TRASSIR Neuro Counter
Technical Specifications
Overview
TRASSIR Neuro Counter
Counts objects - people, cars, bicycles. Detects and counts objects entering or leaving a specified area or crossing a virtual line with high precision. You can count objects by category, for example, by clothing color, and exclude certain categories from the report, such as employees.
The detector is based on deep learning neural networks. The use of ANN significantly reduces the number of false positives.
TRASSIR Neuro Counter runs on NeuroStation series video recorders and supports Offload analytics (processing streams from other servers).
Counts objects - people, cars, bicycles. Detects and counts objects entering or leaving a specified area or crossing a virtual line with high precision. You can count objects by category, for example, by clothing color, and exclude certain categories from the report, such as employees.
The detector is based on deep learning neural networks. The use of ANN significantly reduces the number of false positives.
TRASSIR Neuro Counter runs on NeuroStation series video recorders and supports Offload analytics (processing streams from other servers).
Documentation
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