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1 Idea of Smart DoorBell

There are door bell for visitors to press.

But no need for smart door bell, if visitor approaches , the camera knows someone is coming and trigger door bell or SMS to mobile if you are not at home.

Simple idea but not one easy-to-go task.

 

2 Hardware and software

Thanks for Element14 for the Raspberry Pi HQ camera Kits. With everything needed.

The raspberry Pi 4B, one HQ camera and HQ lens.

I would like to build the codes on RaspberryPi with VIM only.

That is good enough with latest Raspbian OS buster.

 

 

3  First Demo

Connect the Camera and Enable the camera in raspi-config,

SSH and VNC is enable as well for me to build with SSH without the keyboard and screen. In the end, there would be not screen for the door bell.

 

 

4  Lens Sets

Here is the lens I have prepared for this project. I need adapter to fit for C-socket. It takes some time to find right adapter, I think it work from Aliexpress.

I shall try Paddlelite from Baidu, enclosed all AI function with API open to dummy like me.

But it takes more time in build the lib

 

5 Play with AI engine

There are full instruction in github for https://github.com/paddlepaddle/paddle

/*** I would like to go on with lens sets test and AI human detection in next blog. ***/

5.1 Install PaddlePaddle may be new to most of us, but it worth trying. Since it has made many API for dummies like me, especially  Paddlehub , change face with AI in a couple of lines in python. Refer to github for more information,

https://github.com/paddlepaddle/paddle ,

Use Lite version of paddlelite in Rasperberrypi as follows,

sudo apt install patchelf

sudo apt-get update

sudo apt-get install -y

gcc g++ make wget python unzip patchelf python-dev

Then,

git clone https://gitee.com/paddlepaddle/paddle-lite.git

cd paddle-lite

git checkout release/v2.8

sudo ./lite/tools/build_linux.sh --arch=armv7hf --with_python=ON --python_version=3.7 --with_cv=ON

It there are erros, mke build thread into 1 take longer time, but it works

export LITE_BUILD_THREADS=1

 

Then install  with pip

pip install paddlelite-28605ee8c-cp27-cp27mu-linux_armv7l.whl

 pip install paddlelite-28605ee8c-cp27-cp27mu-linux_armv7l.whl

5.2 Run paddlelite-demo

git clone https://github.com/PaddlePaddle/Paddle-Lite-Demo

cd Paddle-Lite-Demo/PaddleLite-armlinux-demo

./download_models_and_libs.sh

 

cd Paddle-Lite-Demo/PaddleLite-armlinux-demo/image_classification_demo

Use armv7hr instead of TARGET_ARCH_ABI=armv8, since the Raspbian OS is not for armv8 now. then test the demo.

sudo ./run.sh

 

5.3 Install OpenCV

Install needed libs

sudo apt-get install libjpeg-dev
sudo apt-get install libatlas-base-dev
sudo apt-get install libjpeg-dev
sudo apt-get install libtiff5-dev
sudo apt-get install libpng12-dev
sudo apt-get install libqtgui4 libqt4-test
sudo apt-get install libjasper-dev

Install openCV

sudo pip install opencv-python
or
pip install --upgrade opencv-python

 

5.4 Test camera

Try still image with

raspistill -o test.jpg 

Try video with

raspivid -o test.h264 -t 25000 -timed 2500,5000

or with video stream on port 8090, use VLC to open http://ip:8090 for video stream

raspivid -t 0 -w 1280 -h 720 -fps 20 -o - | nc -k -l 8090

That is OK with the camera, but only blur picture, need to adjust the focus and aperture. That is really interesting.