This is a unique repository in many ways. It’s a deep learning model open sourced to protect your privacy. The entire DeepCamera concept is based on automated machine learning (AutoML). So you don’t even need any programming experience to train a new model. DeepCamera will keep porting AI models to provide easy for use Edge AI platform to help developers implement AI production on the edge.

DeepCamera works on AIoT devices such as Raspberry Pi and Android. You can integrate the code with surveillance cameras as well. There’s a LOT you can do with DeepCamera’s code, including:

• Face recognition
• Face Detection
• Control from mobile application
• Object detection
• Motion detection
• Human ReID (Recognition based on human shape)
• Many more AI models will come soon

And a whole host of other things. Building your own AI-powered model has never been this easy!

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 is not working(was using Aliyun), need change to upload to server itself

Then you need to follow Shinobi's document to add camera. or click to see our tutorial

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

You can also turn Mac Camera into RTSP camera(not tested)

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