Adaptive Recognition’s article in the Intertraffic 2019 magazine debunks four myths related to automatic number plate recognition (ANPR) – or, to apply the magazine’s preferred terminology, automatic license plate recognition (ALPR). Some common myths are about imaging, while some others are about image processing and system design options.
Myth, reality, and bottom line; the article covers each topic in an accessible, practical manner. The writers also share Adaptive Recognition’s field-tested in-depth knowledge accumulated in the course of over 27 years as a developer and manufacturer of key ALPR hardware and software components.
The Four ALPR myths
The most frequent questions regarding ANPR – and their myths to be unraveled in the article:
- Can you use any CCTV camera as the imaging tool in an ANPR system? Or do built-for-the-task ANPR cameras actually produce superior results?
- Would it be a good idea to use a multi-megapixel recognition camera for ANPR to cover multiple lanes?
- In ALPR, is system accuracy the same as camera accuracy? Can a system actually work better than its components?
- Considering your alternatives in ANPR system architecture, which one is your best bet: server-side or camera-side ALPR image processing? Optimal use of bandwidth and flexibility are key factors.
As for the content of the article, it is the joint work of Adaptive Recognition’s executives and content marketing writers. As for the layout and presentation of the article, the credit goes to the highly professional and committed editorial staff of Intertraffic World, who put in an extra effort. Just check out the great comic-style illustrations and the superb editing!