TensorFlow Lite on Raspberry Pi 4 can achieve performance comparable to NVIDIA’s Jetson Nano at a fraction of the cost.

With the new Raspberry Pi 400 (image credit: raspberrypi.org) shipping worldwide, you might be wondering: can this little powerhouse board be used for Machine Learning?

The answer is, yes! TensorFlow Lite models running on Raspberry Pi 4 boards can achieve performance comparable to NVIDIA’s Jetson Nano board. If you add a The Coral Edge TPU USB Accelerator, you can achieve real-time performance with state-of-the-art neural network architectures like MobileNetV2.

This performance boost unlocks interesting offline TensorFlow applications, like detecting and tracking a moving object. Offline inference is done entirely on the Raspberry Pi.

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