This human following robot detects a human using a Machine Learning model 'MobileNet SSD v1 (COCO)'. Once a human is detected, its tracking algorithm gets activated and it starts following the human.

TensorFlow Lite Python APIs are used to implement Object Detection and Tracking. OpenCV is used for generating Robot's view with information overlay. FLASK is used for streaming the camera view (or Robot's view) over LAN.

#CoralUSBAccelerator #HumanFollowingRobot #RaspberryPi

Source Code:-
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