aghosh0605 / Coconut_Cutter-RUDRA

Automated Robotic Coconut Harvestor(ARCH) is a robot that can cut coconuts without any need of human to climb the tree.

Coconut_Cutter-RUDRA

A trend going in South of India for making coconut cutter robot as it's difficult now a days to find a man to cut coconuts and in South there is too much coconut trees everywhere. So after our 1 months of hard work we finally did the prototype of the robot.

Beaware of this

• Used Raspberry Pi4, Arduino to do the project.
• Tested On RPi4. Please connect Arduino with RPi before running the code.
• Don't change any file and folder name and dicrectories structure.
• Put all the files in Pi and run the python file named codings/flask_app.py with python3.
• Don't change Pi Camera ip address in codings/index.html
• You can change the flask webserver port also for hosting in codings/flask_app.py

If you have all the components then follow How to run :) otherwise go with Docker Container at docker_test Folder Documentation.

How to run :)

1. Pi setup

   • Install Motion camera and edit the configuration by sudo nano /etc/motion/motion.conf to get the camera feeds in webpage.
   • Install pyserial for serial cmmunication between Pi and Arduino. We are using USB(UART protocol) for communication.
   • Install Flask with Pip pip3 install flask
   • Install GPIO with pip pip3 install gpio
   • Go inside coding folder. We will be doing all here.
   • Serial folder contains Arduino code to upload in Arduino for serial Communication.
   • Keep the HTML file in templates otherwise you will get an error.
   • If you change HTML page name, be sure to change it also in python code also.
   • For further webpage development with different CSS, javascript, HTML file in flask see this
   • Sometimes you need to manually kill the process with CLI. Use this command sudo kill -9 $(sudo lsof -t -i:8888). Change the port according to your wish. Mine is 8888.

2. Arduino Setup

   • Upload the Arduino code.
   • Connect the Arduino with Pi by USB

3. Run the python file by python3 codings/flask_app.py. Now, open the webpage with ip address and port number of Pi from any device within the Network and enjoy.

docker_test Folder Documentation

This folder is created for those who has a compute module with GPIO Pins but don't have a Arduino or any microcontrollers or the real code under the coding folder isn't working.

Inside the docker_test folder run the commands. docker_flask:v1 is the name of the image I choosed. You can choose anything.

• sudo docker build -t docker_flask:v1 . Build the docker image
• sudo docker images Check if the docker image was created successfully
• sudo docker run --privileged -p 8888:8888 docker_flask:v1 Publish a container's port(s) to the host. For an example command it would be docker run -p [HOST]:[CONTAINER]
• sudo docker container ls Shows running docker containers
• sudo docker stop <container id> Stops the container that has the id. Find the container id with previous command.
• sudo docker rmi --force docker_flask:v1 Force removes the docker image

Modules Used

• Flask
• GPIO
• JQuery
• Docker

Skills Used

• HTML5
• CSS Flex
• Javascript
• Python
• Arduino Language
• Network Basics

Our team

1. Guides

   • Antariksh Bhaiya
   • Mayur Bhaiya
   • Lokesh Bhaiya

2. Team members

   • Mechanical:
     • Ayan
     • Sumit
   • Corporate:
     • Soumyadeep
     • Rahul
   • Electronics:
     • Aditya
     • Ashwin
   • Coding:
     • Aniruddha