Transforming Serbian Road Monitoring with Adaptive Recognition’s Vidar Cameras 

Ensuring road safety in today’s rapidly evolving transportation landscape is a top priority, especially when it comes to managing the transportation of hazardous materials and oversized vehicles. VUCOMM d.o.o., a company specialized in designing Multi-Service LAN and WAN solutions using cutting-edge communication and IP video security equipment, collaborated with the Public Enterprise “Putevi Srbije” to implement a pioneering project that focuses on making road networks safer for all. This case story highlights the successful integration of Adaptive Recognition’s Vidar cameras into the infrastructure of state roads, showcasing their impressive capabilities in recognizing vehicles carrying dangerous goods and oversized loads. 

Project Overview: The Serbian Public Enterprise “Putevi Srbije” initiated a groundbreaking project to establish advanced Multi Lane Free Flow on state roads. The project’s primary goal was to identify vehicles transporting hazardous materials, recognize vehicle license plates, and provide detailed information about the vehicle’s color, type, and model, with a specific focus on ADR compliance. The cornerstone of this innovative project is the deployment of Adaptive Recognition’s Vidar cameras, encompassing vehicle counting, vehicle categorization, and precise traffic data collection. These functionalities set the foundation for a future free flow automatic road toll concept in the country. 

Challenge: The project encountered several complex challenges in the road transportation landscape that required effective solutions. These challenges included the need for precise vehicle measurement to ensure accurate data, simultaneous axle counting for accurate vehicle categorization, the prompt detection of oversized vehicles to enhance safety, efficient data management and sharing with relevant stakeholders to improve operational efficiency, and the crucial requirement for consistent and reliable camera performance, regardless of network status. 

Solution: Adaptive Recognition’s Vidar cameras emerged as the comprehensive solution to effectively address these challenges. These cameras facilitated image-based axle counting and identified passing vehicles’ categories, enhancing road safety by categorizing them based on make, model, and color recognition. The data management central database software used was the Globessey Data Server (GDS), which streamlined data management and sharing with stakeholders, significantly enhancing operational efficiency. Vidar cameras featured integrated intelligence, high-resolution IP cameras, and laser technology for vehicle detection. Their decentralized architecture ensured uninterrupted ANPR and MMR functionality, regardless of network status, providing a robust solution to the project’s challenges. 

Conclusion: The implementation of Adaptive Recognition’s Vidar cameras by VUCOMM d.o.o. in collaboration with Putevi Srbije represents a significant leap forward in enhancing road safety and monitoring on Serbian state roads. These advanced cameras detect hazardous material transportation, recognize license plates, and categorize vehicles accurately, including color, type, and model with ADR compliance. With their decentralized architecture, Vidar cameras ensure consistent and reliable performance, irrespective of network status. 

Products Used: The Vidar cameras by Adaptive Recognition, including the Vidar Axle Counter Camera and the Vidar ANPR Camera, played a crucial role in the successful completion of this project. These high-quality multipurpose cameras provided a comprehensive solution for enhancing road safety and managing road transport on state roads in Serbia. Moreover, the combination of the Vidar ANPR and Axle cameras proved instrumental by offering a reliable data source (ALPR, Category, MMR). This reliable data source establishes the foundation for automatic road toll systems, ensures traffic and tunnel safety, and facilitates the implementation of smart city applications.