AI and IOT Based Road Accident Detection and Reporting System Circuit Diagram
BlogAI and IOT Based Road Accident Detection and Reporting System Circuit Diagram IoT based machine learning solution formulated in this paper aims to enhance the real time accident analysis and prevention for vehicles. The IoT sensors interface with advanced deep learning models and the cloud computing system to form a real-time analytics system that acknowledges the data gathered by the sensors, assesses existing risks of accidents, and provides actions that can be taken
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
Driven IoT Framework for Vehicle Accident Avoidance and Detection ... Circuit Diagram
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
This paper presents a real-time road accident detection and alert system that leverages a custom sequential CNN model optimized for rapid accident identification. Unlike existing approaches, this method integrates an automated alert system through Telegram's API, ensuring immediate notification to emergency responders. This enhancement significantly reduces response time, allowing for faster 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
Time Vehicle Accident Detection Using Adaptive ... Circuit Diagram
The Accident Detection and Alert System combines deep learning algorithms with edge computing technology to swiftly detect and respond to accidents on roads. Deep learning models, trained on large datasets, analyze sensor data in real-time for signs of accidents, such as sudden movements or collisions.
