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TensorFlow Lite is an optimized framework for deploying lightweight deep learning models on resource-constrained edge devices. TensorFlow Lite models have faster inference time and require less processing power, so they can be used to obtain faster performance in realtime applications.
System Requirements
Hardware
· Raspberry Pi Board (4B , 3B+)
· IP Camera, USB Camera or Pi Camera
· SD Card 32GB
· 5V DC. 2A Power Supply
Software
· OS Raspbien 10 ( buster )
· Python 3.7.2
· Tensorflow lite 1.14.0
· OpenCV 4.0.0
Machine Learning Model : MobileNet SSD V2 Quantised