Car Accident Detection Utilizing Deep Learning with CNN and YOLO Algorithm Deep Learning Implemented in Python
Car accident detection is implemented using deep learning techniques, combining Convolutional Neural Networks (CNN) and the YOLO algorithm for real-time object detection, developed in Python. This system aims to enhance road safety by accurately identifying accidents from video data.
Project ID: 0463
Sub domains: Deep Learning
Domain: Python
Project Year: 2022
Keywords: car accident detection deep learning CNN YOLO Python real-time detection computer vision object detection
Project Cost : ₹6500
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