Prototipe Tempat Sampah Cerdas - Tugas Akhir

Summary

This project involves the development of three prototypes of a smart trash can equipped with various sensors, including infrared proximity, capacitive, and inductive sensors, to detect different types of waste. Testing with organic waste like paper, orange peel, and tissue shows that only the infrared sensor is activated. For inorganic waste such as plastic bottles and metal cans, additional sensors like capacitive and inductive are triggered. Once the trash can is 80% full, a notification is sent to a smartphone, and the app's interface is updated accordingly, showing the current status of the trash can.

Takeaways

• 😀 The project involves creating three prototypes of a smart trash bin.
• 😀 The smart trash bin features infrared proximity sensors, capacitive sensors, and inductive proximity sensors for waste detection.
• 😀 The back of the trash bin contains a 12V power supply and a compartment for storing components.
• 😀 The initial test uses paper, which is organic waste, and is detected by the infrared sensor.
• 😀 Orange peel, another form of organic waste, is also detected by the infrared sensor.
• 😀 Tissue, another organic waste, triggers only the infrared sensor during testing.
• 😀 A plastic bottle (inorganic waste) activates both the infrared and capacitive proximity sensors.
• 😀 A metal can (inorganic waste) only activates the infrared sensor during testing.
• 😀 A metal screwdriver triggers all three sensors (infrared, capacitive, and inductive) when tested.
• 😀 A plastic snack wrapper triggers both the infrared and capacitive proximity sensors.
• 😀 When the trash bin reaches 80% capacity, a notification is sent to the user's smartphone.
• 😀 Clicking the notification directs the user to an app page showing the current status of the trash bin.
• 😀 When the trash bin is emptied, the smartphone indicator updates to reflect the change.

Q & A

What is the purpose of the three sensors on the smart trash bin?

The three sensors on the smart trash bin (infrared proximity sensor, capacitive sensor, and inductive proximity sensor) are used to detect the type of waste being disposed of, allowing the bin to classify waste as organic or inorganic.

Where are the sensors located on the trash bin?

The sensors are located on the front of the trash bin to detect the waste, while the power supply and storage components are located at the back.

What is the role of the power supply in the smart trash bin?

The power supply provides the necessary 12-volt power to run the sensors and other electronic components within the trash bin.

What types of waste were tested during the project?

The types of waste tested included paper, orange peel, tissue (organic waste), plastic bottle, metal can, metal screwdriver, and a plastic snack wrapper (inorganic waste).

Which sensor is activated when organic waste, such as paper or orange peel, is detected?

When organic waste such as paper or orange peel is detected, only the infrared sensor is activated.

Which sensors are activated when inorganic waste, such as a plastic bottle or metal can, is detected?

For inorganic waste like a plastic bottle or metal can, the infrared sensor and the capacitive proximity sensor are activated.

How does the smart trash bin handle waste classification?

The smart trash bin uses its sensors to detect the type of waste, classifying it into organic or inorganic categories based on sensor activation patterns.

What happens when the trash bin is 80% full?

When the trash bin is 80% full, a notification is sent to the user's smartphone to inform them of the bin's status.

What occurs when the notification on the smartphone is clicked?

When the notification on the smartphone is clicked, it redirects the user to a page on the app that provides more information.

How does the smartphone app interact with the trash bin's status?

The smartphone app interacts with the trash bin by showing updates on the bin's status, such as when the bin is lifted or when the indicator changes, reflecting the current fill level and sensor activity.