This is the Linux app named DeepCamera whose latest release can be downloaded as Aegis-Quick-releasesourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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DeepCamera
DESCRIPTION
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
Programming Language
JavaScript
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/deepcamera.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
