Figure 2 from Pothole Detection System Using Region Circuit Diagram AI-based pothole detection systems have a number of advantages over traditional methods of pothole detection. They are: More Accurate: AI-based systems can detect potholes more accurately than a manual inspection or visual surveys. This is because AI systems can analyze large amounts of data and identify patterns that humans may not be able to see. Integrated real-time data analytics for optimized public transport, innovative road monitoring using demand prediction, and conditioning tech for sustainability, real time pothole detection either by image or video, smart parking count system for efficiency using AI/ML.
Abstract: The goal of this project endeavours to enhance road safety through a machine learning-based pothole detection system. The primary objective is to develop an artificial intelligence solution that can accurately identify and analyse potholes on road surfaces, thereby contributing to proactive road maintenance and accident prevention. Image-based pothole detection system for ITS service and road management system [Research article] Mathematical Problems in Engineering, 2015 (2015), pp. 1-10, 10.1155/2015/968361. AI training, and similar technologies. For all open access content, the relevant licensing terms apply.
Detecting Potholes on Roads Using Python and YOLOv8 Circuit Diagram
The US records more than 2000 fatal accidents per year due to potholes and bad road conditions. This article describes an approach of building a realtime detection system. There are numerous use cases of this detection system. For example, a civic authority can detect and locate potholes and assess their magnitudes so that they can plan for
This project focuses on developing a Real-Time Pothole Detection System that identifies potholes on roads using a combination of OpenCV, a custom ML model along with YOLOv8, and NodeMCU for real-time processing. The system detects potholes from video streams captured by an ESP32-CAM and triggers voice alerts to notify drivers. This project introduces an AI-based pothole detection system using YOLOv8, high-resolution cameras, and GPS to detect and measure potholes in real-time. It provides data to authorities for quick repairs, enhancing road safety. Resources. Readme Activity. Stars. 0 stars. Watchers. 1 watching. Forks. 0 forks.
Building A Realtime Pothole Detection System Using Machine Learning and ... Circuit Diagram
The development of automated pothole detection systems has made it possible to detect potholes faster, enabling timely repairs and minimizing the cost of road maintenance. Features of pothole detection with AI. AI-based pothole detection application involves the use of multiple cameras to capture the road surface. In rock identification systems: a comprehensive review [] proposed a rock detection system using hardware components and cloud-based storage.The system uses an ATmega328P micro-controller, an HC-SR04 ultrasonic sensor for telemetry and a NEO 6 m GPS module for location coordinates The HC-05 Bluetooth module is used to transfer data from the micro-controller to the Android application.
