#制作：“天眼”团队

#2018.7.25

#实验室环境下，四个摄像头置于**处，分别对准实验室的四个角落，在云端抽象好每个摄像头对应的方向。实现识别的同时，能判断出对方的来向与去向。

#欢迎观看我们的项目讲解视频：https://v.youku.com/v_show/id_XMzc0OTA2MjQ1Mg==.html?spm=a2h0j.11185381.listitem_page1.5~A

the “GodEye” field biometric identification system based on aliyun link Develop platform. To know more please turn to watch the readme.txt.

1.Bone-web webApp： We can input ''bone start'' to run the Web in command-window. Welcome to watch ./Bone-web/app/pages/home/index.js.

2.Descending_Control_from_web： Python reads the meassage of JSON files and send them to RaspberryPi by socket protocol.

3.godEyeTest_OpenCamera： Python starts the easy-recognition program on local for testing.

4.linkdevelop-webapp-device: Sending the camera-device message to clouds based on node.js SDk.

5.RaspberryPi _code: Python receives the coordinate of the object which has been recognized and controls several steering engines named Sg90 to track.

6.Recogniton_code: The main program of recognition based on tensorflow_modules through Python.