Qengineering/Qengineering
Machine vision apps
This project offers ready-to-use software for various computer vision tasks on single-board computers like Raspberry Pi or Rock 5. It takes live camera feeds or stored video as input and outputs classifications, object detections, tracking data, or traffic counts. This is ideal for hobbyists, small businesses, or educators building smart camera systems for surveillance, automation, or environmental monitoring.
Use this if you need to quickly deploy AI-powered object recognition, tracking, or counting systems using affordable single-board computers like a Raspberry Pi.
Not ideal if you require highly complex, custom deep learning models or enterprise-grade cloud-based vision solutions.
Stars
39
Forks
8
Language
—
License
—
Category
Last pushed
Feb 16, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/Qengineering/Qengineering"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
PINTO0309/OpenVINO-YoloV3
YoloV3/tiny-YoloV3+RaspberryPi3/Ubuntu LaptopPC+NCS/NCS2+USB Camera+Python+OpenVINO
RangiLyu/nanodet
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) /...
dog-qiuqiu/MobileNet-Yolo
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops...
Qengineering/Face-Recognition-Jetson-Nano
Recognize 2000+ faces on your Jetson Nano with database auto-fill and anti-spoofing
Qengineering/YoloV8-NPU
YoloV8 NPU for the RK3566/68/88