Enhanced Realtime Object Detection | Raspberry Pi 5 + Coral EdgeTPU + PiCamera 3 Wide NoIR

Описание: In this video, we take object detection on the Raspberry Pi 5 to the next level by using the Coral EdgeTPU USB Accelerator for real-time inference.
We set up two Python environments — one for capturing and sending camera frames over sockets (Python 3.11) and another for receiving and running inference on the Coral EdgeTPU (Python 3.9). Finally, the results are displayed using OpenCV.

With this setup, inference becomes significantly faster compared to CPU-only detection on the Raspberry Pi.


📌 What You’ll Learn:
Setting up dual Python environments (3.11 & 3.9)
Sending frames via socket communication
Running real-time inference with the Coral EdgeTPU coprocessor
Displaying detections with OpenCV


🛒 Products Used in this Project:
Raspberry Pi 5 → https://robu.in/product/raspberry-pi-...
Coral USB EdgeTPU Accelerator → https://robu.in/product/coral-usb-acc...
Raspberry Pi Camera Module 3 Wide NoIR → https://robu.in/product/raspberry-pi-...


🔗 GitHub Repository (Code & Setup Guide):
https://github.com/rohan2das/raspberr...


🎵 Track Credit:
Track: sumu - apart [NCS Release]
Music provided by NoCopyrightSounds.
Watch: http://ncs.lnk.to/apartAT/youtube


▶️ Previous Videos in this Playlist:
1️⃣    • Raspberry Pi 5 Setup Tutorial | Install OS...  
2️⃣    • Real-Time Object Detection on Raspberry Pi...  


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#raspberrypi5 #googlecoral #coralusbaccelerator #objectdetection #yolov8 #opencv #edgetpu #raspberrypiprojects #machinelearning #computervision