DeepCamera

Why we included this project

DeepCamera is for people who run home or small-business cameras and want the feeds to do more than just record. It packages the usual surveillance work, object detection, face recognition, license-plate reading, depth-based anonymization, and SAM2 segmentation, into skills that all run on your own hardware, so footage never leaves the premises. Scene understanding and fall detection lean on modern vision-language models, and alerts can be pushed to Telegram, Discord, or Slack. The same skill also runs on NVIDIA, Apple Silicon, Intel, or a Coral USB TPU with automatic model conversion, which makes the hardware choice less of a commitment. If you want a pluggable surveillance setup with local inference and the ability to add new capabilities without rebuilding the core, this is a practical starting point.