An Embedded system-based project is proposed to identify potholes using some of the Machine Learning techniques. The project will be able to detect potholes using images captured by the camera connected to the Raspberry Pi. The information of that captured image will be communicated to the clou
Road Monitering system using Machine Learning
An Embedded system-based project is proposed to identify potholes using some of the Machine Learning techniques. The project will be able to detect potholes using images captured by the camera connected to the Raspberry Pi. The information of that captured image will be communicated to the cloud storage for further actions. This project holds immense worth in the improvement of the road infrastructure by providing smart solutions for the potholes detection to road development authorities.
Software Development: The application will have Machine Learning and Representation Learning Components developed using Python development language
Hardware:
Our proposed model mainly deals with detecting potholes using Machine Learning techniques. The final version will be able to detect the potholes using Raspberry Pi and a camera. Once a pothole is encountered, the detected location is determined using a GPS module connected with the same Raspberry Pi and sent to the cloud storage which can be informed to the road authorities for repair.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Raspberry Pi 4 | Equipment | 1 | 36000 | 36000 |
| Camera | Equipment | 3 | 9000 | 27000 |
| Rasberry Pi 5MP Camera Module | Equipment | 1 | 1000 | 1000 |
| Jummer wires | Equipment | 20 | 100 | 2000 |
| Documents Printing | Miscellaneous | 1 | 5000 | 5000 |
| GPS module | Equipment | 1 | 1000 | 1000 |
| Total in (Rs) | 72000 |
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