GitHub - luluww/DeepCamera: Protect your privacy, open source AI-powered video surveillance on Android, featuring face recognition, human shape recognition(ReID), etc. The world's first AutoML Deep Learning edge AI platform. No programming exp needed to train a new model for your privacy.

Quick Installation on Android

Install DeepCamera AI monitor on Android. https://github.com/SharpAI/DeepCamera/releases/download/v1.2.1/DeepCamera_03282019.apk
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.

Slack Channel

Click to join sharpai slack channel

What's SharpAI DeepCamera

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.

Data labeling on Mobile, no data scientist involed

Train/deploy model without programming for edge device(Embedded/Android/X86 system)

Mobile first, Production ready, Easy scalable, Power efficient

Feature List

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

Supported/tested 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

Supported Camera

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

Demo

How to develop on SharpAI DeepCamera

You can develop on SharpAI DeepCamera almost on every devices.

Run on Embedded Linux with docker (Rockchip RK3399)

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

Run on X86 Laptop Docker

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

It is even possible to connect Surveilance Camera

Through Shinobi (if you install DeepCamera through Docker)

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)

Through Dahua SDK (if you install DeepCamera on Android)

Code is here

Survey: Do you want to have Dev Kit for easily startup

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

How it works from end user's point of view, green parts are done if using Dev Kit

How to configure on Mobile APP, Chinese Version

Application in English(Beta Test)

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

How to deploy server on your server

Call For Help

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 :)
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