1. Install DeepCamera AI monitor on Android. https://github.com/SharpAI/DeepCamera/releases/download/v1.2.1/DeepCamera_03282019.apk
2. Install mobile app to receive notification, name/labelling people(Beta test)
   Android: https://github.com/SharpAI/DeepCamera/releases/download/v1.2.1/sharpai-2.2.67-20190122181044.apk
   iOS: https://testflight.apple.com/join/8LXGgu3q

To speed up the evaluation of DeepCamera platform, SharpAI Dev Team developed an Application to use Android Camera instead of surveillance camera, remove hardware dependency will speed up the evaluation procedure for developers.

There would be some issues caused by Camera quality on the device, it always has better result if replace Android camera to surveillance camera but still, our Android AI camera is state-of-the-art production leveraging AutoML for Edge devices.

Click to join sharpai slack channel

Deep Learning video processing surveillance on ARM GPU for face recognition and much more on the way. Turn digital camera into AI-powered camera. Production level platform for edge AI using ARM GPU/NPU, leveraging AutoML. The first world-class Edge AI full stack platform for developer/kids/home/SMB/enterprise/cloud, baking by community.

Full stack system for the deep learning edge computing devices, espeicailly set-up-box off the shell with image burning or Android apk installation.

• 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

• MediaTek MTK6797 (Android, Mobile/Tablet)
• Huawei Kirin 960/970/980 （Android, Mobile/Tablet)
• Samsung 7420 (Android, Mobile)
• Raspberry Pi
• X86 (Linux/Ubuntu, Mac OS X, Windows(not tested) through Docker)
• Rockchip RK3399 (Linux, set-up-box H96 Max)
• Rockchip RK3399 (Android, RockPro64)
• Rockchip RK3288 (Android, set-up-box)
• ARM 64bit devices

• Dahua Camera
• Hikvision Camera
• Shinobi CCTV Supported Devices
• Screen Captured from Android Camera preview application

You can develop on SharpAI DeepCamera almost on every devices.

git clone https://github.com/SharpAI/DeepCamera
cd DeepCamera/docker  
sudo ./run-deepeye-prebuilt.sh start

git clone https://github.com/SharpAI/DeepCamera -b pc_version
cd DeepCamera/docker
sudo ./run-deepeye-x86.sh start #make sure Serial No is in docker/workaipython/ro_serialno

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

Shinobi login page(device_ip:8080):
username: user@sharpaibox.com
password: SharpAI2018

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

Code is here

We are considering to provide full set of development kit to easy the setup effort you may face to. Please thumb up if you want one

Android: https://www.pgyer.com/app/install/0e87e08c72a232e8f39a6a7c76222038
iOS: https://testflight.apple.com/join/8LXGgu3q

• Translation, we did deploy our production in China, much of our resource is in Chinese, need your help to translate, especially the Mobile APP built with Meteor https://github.com/SharpAI/mobile_app_server (English_Version)
• Remove unused code/project in https://github.com/SharpAI/mobile_app_server
• PR, more than welcome, anything :)
• Meetup hosts, in Silicon Valley

Click to see APIs document

Click for user guide

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