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About Detecting Motorcycle Helmet Use With Deep Learning
The document describes the development of an algorithm to detect motorcycle helmet use from video data using deep learning. Researchers collected over 250 hours of traffic video from 13 observation sites in 7 cities in Myanmar and annotated over 91,000 video frames. They trained their algorithm on this large dataset to detect motorcycles, the number and position of riders, and whether riders were wearing helmets. The algorithm achieved high accuracy compared to human observers in detecting helmet use rates, though accuracy decreased slightly without site-specific training. The goal is to enable automated, large-scale monitoring of helmet compliance to inform safety campaigns.
Detailed Information
| Author: | ['Animesh Gupta'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 28 |
| Language: | English |
| Format: | |
| Price: | FREE |
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