Smart Video Surveillance for Public Safety

An innovative approach to improving quality of life by addressing a critical issue: to prevent the rising number of road accidents due to rapid global population growth and increased automobile sales. As vehicle numbers surge, many administrations face challenges in managing road traffic accidents and ensuring road safety. Among the various concerns, road accidents require urgent attention as timely intervention can save numerous lives. Our work used Python programming integrated with Convolutional Neural Networks (CNN) for detecting the accident locations in accurate manner and promptly alert emergency services to prevent death rate. By implementing this system, response times are reduced, leading to a decrease in traffic-related fatalities. The solution offers a practical and effective way to safeguard human lives in real-world scenarios.