Automatic Pothole Filler

Road surface deterioration, particularly potholes, poses a significant threat to road safety, vehicle maintenance, and transportation efficiency. Conventional repair methods are time-consuming, costly, and rely heavily on manual labor, leading to frequent traffic disruptions and inconsistent repair quality. The proposed Automatic Pothole Filler System aims to address these challenges by introducing an autonomous mechanism capable of detecting and repairing potholes with minimal human intervention. The system integrates sensors, microcontroller, and automation technologies to provide a fast, efficient, and cost-effective road maintenance solution. In this project, ultrasonic and camera-based sensors are employed to identify potholes by detecting irregularities in the road surface. The data is processed by a microcontroller (Arduino Uno or Raspberry Pi), which then activates a motorized filling mechanism to repair the pothole. The system is designed to be compact, mobile, and adaptable for various road environments. It leverages embedded system technology, motor control, and automation principles to enhance operational precision and reliability. Furthermore, the design ensures safety, energy efficiency, and environmental sustainability by reducing unnecessary material wastage and traffic congestion during repair operations. Phase 1 of this project focuses on the design, development, and simulation of the system, ensuring that all components function cohesively. The results and field implementation will be conducted in Phase 2, where the system’s performance will be validated through real-time testing. This work contributes to the advancement of smart infrastructure by aligning with the vision of smart cities enabling intelligent, automated, and sustainable road maintenance systems that improve public safety and transportation efficiency.