SharpAI is open source stack for machine learning engineering with private deployment and AutoML for edge computing. DeepCamera is application of SharpAI designed for connect computer vision model to surveillance camera. Developers can run same code on Raspberry Pi/Android/PC/AWS to boost your AI production development.

• High accurate Face Recognition
• Face Detection
• Inference on ARM Mali GPU
• Support Android TF Lite(GPU/CPU/NPU)
• Support open source embedded linux
• Control from mobile application
• Management System for devices
• Push Notification to Mobile Device
• Object Detection
• Distributed System based on celery
• Plugin to process video by Shinobi CCTV
• Application on Android to decode video with hw acc
• Motion Detection with Android GPU
• Lable and train from Mobile to Edge Device
• Native raspberry pi camera support
• Labelling server and application is down, need BYOD document API server repo
• Image upload to AWS or on premise AWS compatiable server(MINIO)

Click to join sharpai slack channel

1. Install Docker

sudo curl -sSL https://get.docker.com | sh

2. Install Docker-compose

sudo curl -L "https://github.com/docker/compose/releases/download/1.27.4/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose
sudo chmod +x /usr/local/bin/docker-compose

3. Get source code

git clone https://github.com/SharpAI/DeepCamera

4. Start container

cd DeepCamera/
./run-on-linux.sh start

1. Install Docker Install Docker Desktop on Mac(Offical)
2. Get source code

git clone https://github.com/SharpAI/DeepCamera

3. Start container

cd DeepCamera/
./run-on-mac.sh start

Shinobi login page(device_ip:8080):
username: [email protected]
password: SharpAI2018

Change IP configuration and camera url on the page. Detail information
If you are using other camera support streaming, please check The Shinobi NVR's document Supported Devices

cat docker/workaipython/ro_serialno 
82f28703d001

82f28703d001 is device ID

REST API:

curl -X POST -H "Content-type: application/json" http://localhost:3000/api/v1/sign-up -d '{"username": "test11", "email": "[email protected]", "password": "xxxxxx"}'

Response:

{
  "success": true
}

REST API:

curl -X POST http://localhost:3000/api/v1/login/ -d "username=testuser&password=123456"

Response:

{
  "status": "success",
  "data": {
    "authToken": "t6QsPaU3VdbfUQMkNIf6I3MDtox29WLrPJRAKkOCfpc",
    "userId": "tiK8RYG87sGJAErdB"
  }
}

Rest API:

Fill in X-Auth-Token and X-User-Id in previous response.

curl -X POST -H "X-Auth-Token: t6QsPaU3VdbfUQMkNIf6I3MDtox29WLrPJRAKkOCfpc" -H "X-User-Id: tiK8RYG87sGJAErdB" http://localhost:3000/api/v1/groups -d "name=group01"

Response:

{
  "groupId": "e309ff8c7a3a8ceb4011e86e"
}

REST API: Replace X-Auth-Token and X-User-Id. Replace group id in requesting URL: http://localhost:3000/api/v1/groups/`e309ff8c7a3a8ceb4011e86e`/devices

curl -X POST -H "X-Auth-Token: t6QsPaU3VdbfUQMkNIf6I3MDtox29WLrPJRAKkOCfpc" -H "X-User-Id: tiK8RYG87sGJAErdB" -H "Content-type: application/json" http://localhost:3000/api/v1/groups/e309ff8c7a3a8ceb4011e86e/devices -d '{"uuid": "82f28703d001", "deviceName": "testDevice", "name":"testdevice","type": "inout"}'

Response:

{
  "success": true
}

Then restart DeepCamera service.