DeepCamera empowers your traditional surveillance cameras and CCTV/NVR with machine learning technologies. It provides open-source facial recognition-based intrusion detection, fall detection, and parking lot monitoring with the inference engine on your local device. SharpAI-hub is the cloud hosting for AI applications that helps you deploy AI applications with your CCTV camera on your edge device in minutes. SharpAI yolov7_reid is an open-source Python application that leverages AI technologies to detect intruders with traditional surveillance cameras. The source code is here It leverages Yolov7 as a person detector, FastReID for person feature extraction, Milvus the local vector database for self-supervised learning to identify unseen persons, Labelstudio to host images locally and for further usage such as label data and train your own classifier. It also integrates with Home-Assistant to empower smart homes with AI technology.

Features

  • Empower any camera with the state of the art AI
  • Easy to use Edge AI development environment
  • ML pipeline for AI camera/CCTV development
  • Person recognition(RE-ID)
  • Documentation available
  • Feature clustering with vector database Milvus
  • Labelling with Labelstudio
  • AI frameworks in Docker

Project Samples

DeepCamera Screenshot 1

Project Activity

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Categories

Machine Learning, LLM Inference

License

MIT License

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

JavaScript

Related Categories

JavaScript Machine Learning Software, JavaScript LLM Inference Tool

Registered

2024-08-14
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