Research & prototype portfolio
This page documents earlier engineering work. This complete system is not offered as a self-serve product. Explore the available engines.
SEAT BELT DETECTOR (YOLOV4)
Brief Introduction
This model detects seat belts.
Number of classes
1 class: (seat_belt)
Metrics
mean average precision (mAP@0.50) = 40 %
System requirements
Inference time using CPU: 300 ms (on HP Laptop 15-DA0042NH (Processor: Intel(R) Core(TM) i7-8550U CPU))