树莓派 B+ Yeelink实现图像监控

数值传感器请参考： http://blog.csdn.net/xiabodan/article/details/39084877

1 安装摄像头

首先需要一个网络摄像头，免驱，插上我们可以在查看是否有/dev/video0 ，

root@raspberrypi:/workplace# ls -l /dev/video0
crw-rw---T+ 1 root video 81, 0 Sep 6 03:37 /dev/video0

安装摄像头抓图软件

sudo apt-get install fswebcam

2 安装opencv

      apt-get update
      apt-get install libopencv-dev   python-opencv

在 python下测试 import cv 看能否成功

3 向YEELINK POST 单幅图片

http_post.py

def http_picture(url_api_key, pic):
    """
    POST a message to yeelink
    example:
    url_api=("http://api.yeelink.net/v1.0/device/13985/sensor/23188/datapoints","d288d8257ffa56286cbd251610958aab")
    pic =
    http_post(url_api,pic
    """
    apiurl = url_api_key[0]
    apiheaders = {'U-ApiKey': url_api_key[1], 'content-type': 'application/json'}
    try:
        r = requests.post(apiurl, headers=apiheaders, data=pic)
    except:
        pass
    return None

4 captrue image -- 基于opencv（不是python测试用）

int main( int argc, char** argv )
{
        printf("I am start 
");
        VideoCapture cap(0); // open the default camera
        if(!cap.isOpened())  // check if we succeeded
                return -1;

        printf("11111%f, %f
",cap.get(CV_CAP_PROP_FRAME_WIDTH),cap.get(CV_CAP_PROP_FRAME_HEIGHT));
        cap.set(CV_CAP_PROP_FRAME_WIDTH, 640);
        cap.set(CV_CAP_PROP_FRAME_HEIGHT, 480);
        cap.set(CV_CAP_PROP_FPS, 15);
        printf("22222%f, %f
",cap.get(CV_CAP_PROP_FRAME_WIDTH),cap.get(CV_CAP_PROP_FRAME_HEIGHT));
        Mat src_gray;
//      cvNamedWindow( "video", CV_WINDOW_AUTOSIZE );
//      while(1)
        {
                Mat frame;
                cvWaitKey(50);
                cap >> frame;
                printf("begin save pic
");
                imwrite("原图.jpg", frame);
                printf("Save Image Successful
");
                //imshow("video", frame);
        }
        return 0;
}

5 python下抓取图片POST到YEELINK

参考

树莓派玩家5分钟内将树莓派-USB摄像头与Yeelink连接–最好玩的网页监控器： http://blog.yeelink.net/?p=468

树莓派+Yeelink实现图像监控：http://stayrunning.blog.163.com/blog/static/1967580022013222105948256/

红外感应模块+蜂鸣器实现简易报警： http://shumeipai.nxez.com/2014/08/31/infrared-sensor-module-and-buzzer-alarm-achieve.html

Ubuntu下Opencv与Python的协作：http://pinkyjie.com/2010/10/19/ubuntu-opencv-python/