Abstract - In this research, we present an innovative Accident Detection and Alert System that combines Deep Learning (DL) and Edge Computing technologies. The system is designed to …

The first neural network (NN) is a recurrent network that analyzes the time-dependent sequence of the images within each video. The second takes the encoding of the first NN and builds a …

To implement an automated-system for detection and reporting of unexpected accidents using deep learning. 1. To detect an accident on highways. 2. Provide an alert message to the most …

Sep 29, 2022 · Automatic accident detection can shorten the response time of rescue agencies and vehicles around accidents to improve rescue efficiency and traffic safety level. The ability …

Whenever an accident occurs, it will detect the accident and immediately report about it to the nearby control room. The working of the system is based on deep learning techniques that use …

Mar 15, 2025 · This advanced accident detection system significantly improves road safety by enabling timely identification of traffic incidents and rapid emergency response.

In this paper, we build an intelligent traffic monitoring system using state-of-the-art deep learning models that aims to detect traffic accidents and the condition of traffic at the site in real-time so …

management systems. Parsa et al. (2019) apply deep learning techniques to real-time traffic accident detection using spatiotemporal sequential data. By leveraging advanced machine …

AcciVue integrates deep learning neural networks, including Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks[1], to analyze CCTV video feeds for …

We propose a vehicle crash detection system with sophisticated components to improvise vehicle crash detection performance. While most existing vehicle crash detection systems depend on …