate info and toll payment indicator lights.

The onboard Carmen® LPR & MMR software provided real-time, accurate results, eliminating a two-month backlog of manual video reviews. False-positive logic and confidence scores filtered results, and post-processing workflows significantly increased accuracy, reducing the need for human reviews.

Quote from the customer

„Adaptive Recognition distinguishes itself from competitors as a comprehensive and reliable manufacturer offering various software and hardware components, reducing overall costs and ensuring streamlined support while upholding top-notch quality and efficiency.“

Their cameras come equipped with advanced features such as API connectivity for programmable event triggers, built-in plate finder software, dual camera lenses with optimized and customizable settings, and onboard encrypted storage. Easy to install and featuring self-calibration capabilities, these cameras exemplify excellence.

The onboard software, including the false-positive optimized confidence scoring engine, is of world-class quality. Competitive pricing reflects the product’s quality, and Adaptive Recognition’s exceptional customer service further solidifies their position as a valuable and responsive partner for our toll violation collection system.

Enhancing Public Safety Through Innovative Surveillance Solutions in Santiago City

Located just 30 kilometers from the bustling metropolis of Monterrey, Mexico, Santiago City, with its 43,000 residents, is not your ordinary suburban town. This picturesque haven is a magnet for ecotourism and relaxation, attracting a constant stream of visitors and vehicles every week. It serves as a gateway to natural beauty, a resting place, and an ever-expanding urban hub, boasting a 20-kilometer stretch of federal highway connecting Monterrey to the rest of the country.

The Public Safety Challenge

Santiago City faces a unique set of public safety challenges, primarily stemming from the substantial influx of external vehicles each week. Approximately 37,000 vehicles, none belonging to the municipality’s residents, pour into the city regularly. Adding complexity to the situation, many of the city’s avenues are secondary, making monitoring vehicle activity through a fixed video surveillance network a daunting task. Among the notable issues observed are:

Weekend Vehicle Deluge: The city experiences a surge in non-resident vehicles during weekends.
Highway Escape Routes: The main municipal highway is often used as an escape route by individuals involved in criminal activities in neighboring municipalities.

Abundant Foliage Concealment: The dense forests and vegetation in the area provide ample hiding spots for stolen vehicles and those used in criminal acts.

The Innovative Solution

To address the pressing need for surveillance and vehicle theft prevention, the municipality took a proactive approach. Police vehicles were equipped with cutting-edge license plate reader cameras, enabling the identification of vehicles listed on blacklists for potential criminal activity, theft, or ongoing investigations.

The police department maintains continuous communication with other law enforcement agencies to keep the vehicle lists up to date.

These lists encompass:

Stolen vehicles
Vehicles with counterfeit license plates
Vehicles suspected or linked to other criminal incidents

The MicroCAM M402 cameras, meticulously crafted by Adaptive Recognition, were seamlessly integrated into the city’s security systems and infrastructure. Operating within a Cloud-based model, these mobile units swiftly transmit license plate readings to the city’s intelligence system. In the event of a match against the vehicle blacklist, an instant notification is dispatched to an Android-type device situated in the patrol car, concurrently alerting other police units.

Remarkable Outcomes

The implementation of MicroCAM M402 cameras has yielded impressive results, thanks to their exceptional reliability in all weather conditions. The standout monthly achievements include:

Plate Readings: A staggering 600,000 license plate readings
Identification and Recovery of Stolen Vehicles: An average of 14 vehicles per month

The following key factors have been instrumental in achieving these outcomes within the police license plate reading model embedded in patrol cars:

Dependable Camera Technology: Employing reliable cameras like the MicroCAM M402.
Protocols and Training: Implementation of police protocols and rigorous training for operational personnel to respond swiftly upon a positive blacklist match.
Collaboration with Law Enforcement Agencies: Maintaining seamless coordination with various law enforcement agencies to ensure up-to-date vehicle lists.

About CDP Group Solutions

This groundbreaking security solution was meticulously designed and executed by CDP Group Solutions, with invaluable technical support from Adaptive Recognition staff.

CDP Group Solutions, headquartered in Monterrey, Mexico, specializes in providing cutting-edge products and solutions tailored for law enforcement agencies throughout Mexico. Their core product lines include:

Policy management software
NIJ Body Armor equipment
Police vehicle equipment
Certified armored vehicles

Santiago City’s transformation into a safer, more secure haven stands as a testament to the vision and commitment of CDP Group Solutions and Adaptive Recognition in making communities thrive.

Revolutionizing Dangerous Goods Identification on Slovenian Highways

BACKGROUND

In the vast network of Slovenian highways, safety is paramount, especially when it comes to the transportation of dangerous goods. ASIST d.o.o., a leading company in Slovenia specializing in road traffic management systems, joined forces with Adaptive Recognition to successfully implement a state-of-the-art Dangerous Goods Identification System (ADR) on Slovenian highways for the Slovenian highway agency, DARS. The project commenced in June 2022 and was completed within a year. It involved the deployment of 88 Vidar Smart 2xFHD LT cameras for license plate recognition in the field. These cameras were seamlessly integrated into local systems, connecting to a central SCADA (Traffic Control Centre) system, and a user-friendly graphical interface was developed to display real-time data.

Challenges

Identifying Vehicles in Complex Conditions:

The Slovenian highway system posed unique challenges. With 11 tunnels and 21 sections to cover, ensuring accurate and timely identification of vehicles transporting hazardous materials was no small feat. Cameras needed to function flawlessly in a variety of environmental conditions, from the glaring direct sunlight that plagued some areas to the stark contrasts of day and night.

Stringent Recognition Targets: The project demanded exceptionally high recognition accuracy rates. DARS set demanding targets: at least 90% for ADR plates with Kemler’s mark, 80% for empty ADR plates (while tolerating false positives and false negatives), and a minimum of 95% for undamaged plates. These targets were non-negotiable, given the criticality of accurate identification in hazardous cargo situations.

Solution

Deploying the Vidar Smart 2xFHD LT Cameras:

To meet the complex demands of the project, ASIST d.o.o. and Adaptive Recognition deployed a comprehensive system featuring 88 Vidar Smart 2xFHD LT cameras. These high-performance cameras were strategically placed both inside and outside tunnels, ensuring thorough coverage of all critical points. Their exceptional image quality, even under challenging lighting conditions, was pivotal in meeting the stringent accuracy requirements.

Advanced Algorithms and Environmental Adaptability:

In order to meet project’s requirements, advanced algorithms for setting image parameters based on environmental conditions needed to be developed. This dynamic adjustment allowed the cameras to optimize aperture, exposure time, ISO settings, and more, ensuring clear and accurate readings in any situation. These algorithms also facilitated the secondary recognition of ADR plates, surpassing the 95% recognition threshold for undamaged plates.

Inductive Loop Integration for Precision: Vehicle detection was a critical aspect of the project, demanding precision and reliability. The solution incorporated inductive loops for vehicle detection, ensuring accuracy rates of at least 99%. This component played a pivotal role in triggering detections and ensuring the seamless flow of information within the system.

Central Server System and User-Friendly Interface: A central server system formed the backbone of the operation, equipped with various modules and interfaces. This infrastructure enabled real-time data processing, storage, and reporting. A user-friendly graphical interface was developed to allow efficient data access, export, and visualization. It streamlined the workflow, enhancing overall operational efficiency and road safety on Slovenian highways.

This cutting-edge system not only identifies vehicles with ADR plates but most importantly informs traffic supervisors about the type of hazardous substance being transported in real time. It ensures unambiguous information, especially in critical situations like fires in tunnels.

In conclusion, ASIST d.o.o. and Adaptive Recognition successfully overcame the formidable challenges of this project, ensuring the safe and efficient identification of vehicles transporting dangerous goods on Slovenian highways. Their innovative approach, combined with state-of-the-art technology, has ushered in a new era of road safety and hazardous cargo management.

Adaptive Recognition Devices Used by Hansab Transform Parking Lot Experience with Effortless Entry and Enhanced Comfort

The challenge

SHED Co-Living, a contemporary and eco-friendly student housing facility, has recently opened its doors in Vilnius, the capital of Lithuania. This innovative establishment offers a compelling alternative to outdated and underwhelming dormitories, as well as pricey private accommodations.

Recognizing the need for a modernized parking experience for both residents and short-term visitors, SHED Co-Living embarked on a mission to revolutionize the parking facilities at the dormitory. Instead of relying on cumbersome and time-consuming ticketing systems, the vision was to create a solution that allowed drivers to effortlessly enter and exit the parking lot without leaving their vehicles. Additionally, payment procedures would be simplified by a convenient mobile app. This forward-thinking approach not only saves valuable time for residents and visitors but also aligns seamlessly with SHED’s contemporary and sustainable atmosphere.

The solution

As part of its seamless parking solution, Hansab has deployed its cutting-edge Entringo parking system in conjunction with uniPark’s user-friendly mobile app. A pivotal component of this system is the state-of-the-art Einar ANPR camera, developed by Adaptive Recognition, which facilitates access control and parking management.

The next-generation Einar cameras have the remarkable capability to scan license plates and nameplates from vehicles spanning countries worldwide. Positioned at the entrance, an accompanying escort screen displays the camera’s captured image, assisting drivers in positioning their vehicles optimally to ensure the license plate is within view. Furthermore, this feature proves invaluable in verifying that the license plate remains unobstructed by snow, rain, or dirt, ensuring an efficient and hassle-free parking experience.

The seamlessly integrated software connected to the surveillance cameras performs a crucial function by meticulously recording the number of vehicles present on-site and accurately calculating their parking duration. This valuable information serves a dual purpose: monitoring the availability of vacant parking spaces and streamlining the parking process through automation.

To ensure a cohesive system, license plate and time data are synchronized with a centralized server. Moreover, a local database guarantees uninterrupted system functionality, even in the absence of an Internet connection.

By associating the duration of each vehicle’s stay with their respective license plates, this data becomes instrumental in vehicle identification. Leveraging this information, uniPark’s mobile app effectively manages payment transactions, further enhancing the convenience and efficiency of the parking experience.

In this type of parking lot, the services of a controller are no longer needed. Thanks to seamless synchronization with the accompanying mobile app, customers can now effortlessly and swiftly make payments for the service. Furthermore, the elimination of ticket requirements promotes a culture of sustainability and reduces waste.

A customer service and technical team is available 24/7, which ensures that the system’s ongoing operation and active maintenance.

In short, this innovative solution not only saves customers valuable time and money but also streamlines day-to-day processes, making them more straightforward and efficient than ever before.

Automatic number plate recognition to reduce traffic congestion at Orleans’ Nauset Beach

The Challenge

Nauset Beach is one of the most iconic beaches along the Eastern United States. Situated on Cape Cod, a peninsula that extends 65 miles into the Atlantic Ocean, Nauset Beach is a desirable location in which people from all over the world come to vacation and relax with family during the summer season.

The beach is managed by the Town of Orleans in conjunction with the Federal Government. As the Atlantic Ocean’s erosion consumed hundreds of parking spaces, the Town of Orleans had difficulties in accommodating the masses of beachgoers at Nauset Beach. The town launched “Beat Back Retreat,” a plan to relent to the encroaching Atlantic and move necessary infrastructure westwards, with an additional and larger parking lot.

Vidar cameras have been installed to capture both front and rear plates on vehicles

For over 50 years, all beach traffic had traveled down Beach Road to an attendant’s shack. Every car would then transact for daily parking or display their vehicle seasonal sticker for visual verification. Unfortunately, on a busy beach morning there could be hundreds of cars backed up along Beach Road. Often cars would sit in line for an hour. The “Beat Back” was an opportunity not only to reclaim the revenue lost from Mother’s Nature’s destruction of hundreds of parking spaces, but also to streamline entry to the beach parking lot for everyone alike.

The Town of Orleans consulted with Bonsai Logic to start the project. The key priority was to get daily traffic through quickly. The traffic congestion had historically presented not only customer service issues, but more importantly safety issues for emergency personnel arriving at and departing the parking lot. Safety response time is a top consideration when providing a safe beach environment for thousands of members of the public.

The Solution

Bonsai Logic recommended ingress traffic increase from one lane of entry to four lanes – two with parking kiosks to facilitate daily payments and two lanes with license plate recognition for existing permit holders. This would allow anyone holding a seasonal permit to go through either of the LPR lanes without even stopping, and those paying for daily parking can easily use one of the two TownHall247 kiosks with cards and NFC payments such as Apple Pay and Google pay.

Two cameras per lane were installed, one for each front and rear plate. Bonsai Logic’s PlateTracker logistically assembles the cameras, operates with a dynamic database, and provides access control functionality through a desktop application.

Bonsai Logic chose Adaptive Recognition’s Vidar LPR/ANPRV camera because of its ability to deliver the accuracy and speed required in managing this solution. While other hardware offerings were reviewed as well, those either fell short in real-world tests, or were missing key functionality and were available for a higher cost. Therefore, different models of the Vidar cameras were installed on the site, including mobile vehicle-mounted enforcement units.

The Vidar Smart camera in action: reading the license plate of an entering vehicle

Government environments have stringent and rigid expectations for quality and consistency. Adaptive Recognition’s Vidar cameras offer flexibility with regard to trigger inputs, lighting and exposure, infrared quality, onboard logic and much more. The engine quality and general ANPR decryption LPR come at a value that is allowing Bonsai Logic to grow quickly and easily within its clients’ budgets.

The quality of the OCR is excellent with a remarkably low error rate that exceeds the clients’ expectations. With the Vidar cameras triggered by inductance loops, Bonsai Logic’s TownHall247 software is able to provide a 99.99% capture rate and over a 95.5% successful recognition rate.

Offering the LPR solution versus the traditional sticker-based solution also provides the Town of Orleans with real facility entrance data, so that they can make policy decisions from a more educated standpoint.

The Town of Orleans will no longer struggle with gridlock in the morning or identifying traffic and busy periods, thanks to Bonsai Logic and Adaptive Recognition.

Adaptive Recognition Solutions Used

The Vidar Smart camera is a highly advanced ANPR camera designed to read and recognize license plates in various weather and lighting conditions. Thanks to two 4-core built-in CPUs, Vidar has exceptional computing power: it is capable of video streaming, ANPR, MMR, and data streaming at the same time.

Vidar performs ANPR-related tasks onboard with the Carmen® engine and forward license plate, and optionally vehicle make, model, and color information to video management systems.

The camera can cover up to two lanes thanks to its high-performing sensors. In addition, it self-adjusts its own zoom and focus settings for perfect imaging and flawless ANPR results.

A set of dual optics allows the camera to capture both license plate-focused and overview images of vehicles simultaneously, and it also features a built-in laser trigger, which triggers the camera to capture images just at the right time.

Know more

If you are thinking about implementing a solution similar to the automatic number plate recognition system of Nauset Beach, you are at the right place.

Adaptive Recognition’s team of experts is happy to answer your questions and help to find out whether a member of the Carmen® LPR/ANPR software family or an Adaptive Recognition LPR/ANPR camera, can be a suitable choice for your project. Get in touch with us here →

Vidar is a high-performing component of any weigh-in-motion system. However, thanks to its versatility and advanced features, it may be applicable in many other use cases as well, from container code recognition to speed enforcement. If you want to learn more about the Vidar camera, visit its dedicated product page →