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About Accident Detection System A Deep Learning Approach To Detect Accidents
The document describes a proposed system to detect road accidents using existing surveillance cameras and deep learning techniques. The system uses convolutional neural networks (CNNs) to analyze video feeds from cameras and detect any signs of an accident. If an accident is detected, another CNN model classifies its severity. The system then sends alerts about the accident, including location and severity, to emergency responders. It aims to improve response times and potentially save lives by leveraging existing infrastructure for real-time accident detection and response. The methodology, literature review, requirements, and implementation steps are also outlined.
Detailed Information
Author: | ['Zeenath Jahan Begum'] |
---|---|
Publication Year: | 2023 |
Pages: | 4 |
Language: | English |
Format: | |
Price: | FREE |
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