1、开启树莓派的摄像头功能
sudo raspi-config
重启
2、安装相关软件
sudo apt-get install luvcview
sudo apt-get install python-opencv python-scipy python-numpy python-pip
sudo pip install https://github.com/ingenuitas/SimpleCV/zipball/master
3、测试SimpleCV库
python
Python 2.7.3 (default, Mar 18 2014, 05:13:23)
[GCC 4.6.3] on linux2
Type “help”, “copyright”, “credits” or “license” for more information.
>>>import SimpleCV
>>>
4、用摄像头保存一张图片
from SimpleCV import Camera,Display
from time import sleepmyCamera = Camera(prop_set={“width”:320,”height”:240})
frame = myCamera.getImage()
frame.save(“camera-output.jpg”)
5、人脸检测
from SimpleCV import Camera,Display
from time import sleepmyCamera = Camera(prop_set={“width”:320,”height”:240})
myDisplay = Display(resolution=(320,240))
while not myDisplay.isDone():
frame = myCamera.getImage()
faces = frame.findHaarFeatures(‘face’)
if faces:
for face in faces:
print “Face at: “ + str(face.coordinates())
else:
print “No faces detected.”
frame.save(myDisplay)
sleep(.1)
6、监控
1、安装抓图软件sudo apt-get install fswebcam
2、Yeelink注册，并添加设备和传感器。（不交钱是公开的）
3、linux新建脚本
sudo fswebcam -d /dev/video0 -r 320x240 –bottom-banner –title “RaspberryPi @ Yeelink” –no-timestamp /home/pi/yeelink.jpg
curl –request POST –data-binary @”/home/pi/yeelink.jpg” –header “U-ApiKey:***********************“ http://api.yeelink.net/v1.0/device/\*\*\*\*\*/sensor/\*\*\*\*\*/photos
u-apikey：在yeelink的用户的账户这里找
后面的地址在传感器这里找
4、加入到crontab
crontab -e
*/1 * * * * /home/pi/yeelink.sh
