AI Powered Automatic Pothole Detection and Filling System for Smart Road Maintenance
Objective
The objective of AI-Powered Automatic Pothole Detection and Filling System for Smart Road Maintenance is to develop an intelligent system that detects potholes in real-time using AI and automates the filling process. This ensures safer roads, reduces maintenance costs, and enhances transportation efficiency
Abstract
This project presents an AI-powered automatic pothole detection and filling system using Raspberry Pi and a web camera mounted on a robotic chassis. The system detects potholes in real time using image processing techniques and autonomously moves to the location to fill them using a DC water pump mechanism with tar. It also sends the pothole location via email to higher authorities for maintenance action. The proposed system provides a low-cost, automated, and intelligent solution for improving road safety and enabling smart road maintenance.
Keywords: Raspberry Pi, Pothole Detection, Smart Roads, IoT, Robotic System.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
Hardware components:
- Raspberry pi
- Dc Motor
- Motor Driver
- Robot chassis
- Dummy Shaft
- Ultrasonic Sensor
- Usb Webcamera
- Dc Water Pump
- GPS Sensor
- Relay
- Connectors-10.
Software requirements:
- Raspbian OS
- Python IDLE
Learning Outcomes
- Raspberry pi pin diagram and architecture
- How to install Raspberrypi / setup software
- Setting up and installation procedure for Raspberrypi
- Introduction to Raspberrypi environment / development setup
- Basic programming in Raspberrypi (Python)
- Basics of Embedded programming using Raspberrypi
- Basics of IoT platforms
- Working of power supply
- About Project Development Life Cycle:
- Planning and Requirement Gathering (software, tools, hardware components, etc.)
- Schematic preparation
- Code development and debugging
- Hardware development and debugging
- Development of the project and output testing
- Practical exposure to:
- Hardware and software tools
- Solution providing for real-time problems
- Working with team/individual
- Work on creative ideas
- Skills developed:
- Project development skills
- Problem analyzing skills
- Problem solving skills
- Creativity and imaginative skills
- Programming skills
- Deployment
- Testing skills
- Debugging skills
- Project presentation skills
- Thesis writing skills
Paper Publishing
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Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
