ANISH-2814/InnoVision
⚙️ InnoVision – An 🤖 AI-powered industrial quality assurance system using YOLOv8, 🐍 Python, and 🍓 Raspberry Pi 4. Detects defective components in real-time 🎥 and automatically rejects them with a 🚀 servo mechanism. Includes 📡 ultrasonic detection, 🛞 conveyor control, and 💻 edge deployment for a smart, low-cost automation solution.
No commits in the last 6 months.
Stars
6
Forks
—
Language
Python
License
—
Category
Last pushed
Jun 22, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ANISH-2814/InnoVision"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
RajdeepBiswas/Manufacturing-Quality-Inspection
I have built the computer vision models in 3 different ways addressing different personas,...
Elias-Arbash/PCBVision
A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boards
huangyebiaoke/steel-pipe-weld-defect-detection
Deep Learning Based Steel Pipe Weld Defect Detection
LukeVassallo/RL_PCB
RL_PCB is a novel learning-based method for optimising the placement of circuit components on a...
utkarsh-ankit/Defect-Detection-of-PCB
A repository for creating a Deep Learning model for Defect Detection in PCBs and to design a Web...