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Unsupervised learning for EDGE solutions
Can recognition systems self-educate with minimal human intervention (“without a teacher”)? Today, almost all traffic projects use EDGE and server software trained utilizing "supervised learning" principles. This requires a great deal of effort, time and expense in collecting and organizing ...
FF Group benchmarks for 2021
1. LPR applications on EDGE have already taken a strong position in the CCTV market with a sufficient number of players. It has become not just nice technology, but a commodity. 2. Strengthen the LPR App with vehicle make, model, ...
Russell’s teapot or 99% recognition accuracy
Can real license plate recognition be more than 95%, for example, 99%? And what does the 99% recognition accuracy rate mean for the customers? Recognition accuracy is an excellent marketing indicator of the LPR software quality, understandable to the customer. ...