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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 ...
Impressive TraFFic CaMMRa results on Axis Q1700
Impressive results demonstrate FF Group technical field experiment with EDGE license plate recognition and classification engine on Axis Q1700. Our TraFFic CaMMRa got even faster (up to 30%). Intensive city traffic flow on 3 lanes in tough conditions (e.g. sun ...
Full TraFFic CaMMRa version Australia and New Zealand
Our customers can test TraFFic CaMMRa DEMO for the Australia and New Zealand! Our team released the full TraFFic CaMMRa version (LPR+MMR) adjusted to this region. Remember that CaMMRa detects vehicle license plate, make, model, type, and color on Axis ...