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.

Please install 32bit system (official raspbian)

Now you need to enable camera support using the raspi-config program you will have used when you first set up your Raspberry Pi. Use the cursor keys to select and open Interfacing Options, and then select Camera and follow the prompt to enable the camera. https://www.raspberrypi.org/documentation/configuration/camera.md

Reference: Installing Docker and Docker Compose on the Raspberry Pi in 5 Simple Steps

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

edit configuration on Pi, change following environment variables to PC/Server/Cloud ip address:

AWS_END_POINT='<Server_IP>'
AWS_BUCKET=faces
AWS_READABLE_PREFIX='http://<Server_IP>:9000/faces/'

MQTT_BROKER_ADDRESS=<Server_IP>
API_SERVER_ADDRESS=<Server_IP>

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

To train face recogniton model, you need to tell AI the pictures belongs to whom AKA label dataset.
Most used method is save pictures into different folders, then train them. It will cost so much time.
SharpAI leverages AutoML to label/train/deploy face recognition model. SharpAI web/mobile GUI show
detected faces, user can label the face picture(Name Unknown) on it, when server receives labelling data,
it sends to device, then device will train face recognition model on edge device. When there's good model
trained on device, the device will send recognition result to server to show result on web/mobile GUI.

cat docker/workaipython/ro_serialno 
82f28703d001

82f28703d001 is device ID.

Access http://165.232.62.29:3000/

cat docker/workaipython/ro_serialno 
82f28703d001

82f28703d001 is device ID.
Generate QRCode of device ID

If you don't have camera module for raspberry pi for now,
you can order one or connect to your home surveillance camera
when you know the ip and password of it.

Access to raspberry pi's 8080 port. http://device_ip:8080
Default username and password is:
username: [email protected]
password: SharpAI2018

This is open source NVR project Shinobi video.
It supports thousands kinds of surveillance camera,
if you are confident with DIY your own NVR server,
you can checkout following guide:

If you don't like the GUI or you want to develop your own application.
You can use following API:

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 -H "Content-type: application/json" http://localhost:3000/api/v1/login/ -d '{"username": "test11", "email": "[email protected]", "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.

Now, you got the idea of DeepCamera,
the public testing server is open to the internet.
You can deploy your own API server on your OWN device.

git clone https://github.com/SharpAI/DeepCamera
cd DeepCamera
./start-cloud.sh start

You need ip address of private cloud server on next step (replace ip address to <Server_IP> on next step).
If you don't want to setup your own server for now, a test server can be used for evaluation, the ip address of test server is 165.232.62.29

Click to join sharpai slack channel

• 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)