AI and IOT Based Road Accident Detection and Reporting System Circuit Diagram

AI and IOT Based Road Accident Detection and Reporting System Circuit Diagram Title: Car Accident Detection Using Deep Learning with Integrated Emergency Response System. The rapid development of intelligent transportation systems and the rise of smart cities have paved the way for advanced safety mechanisms in vehicular networks.This paper presents a comprehensive approach to car accident detection utilizing deep learning techniques, integrated with OpenCV for image

This article proposed an intelligent accident detection and rescue system which mimics the cognitive functions of the human mind using the Internet of Things (IoTs) and the Artificial Intelligence

Road Accident Detection and Alert System at Real Circuit Diagram

endowed with the capacity to discern subtle spatiotemporal patterns indicative of road accidents. By harnessing the power of deep learning, AcciVue transcends conventional methods, demonstrating unparalleled efficacy in real-time accident detection while laying the foundation for transformative advancements in road safety. B. Data Acquisition

As the number of vehicles increases, road accidents are on the rise every day. According to the World Health Organization (WHO) survey, 1.4 million people have died, and 50 million people have been injured worldwide every year. The key cause of death is the unavailability of medical care at the accident site or the high response time in the rescue operation. A cognitive agent-based collision

BharathGunasekaran/Car Circuit Diagram

EmergEye addresses a critical problem in emergency response: delays in detecting and responding to traffic accidents. This issue is especially prevalent in rural areas or less-monitored regions where accidents may go unnoticed for extended periods. Delays in emergency response can lead to increased fatalities and more severe injuries. EmergEye aims to bridge this gap by using real-time video