Team Rhea

Colombo | Leveraging AI/ML for plastic marine debris

To create a GIS mapping system using AI for detect plastics in the ocean

High-Level Project Summary

To do this, we create a GIS mapping system for calculating marine debris using artificial intelligence.Thus, It is created with the help of the intellect. The program is installed in the operating system of the marine pollutant plastic garbage collection machine we have created. There, the ocean pollutants calculated by this program go to more areas and are collected by the super mechanics of the garbage machine. Details of those mechanisms are given below. When the trash can is full, return the machine to the landfill and recycle it. Go to the locations shown by the program and repeat this process.

Link to Project "Demo"

https://youtu.be/2o3S5Xi0PH8

Link to Final Project

https://drive.google.com/file/d/1ciOI2CiDs6pGnyVMiDOl-HlIO_2e5A5_/view?usp=drivesdk

Detailed Project Description

At least 8 million tons of plastic end up in our oceans every year, and makeup 80% of all marine debris from surface waters to deep-sea sediments. Marine species ingest or are entangled by plastic debris, which causes severe injuries and deaths.

Thus, we created a GIS mapping system using artificial intelligence to calculate the current and new ocean pollution in the ocean.The program thus designed is intended to be installed on the operating system of the marine garbage collection machine we have created. This program can also be used for ocean-related research if required. The GIS mapping system we have created identifies the amount of ocean plastic currently in the ocean and calculates how much of it exists. We hope to update this information and calculations by adding the amount of new ocean plastic added. It can be used to calculate the amount of marine garbage collected per day and the amount of garbage collected. But this pollution cannot be prevented by simply counting the number of plastic marine pollutants in the oceans and new ones. This is because the amount of pollutants we have added to the ocean mentioned above is enormous, even if they are calculated using current technology. Although many ordinary people are aware of the size of ocean plastic, the ocean. The amount of plastic pollutants that accumulate is increasing but not decreasing. So we designed an ocean plastic collection machine to remove polluted plastics without stopping to calculate ocean pollution. As mentioned above, the GIS mapping system we created is installed on this machine.

The system calculates the amount of marine pollution that goes to high places and collects plastic marine pollutants. This machine does not collect micro-plastics and only collects plastics that are visible to the naked eye. Since the removal of plastics from the oceans of the entire planet cannot be done with this one machine alone, such machines collect plastics in places where there is more than 50 marine pollutants. It has been decided to use for and this amount can be increased as required.

Below is the master plan of the garbage collection machine we have designed.

We studied the marine plastic removal machines currently being developed in the world and looked into their shortcomings. Accordingly, we have created a machine that can overcome those shortcomings and create a more successful, very low cost.

Below is the design of the control part of the machine that we created. (Front view / when viewed from above)

We have designed the machine in such a way that the control section here can be operated by one person. This section includes the GIS database and the components needed to run the machine, as well as the computer system on which the entire operating system of the machine is installed. This control section shows the locations of plastic marine pollutants by the GIS Map System, which uses artificial intelligence installed in the computer system.

Below is the design of the debris collecting unit of the machine that we created. ( front view / When viewed from above)

This figure shows the front of the machine, which is guided by two named garbage collectors to a chain of garbage floating in the ocean. The dirt directed to the chain travels along the chain to the processing unit.

Below is the design of the process unit of the machine that we created. ( When viewed from above)

This figure shows the working part of the machine we designed. The equipment referred to as the control part is shown here is the robot arm. These robots have plastic detectors in their hands. There are 3 sensors and the first sensor detects the shaped plastic. The second sensor detects amorphous plastics. The third sensor detects the Rigifoam. The plastic thus identified is taken by the robotic hands and placed in the trash cans. When organic or decomposing garbage arrives, it travels back along the chain and falls into the sea.

Benefits of our GIS Mapping system and the marine debris collecting machine

Between 1.26 and 2.65 million tons (1.15 and 2.41 million tonnes) of plastic enter the ocean from river systems each year. This debris contributes to massive oceanic vortexes of plastic materials, otherwise known as gyres. One study found that the Great Pacific Garbage Patch contains over 87,000 tons of debris(79,000 MT), with this patch collecting.

We can remove the plastic waste coming into the ocean through the rivers mentioned above through the machine. In this way, we can minimize the environmental damage caused by plastic pollution. The g-map system helps to determine the amount of plastic in the ocean and to identify places where plastic is most abundant. Many such machines will have to be used. However, it avoids great environmental damage and reduces the number of animals that die due to marine plastic. All that is left for us to do is to prevent the environmental damage caused by micro-plastics.

GIS Maping System made by using AI for calculate the marine debris

https://ibb.co/3W1nBqH

Space Agency Data

The data provided by SPACE AGENCY have been instrumental in making our expansion a success. Primarily, the topics provided by them helped to select this topic. Furthermore, the programs currently being developed to quantify the marine pollutants required for this project and the number of pollutants they compute further assisted in the implementation of our project.

Hackathon Journey

This competition is the most important competition we face as we prepare for the year. Artificial intelligence is still new to Sri Lanka. But having an idea for this challenge, we studied artificial intelligence. And our focus was specifically on innovation. And our focus was specifically on innovation. It is our hope to further develop this system by learning about the use of artificial intelligence to be able to compute microplastics. In presenting our idea for this challenge, how do we position the relevant equipment in this marine plastic collection device? The problem was that our team did not have the knowledge to create an animated video on how to use artificial intelligence for this. However, we positioned the equipment in a new way and created a GIS mapping system using artificial intelligence. Finally, Mr. who gave us the advice we needed to make this project a success. R.W.D.P. Karunarathne and the architect who designed the design, Mr. W.A.S. Our special thanks to Fernando.