WebJan 1, 2024 · Highlights. •. Deep learning was applied to detect motorcycle helmet use in traffic video data. •. Algorithm is accurate within −4.4% and +2.1% compared to human observation. •. Algorithm accuracy was highest for sites included in the training of the algorithm. •. Performance decreased slightly for untrained sites.

A deep learning-based ensemble method for helmet-wearing detection

WebJun 18, 2024 · On the one hand, the method can help to recognize the carrier of the safety helmet and detect a multiscale and small safety helmet. On the other hand, deep transfer … WebMar 1, 2024 · The result shows that the YOLOv5 algorithm with the squeeze-and-excitation block has an average detection accuracy of 94.5% for safety helmets and an average … csj property agents

(PDF) Real-Time ISR-YOLOv4 Based Small Object Detection

WebDec 10, 2024 · Line 17–18 — Load the CNN model we trained to detect helmets. Line 20 — VideoCapture object to read frames from the video feed. Line 21 — A color array which we … WebThe helmet detection system can also monitor the workers within logistic complexes where there is a risk of potential hazards associated with falling objects and heavy loads. The technology ensures that all workers wear safety helmets and enables automation of safety measure checkups in logistic complexes saving a lot of time, effort, and costs. WebFor construction sites in high-risk industries such as the construction industry, wearing a helmet can minimize head injuries. Aiming at the low detection accuracy of the existing detection algorithms for wearing helmets, and the detection of small objects in complex and dense scenes is prone to false detection and missed detection, an improved helmet … eagle lake texas police department