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. Get source code

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

3. 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: user@sharpaibox.com
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": "xxxx@xxx.xx", "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.

This project contains source code or library dependencies from the follow projects:

• Tensorflow available at: https://github.com/tensorflow/tensorflow Apache License 2.0
• MXNet available at: https://github.com/apache/incubator-mxnet Apache License 2.0
• TVM available at: https://github.com/dmlc/tvm Apache License 2.0
• Shinobi project available at: https://gitlab.com/Shinobi-Systems/Shinobi/ Copyright (c) 2018 Shinobi Systems
• Termux project available at: https://github.com/termux/termux-app GPLv3/Apache License 2.0
• Insightface project available at: https://github.com/deepinsight/insightface MIT License
• Easyrs project available at: https://github.com/silvaren/easyrs MIT License
• Nodejs: https://nodejs.org Copyright Node.js contributors. All rights reserved.
• Python: https://www.python.org Python 2.7 license
• Gcc for termux with fortran scipy etc: https://github.com/its-pointless/gcc_termux
• RembrandtAndroid project available at https://github.com/imgly/RembrandtAndroid
• Great English-writing introduction on analyticsvidhya