LookAtMe-Genius-Cameraman/T_System
the moving objects tracking system via two axis camera motion (and as optionally n joint robotic arm) for raspberry pi distributions
This system helps you automatically track moving or stationary objects using a camera mounted on a two-axis pan-tilt mechanism, or optionally a robotic arm, powered by a Raspberry Pi. It takes live camera footage and outputs real-time camera movements to keep the target in view, effectively acting as an automated cameraman. This is ideal for hobbyists, educators, or small-scale surveillance users who want to build a hands-free tracking setup.
No commits in the last 6 months.
Use this if you need to build a cost-effective, automated camera system on a Raspberry Pi that can follow specific targets or keep them centered in the frame.
Not ideal if you require professional-grade precision tracking, advanced multi-object detection, or industrial-scale automation without building your own hardware setup.
Stars
19
Forks
9
Language
Python
License
MIT
Category
Last pushed
Dec 08, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/LookAtMe-Genius-Cameraman/T_System"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ModelDepot/tfjs-yolo-tiny
In-Browser Object Detection using Tiny YOLO on Tensorflow.js
google-research-datasets/Objectron
Objectron is a dataset of short, object-centric video clips. In addition, the videos also...
sthanhng/yoloface
Deep learning-based Face detection using the YOLOv3 algorithm (https://github.com/sthanhng/yoloface)
AutoPTZ/autoptz
AI Tracking Solution for Any PTZ Cameras
OlafenwaMoses/DeepStack_ExDark
A DeepStack custom model for detecting common objects in dark/night images and videos.