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AI Robot: Object Tracking | Object Following | TensorFlow Lite on Raspberry Pi
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This AI Robot performs object tracking using a Machine Learning model 'MobileNet SSD v1 (COCO)'. Once the object is detected, it follows it and manoeuvres itself to get the object in the center of frame. While the robot is tracking / following the object, working of tracking algorithm and Robot's view can be accessed on a browser.
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.
#Robotics #ObjectTracking #RaspberryPi
Source Code:-
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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.
#Robotics #ObjectTracking #RaspberryPi
Source Code:-
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