Traffic Analysis and Incident Detection
The Traffic Control and Incident Detection System is an innovative application that leverages Computer Vision and Deep Learning technologies to enhance road safety and efficiency. This system is capable of detecting and tracking various road users, including pedestrians, vehicles, and animals, in real-time.
Additionally, the application can identify potential hazards such as potholes and predict incidents, enabling proactive measures to prevent accidents. Built using OpenCV, Python, PyTorch, and TensorFlow, this system employs advanced Neural Networks, Convolutional Neural Networks, and Machine Learning algorithms to achieve high accuracy in object detection and tracking.
By utilizing Artificial Intelligence, this system can analyze video feeds from surveillance cameras and alert authorities to potential incidents, ensuring swift response times and improved road safety. The Traffic Control and Incident Detection System has the potential to revolutionize traffic management and reduce the number of accidents on our roads.