Objectives: Develop a system capable of detecting potholes using multiple ultrasonic sensors. Classify the width of potholes based on the number of ultrasonic sensors that detect the pothole. Integrate a GSM module into the system to send instant SMS alerts to the concerned person.

This task means to create a Pothole Detection and Notification System. The principal segments of the undertaking are the Accelerometer, Ultrasonic Sensor, Wi-Fi Module, GSM, with Arduino Uno, and the Raspberry Pi Board.

For our project we have adopted and are pursuing the following Methodology: To Detect Potholes and Ultrasonic sensor is used and data is collected (their depth and size). We are using Data Processing to detect potholes and give their severity. We …

Pothole detection using MATLAB image processing mages. The image captured in real time is sent to a MATLAB code which is running on a remote server through Wi-Fi or

Mar 15, 2021 · Cameras installed on moving vehicles can detect potholes in realtime and help drivers avoid potholes. At a very high level, the steps are as follows: 1. Data preparation. We need labeled images for a supervised Machine Learning model. We collected 1000s of pothole images from the Internet and labeled them using an image annotation tool.

Here we propose the design of a ‘Pothole detection System’ which assists the driver in avoiding pot-holes on the roads, by giving him prior warnings. The sensor is attached to the vehicle. The data obtained from the sensor and the locations obtained by GPS are transferred to the server.

Jul 15, 2023 · In order to identify numerous potholes, our suggested model uses Canny edge detection, a time-saving image processing technique that provides precise data and prevents accidents.

This system is implemented using AI-enabled camera and the object detection API that will help to detect the potholes. The dataset is collected by cloning TensorFlow object detection repository from GitHub.

In the context of pothole detection using IoT with Raspberry Pi, immediate response generation and feedback mechanisms are pivotal. Upon detecting a pothole, the system promptly alerts stakeholders via email, SMS, or push notifications, ensuring swift action by road maintenance crews or authorities.

LiCam is an intelligent pothole detection and alert system using camera and 2D LiDAR. The system works well in good lighting conditions by leveraging camera's (YOLOv8) detection and during low-lit conditions using 2D-LiDAR's depth data. The system gives real-time voice instructions to the driver to safely avoid the pothole and maneuver around it.