Project #38 | How to Install OpenCV, Keras & TensorFlow for Machine Learning Projects 2026
🚀 Raspberry Pi 5 Machine Learning Setup 2026 | OpenCV, TensorFlow & Keras Installation Guide
In this video, we demonstrate the *successful installation of OpenCV, TensorFlow, and Keras on Raspberry Pi 5* for a real-world **Machine Learning-based conveyor belt project**.
We also discuss common Raspberry Pi errors and their solutions, making this tutorial extremely useful for AI and Computer Vision developers.
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⚠️ Common Errors Covered:
✔ qt.qpa.plugin: Could not find Qt platform plugin "wayland"
✔ Failed to grab camera frame issue
✔ externally-managed-environment error (Python pip issue)
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🤖 Project Overview:
This setup is used in a *Machine Learning conveyor belt system* where a camera detects *healthy and faulty brushes* using a CNN (Convolutional Neural Network) model.
We also use *Arduino communication via PySerial* to send commands from Raspberry Pi to Arduino for automation control.
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🛠 Technologies Used:
✔ Raspberry Pi 5
✔ Python
✔ OpenCV
✔ TensorFlow
✔ Keras
✔ CNN Model
✔ Arduino
✔ PySerial
✔ Computer Vision
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📦 Installation Steps (OpenCV 4.8.0):
1. free -m
2. wget https://github.com/Qengineering/Insta...
3. sudo chmod 755 ./OpenCV-4-8-0.sh
4. ./OpenCV-4-8-0.sh
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🎯 Perfect For:
• AI & ML Students
• Raspberry Pi Projects
• Computer Vision Developers
• Final Year Projects (FYP)
• Industrial Automation Projects
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💡 Need Help With Your Project?
We provide help in:
✔ Raspberry Pi AI Projects
✔ Machine Learning Systems
✔ Computer Vision Projects
✔ Arduino & IoT Integration
📞 WhatsApp: +92 305 7736599
📍 Faisalabad, Pakistan
⚠️ Paid support only (no free requests)
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