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About Autonomous Trash Collector Based On Object Detection Using Deep Neural Network
This document describes a proposed autonomous trash collector robot that uses object detection with a deep learning neural network. The robot would use an ultrasonic sensor to detect objects, then take photos with a camera to classify as trash or not trash using a trained CNN model on a Raspberry Pi. If classified as trash, the robot's arm servo would move to pick up the item and deposit it in the attached trash container before continuing on its route. The system aims to provide an affordable, effective way to automatically collect litter.
Detailed Information
| Author: | ['Anthony Huho'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 5 |
| Language: | English |
| Format: | |
| Price: | FREE |
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