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

• Raspberry Pi
• X86
• Rockchip RK3399 (Linux, set-up-box H96 Max)
• Rockchip RK3288 (Android, set-up-box)
• Samsung 7420 (Android, Mobile)
• Rockchip RK3399 (Android RockPro64 doc release soon)
• Linux/Android Has OpenCL (TVM Supported)

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

Click to join sharpai slack channel

https://github.com/SharpAI/facebox_sdk

git clone https://github.com/SharpAI/DeepCamera
cd sharpai/docker
docker-compose -f docker-compose-x86.yml up

Then you need to follow Shinobi's document to add camera.
http://ip:8080
Default username/password:
username: user@sharpaibox.com
password: SharpAI2018

coming soon

coming soon

• Documents, A LOT OF DOCUMENTS, we already deploy our deep camera in industry leading company but we don't have extra resource to build up community friendly documents.
• Tutorial on youtube, we can build up some of them, only if with your help, we can success together.
• 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 (need i18n selection based on system language)
• Remove unused code/project in https://github.com/SharpAI/mobile_app_server
• PR, more than welcome, anything :)
• Meetup hosts, in Silicon Valley

git clone https://github.com/SharpAI/mobile_app_server -b android_porting

Copy your pc ~/.ssh/id_rsa.pub to android ~/.ssh/authorized_keys (using ssh to connect android device)

AndroidPorting/Launcher/app/src/main/assets/authorized_keys

pkg install openssh
sshd

ssh -p 8022 username@192.168.x.x

baidu cloud

uploading

scp -P 8022 usr_aarch64_dev_1204_2018.tgz a@192.168.x.x:/data/data/com.termux/files/

cd /data/data/com.termux/files
tar -xvf usr_aarch64_dev_1204_2018.tgz

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

./setup.sh

./setup_arm32.sh

./start_service.sh

Use RTSP Decoder

pip2 download pyinstaller
tar -xjvf PyInstaller-3.4.tar.bz2
cd PyInstaller-3.4
sed -i'' -e 's#"/usr/tmp"#"/data/data/com.termux/files/usr/tmp"#g' bootloader/src/pyi_utils.c
CFLAGS="-I/data/data/com.termux/files/usr/include/libandroid-support" LDFLAGS="-landroid-support" pip2 install .

cd build
bash ./build_aarch64.sh runtime's path

cd [runtime full path]/runtime
bash ./start_aarch64.sh

only 3G data space for Rk3288，need an extra SD card，can be backup to SD card after compiling for more space.

link:https://pan.baidu.com/s/1MjlCUiiUVf0z_ILoZ7y44w password:3rh7

for more space：

pkg uninstall gcc-6 gcc-7 gcc-8

Use sharpai/build/build_arm.sh to Build

link:https://pan.baidu.com/s/1TJzKemhjfk_CWqbxaz7nvw password:b5cg

cd ~
tar -zxvf arch_dev_root.tgz

wget https://sdrausty.github.io/TermuxArch/setupTermuxArch.sh
bash setupTermuxArch.sh

./arch/startarch

Use sharpai/build/build_arm_svc.sh to Build

link:https://pan.baidu.com/s/136d1nVtPfQrrxqCZWjebLA password:5e53

link:https://pan.baidu.com/s/1x71O1npURpMvQCv-jQ4Fwg password:qyex

cd ~
tar -zxvf runtime_all_armv7.tgz

link:https://pan.baidu.com/s/16ta4yC_mp6AOrhMyCs6N0w password:xwdr

cd ~
tar -zxvf runtime_arch_linux_armv7.tgz

wget https://sdrausty.github.io/TermuxArch/setupTermuxArch.sh
bash setupTermuxArch.sh

./arch/startarch c "cd /data/data/com.termux/files/home/runtime_arch/bin && ./classifier "