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A combination of software and hardware was used to develop an artificial intelligence (AI) computer vision model that can detect, classify and count vehicles in real-time. Together with a camera providing a real-time video, further analysis such as pedestrian detection, speed estimation, traffic flow, and more were achieved.
The AI engine was deployed on NVIDIA Jetson embedded computing boards along with a combination of ResNet 10 for vehicle detection, ResNet 18 for vehicle classification, and NvDCF (Nv-adapted Discriminative Correlation Filter) for vehicle tracking.