Team ShockWave

https://youtu.be/HCNyC4Eg1DM

https://github.com/TeamShockwave-VitaminSea/Vitamin-Sea.git

Problems/Issues :

So, the problem is the plastics which are thrown by tourists in the sea beach. This robot is necessary for solving the problem, because it has the ability to increase the interest in keeping trash to the robot. There are many dustbins near the beach side but anyone l. haven’t much interest to walk for keeping the trashes. The improvement might be like Vitamin Sea , which can collect the trashes from the travelers autonomously! Besides this people are not aware of plastic pollution. That’s why our new generation is also not aware of saving the earth from plastic pollution.

Vitamin Sea As a Solution:

When the robots get activated it will search and detect those peoples who have trash on their hand using AI. After that, If the robot detects trash in someone's hand, it will go near the visitor by measuring distance using AI and it will ask “Hello there, do you have something to trash? if you have then give it to me, I will give you a surprise gift in exchange of it. If the traveler shows the trash to the robot, it will take it from the visitor and will give him a candy as a gift. After this it will play a short video on it’s screen about the plastic pollution and the benefits of keeping trash into a certain place. By doing this the robot saves the sea from the plastics and also inspires people to keep trash into a certain place. Another hand if it finds any plastics or trash falling on the beach side, it will detect and will go near the trash to collect autonomously.

Workflow:

Our project is supported by two microcontrollers. One is a raspberry pi and the other is an Arduino. We have used the Android based operating system Lineage for Raspberry Pi. We have used the HC-05 Bluetooth module to connect with Arduino via bluetooth. We have developed an app for image processing. When the camera detects a bottle or any trash, our application will send data to Arduino. Then arduino will process the data and open the bottle entry chamber. There’s an IR sensor inside the chamber. On the other hand, it will send a signal to Arduino to make sure the bottle has entered properly. After this, it sends data to the candy station. The data will be sent to Raspberry Pi via Bluetooth. After this, it will play a short animation based on the impacts of plastic pollution on the display. Besides this, if it finds any trash falling in the ground by scanning autonomously using image processing, it will go near the trash by measuring distance. The whole system is based on Artificial Intelligence.

Innovative Direction :

There’s some dustbin near the sea beach but they aren’t autonomous like Vitamin Sea. Other hand, everyone is interested in technology, for being an intelligent dustbin, it increases the interest of people. Another biggest difference between Vitamin Sea and the current solution is when the visitor keeps the dust to the robot it will give a surprise gift. Besides this, no one discusses the bad effects of plastic pollution. But it plays a short animation about this, so that our new generation can get aware of plastic pollution.

Motive and Goal:

Our main goal is to make a plastic pollution free generation. We think, providing candy as a gift in exchange of trash is enough to increase interest to keep trash into a certain dustbin. Beside this, after collecting the trash from travelers, it will show a short video on it’s screen about the plastic pollution, how to get rid of this challenge and how to be a part of making a pollution free environment. The process is specially designed for children to make them aware about not to throw trash here and there.

Tools we have used:

Hardware:

• Raspberry Pi 3b+ x1
• Arduino Mega x1
• USB Camera x1
• PIR sensor x1
• IR Sensor x1
• Servo 9g x5
• LCD 20x4 x1
• I2C LCD Driver x1
• Raspberry pi 5 inch HDMI Display x1
• HDMI 1.5 Meter Cable x1
• 5v Audio Driver x1
• 5v Mice x1
• 7805 Voltage Regulator IC x1
• 7809 Voltage Regulator IC x1
• 3s BMS 12v IC x1
• Lipo Battery 3.7v x6
• HC05 Bluetooth Module x1
• L298n Motor Driver x1
• Rubber Wheel x4
• Gear Motor x4

Software: 

• Lineage OS (Raspberry Pi Operating System).
• TFLite task library for image processing (‘org.tensorflow:tensorflow-lite-task-vision:0.2.0’)
• Android studio for developing the application.
• Tflite Model Maker was used to train the image classification model.
• Arduino IDE

To work with this problem, we have used EPA's data about toxicological threats of plastics. According to their data it shows that plastics are the most harmful debris for water and environment. Those data helped us a lot to find out the main reasons for solving the challenge.

There were several phases in the project and without experienced team members it was not possible to execute the challenges . The whole project depends on the success in different fields. We managed to find team members according to the project requirements. Sayedul Mostain Taranga was the team leader and hardware engineer, Shoaib Mahmud - head of programming section, Abu Talha - app developer, Sayma Arefin - project manager and Sayedul Mottakin - designer. Besides this Our honorable mentor Zubayer Al Billal Khan and Mohammad Mahdee Uz Zaman sir guided us a lot to build up the project nicely. Overall, it was a great experience to participate in the hackathon.

• Toxicological Threats of Plastic | EPA : https://www.epa.gov/trash-free-waters/toxicological-threats-plast
• Ocean | NASA Earthdata : https://earthdata.nasa.gov/learn/discipline/ocean

#AI, #ML, #EPA, #NASA, #Ocean, #Plastic

This project has been submitted for consideration during the Judging process.