Smart Trash collector
AI-Based smart trash collector proposes an autonomous robot machine. It will identify trash, pick up the trash and throw it into the Mounted bin, by trained dataset using deep neural network (e.g., RCNN, Yolo, approaches. We employ convolutional neural network RCNN for recognition and locating
2025-06-28 16:29:25 - Adil Khan
Smart Trash collector
Project Area of Specialization Artificial IntelligenceProject SummaryAI-Based smart trash collector proposes an autonomous robot machine. It will identify trash, pick up the trash and throw it into the Mounted bin, by trained dataset using deep neural network (e.g., RCNN, Yolo, approaches. We employ convolutional neural network RCNN for recognition and locating the garbage in image capture by Pi-Cam equipped on the robot, moreover, this is useful for obstacle avoidance. Our Robot machine is freely to move, no line follow techniques, no need for human control. AI-Based smart trash collector proposes an autonomous robot machine. It will identify trash, pick up the trash and throw it into the Mounted bin, by trained dataset using deep neural network (e.g., RCNN, Yolo, approaches. We employ convolutional neural network RCNN for recognition and locating the garbage in image capture by Pi-Cam equipped on the robot, moreover, this is useful for obstacle avoidance. Our Robot machine is freely to move, no line follow techniques, no need for human control.
Project Objectives1.The objective of the project is to achieved to some extent. The garbage collected efficiently and effectively. The robot moves in a constant speed. The garbage gets detected when it is in 2cm to 400cm. This project is still in progress to achieve the optimized results with few more modifications.
2.To reduce the requirements of manual clearance of different waste.
3.Also to fulfil the task of collecting garbage from ground.
Project Implementation Method
1.It help to reduce human effort or time.
2.This prototype is Low weight and Portable.
3.This prototype robot machine has an ultrasonic sensor for controlling its direction.
4.The robot's hardware and methods, including hardware and software, are inexpensive and will readily available in the market.
Technical Details of Final Deliverable

| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 60000 | |||
| rasaberry-pi and Online Mateiral | Equipment | 1 | 35000 | 35000 |
| Robot machine and other material | Equipment | 1 | 25000 | 25000 |