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devprincekumar/yawcam-ai

By devprincekumar

Updated 10 months ago

Edge AI NVR: RTSP in, YOLO detection + recording out. Persistent, portable, CPU/GPU ready.

Image
Internet of things
Machine learning & AI
Data science
0

422

devprincekumar/yawcam-ai repository overview

A ready-to-run edge AI container that delivers YOLO-powered detection, recording, and event automation with a headless web UI, RTSP support, persistent storage, and optional CUDA acceleration.

The CPU image runs anywhere (laptops, servers, Pi streams), while the GPU build auto-leverages NVIDIA cards for faster inference and falls back to CPU if absent.

Designed for home/industrial surveillance, smart camera pipelines, RTSP NVR workloads, and edge deployments, it supports model swapping for retrained YOLO variants and integrates cleanly with PiStream-Lite for video input and EdgePulse for system health and thermal optimization. Perfect for users who want a portable AI video engine without manual setup, detect, record, automate, and extend directly at the edge.

Tag summary

Content type

Image

Digest

sha256:4747f5134

Size

444.9 MB

Last updated

10 months ago

docker pull devprincekumar/yawcam-ai