A SOFTWARE BASED SYSTEM FOR HELMET DETECTION

The present invention related a software-based system for helmet detection. The invention is a software system for real-time helmet detection using machine learning and computer vision. The system utilizes the YOLOv5 algorithm for accurate and fast identification of helmets on motorcyclists in video...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser:	PANDAV, Sahish Ashok, UGALE, Kavita, PANDE, Yogesh Ashokrao, PANDE, Madhura Tushar, PANCHAL, Soaham Laxman, PANDEY, Ghanshyam Nareshwar, MAHAJAN, Chandrashekhar M, SHILASKAR, Swati, PANDAGALE, Shivam Santuka
Format:	Patent
Sprache:	eng
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Beschreibung
Zusammenfassung:	The present invention related a software-based system for helmet detection. The invention is a software system for real-time helmet detection using machine learning and computer vision. The system utilizes the YOLOv5 algorithm for accurate and fast identification of helmets on motorcyclists in video footage. With an 80% probability of detection, the system aims to enforce helmet-wearing regulations, enhance road safety, and reduce motorcycle accident fatalities. Additionally, the system includes a feature for capturing number plates of non-compliant riders, facilitating further enforcement actions. The invention showcases the potential of machine learning in promoting helmet usage and safer road practices.