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 which help you deploy AI applications with your CCTV camera on your edge device in minutes.

• facial recognition
• person recognition(RE-ID)
• parking lot management
• fall detection

• feature clustering with vector database Milvus
• labelling with Labelstudio

• AI frameworks in docker
• desktop in docker with web vnc client, so you don't need even install vnc client

pip3 install sharpai-hub

SharpAI yolov7_reid is an open source python application leverages AI technologies to detect intruder with traditional surveillance camera. Source code is here

It leverages Yolov7 as person detector, FastReID for person feature extraction, Milvus the local vector database for self-supervised learning to identity unseen person, Labelstudio to host image locally and for further usage such as label data and train your own classifier. It also integrates with Home-Assistant to empower smart home with AI technology.

pip3 install sharpai-hub
sharpai-cli yolov7_reid start

If you are using Windows, you can use following command line to start yolov7_reid application

python3 -m sharpai_hub.cli yolov7_reid start

Then please following the instruction which sharpai-cli provides.
The yolov7 detector is running in docker, you can access the docker desktop with http://localhost:8000

Home-Assistant is hosted at http://localhost:8123
Labelstudio is hosted at http://localhost:8080

We received feedback from community, local deployment is needed. With local deepcamera deployment, all information/images will be saved locally.
sharpai-cli local_deepcamera start

• Register account on SharpAI website
• Login on device: sharpai-cli login
• Register device: sharpai-cli device register
• Start DeepCamera: sharpai-cli deepcamera start

SharpAI Screen monitor captures screen extract screen image features(embeddings) with AI model, save unseen features(embeddings) into AI vector database Milvus, raw images are saved to Labelstudio for labelling and model training, all information/images will be only saved locally.

sharpai-cli screen_monitor start

SharpAI community is continually working on bringing state-of-the-art computer vision application to your device.

sharpai-cli <application name> start

• Jetson Nano (ReComputer j1010)
• Jetson Xavier AGX
• MacOS 12.4
• Windows 11
• Ubuntu 20.04

• DaHua / Lorex / AMCREST: URL Path: /cam/realmonitor?channel=1&subtype=0 Port: 554
• Ip Camera Lite on IOS: URL Path: /live Port: 8554
• Nest Camera indoor/outdoor by Home-Assistant integration

• If you are using a camera but have no idea about the RTSP URL, please join SharpAI community for help.
• SharpAI provides commercial support to companies which want to deploy AI Camera application to real world.

• Provide real time pipeline on edge device
• E2E pipeline to support model customization
• Cluster on the edge
• Port to specific edge device/chipset
• Voice application (ASR/KWS) end to end pipeline
• ReID model
• Behavior analysis model
• Transformer model
• Contrastive learning
• Click to join sharpai slack channel for commercial support

sudo apt-get install -y libhdf5-dev python3 python3-pip
pip3 install -U pip
sudo pip3 install docker-compose==1.27.4

• Create Telegram Bot through @BotFather
• Set Telegram Token in Configure File
• Send message to the new bot you created