Demo

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Introduction

We are one group students at the University of Glasgow. This project is the course design of our real-time embedded system. In this course, we are the team 21. We find that when pets-owners leave home for a long time, feeding pets is a big problem. So we decide to make one automatic pet feeder to help that people to feed their pets when they are busy. Basically, using raspberry PI to make an automatic feeder, real-time monitoring of pet movement and food weight. Realize intelligent feeding, protect the health of pets.

Equipment

• Raspberry Pi 3B+
• Ultrasonic sensor (HC-SR04)
• Weight sensor (HX711)
• Step motor (28BYJ-48)
• Paperboard
• Large plastic bottle
• Bowl

Circuit Diagram

Object

• Ultrasonic sensors detect the distance from the pet, and the feeder starts working when the pet approaches.

• The weight sensor detects the weight of the food in the bowl. When the weight of food < 10g, starts the motor to make the baffle turn to replenish food. When the weight of food > 50g, the motor rotates backward.

• Limiting conditions:
  1.There will be a 4h cooldown time after feeding is first turned on.
  2.The machine can only add the food for three times within 24 hours.

Get Started

This is an example of how to list things you need to use the software and how to install them.

• Git

  sudo apt-get update && upgrade

  sudo apt-get install git-core
  

• Cmake

  sudo apt-get install cmake 

• wiringPi

  git clone https://github.com/WiringPi/WiringPi

  cd WiringPi
  

  sudo ./build
  

• Clone the project

  git clone https://github.com/Shujing106/AutoPetFeeder.git

• Navigate to the project folder

  cd AutoPetFeeder/codes/src

  mkdir build
  

  cd build
  

• Link the required files and libraries using CMake

  cmake ..

• Build the CMake project

  make

• Run application

  ./AutoPetFeeder

Version Control

check the repository to see the avilabe version

License

MIT license

Acknowledgement

• Cmake

• README templete

• Thread

• C++

Contact us

• Peihan Song https://github.com/PeihanSong
• Yifei Wang https://github.com/Yifei0Wang
• Shujing Yan https://github.com/Shujing106
• Xudong Fu https://github.com/Fuxudong123
• Project Link: http://github.com/Shujing106/AutoPetFeeder
• Youtube Link: https://www.youtube.com/channel/UCd4SohKJhAdILFnYUXcsUTw
• Instagram Link: https://www.instagram.com/tv/CciDeC0DURO/?igshid=YmMyMTA2M2Y=