Introduction: Trash Is Never Thrown Away.
Our team started a project called "Trash is never thrown away." with the litter problem of KARTS. The various causes of the school create large amounts of garbage and are offended by the reckless dumping. To solve this problem, at first we focused on the problem of removing garbage.
But trash is easily removed and gone. Our team was noted the problem was that people felt uncomfortable without the awareness of waste generation and problem solving. Is it going to be thrown away when the trash disappears in front?
Trash is not discarded, it's just moving.
The purpose of this project is to recognize that waste doesn't go away and that it can eventually circulate and come back to us. The waste is dumped indiscriminately, and the students are carefully disposed of in the context of the project, reducing waste and encouraging awareness.
When a certain amount of garbage is piled up on a waste board with a weight sensor installed, the camera captures the garbage and shows video related to the circulation of the garbage.
They're reminded that a lot of people, including themselves, are recklessly throwing away garbage, looking at garbage images that are constantly circulating in different environments that start with dumping, and that garbage comes back to us in the end.
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Step 1: Meterials
1) Frame : Formax board
2) hardware : Aduino (+ load cell, ultrasonic sensor), RASPBERRY-PI 3 Model B +, Beam projector
3) software : processing
Step 2: Process
1) Frame : Make a box with a diamond-shaped pedestal inside. Place the two flat plates on top and attach the load cell. To remove a background with a chroma key, add a plate of the same color to the back of the frame.
Step 1 [Aduino] Connect the load cell.
Step 2 [Aduino] Connect the Ultrasonic Sensor.
(Use Steps 1 + 2 to detect trash disposal and check the trash dump conditions.)
Step 3 [Aduino-Raspberry Pi] Send a measured source to the Bluetooth module.
Step 4 [Raspberry Pi] Receive a signal with the Bluetooth and capture the picture with your camera.
Step 5 [Raspberry Pi + Processing] Removes the green from the image through the processing code. (Croma key)
Step 6 [Raspberry Pi + Beam Projector] The removed background trash is sent to the beam projector and inserted into the pre-built image.
7 step result.
Step 3: Code
Processing code running in Rasberry Pi
Step 4: Test
We tested it to be captured if weight was detected (load cell test)
Step 5: Final Installation
In the research process, we installed the most garbage in front of the fourth floor of media building, Karts.
These are the installation photos and the actual trash collection.