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AI Powered Automatic Pothole Detection and Filling System for Smart Road Maintenance

Category: Raspberry Pi Projects

Price: ₹ 21000 ₹ 30000 30% OFF

This project focuses on detecting road condition defects, particularly potholes, using an ultrasonic sensor and a Pi camera. The system integrates GPS to pinpoint pothole locations and utilizes the Blynk platform to send real-time notifications. A robot, controlled via Blynk, autonomously navigates the road, identifies potholes, and deploys a servo motor to open and close a container filled with material to repair them. By leveraging IoT technology, this solution enhances road maintenance efficiency, reduces manual labor, and improves driving safety through timely detection and automated pothole filling.

block-diagram

• Demo Video
• Complete project
• Full project report
• Source code
• Complete project support by online
• Life time access
• Execution Guidelines
• Immediate (Download)

Software Requirements:
• Python
• Thonny IDE
• Blynk App

Hardware Components:
• Raspberry Pi
• Motor Driver
• DC motors
• IR sensor
• Ultrasonic sensor
• 12v Battery
• Pi camera

Immediate Download:
1. Synopsis
2. Rough Report
3. Software code
4. Technical support

Hardware Kit Delivery:
1. Hardware kit will deliver 4-10 working days (based on state and city)
2. Packing and shipping changes applicable (based on kit size, state ,city)

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