![]() This guide will use a Raspberry Pi 4 and ThingSpeak to create a crowd-counting system based on OpenCV. ![]() ![]() In today's world of cutting-edge technology, digital image processing has expanded rapidly to become an integral feature of many portable electronic gadgets.ĭigital image processing is widely used for such tasks as item detection, facial recognition, and people counting. A facial recognition program was among the earlier attempts to use Raspberry Pi for sophisticated picture processing. Regarding image processing, the Raspberry Pi consistently comes out on top compared to other controllers. We used the weights from the YOLO version 3 Object Recognition Algorithm to implement the Deep Neural Networks part. In the previous article, we built a system that recognizes when two people are in physical contact using OpenCV and a Raspberry Pi 4. ![]() Welcome to the next tutorial on our raspberry pi four python programming. ![]()
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