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Helmet Detection and Speed Reminder System for Enhanced Safety in Electric Scooter Us

Authors

Ming Yin1 and Jonathan Sah2,1USA, 2California State Polytechnic University, USA

Abstract

The rising popularity of electric scooters has raised safety concerns due to inadequate helmet usage and high-speed driving [4]. This study introduces a solution to address these issues by proposing a Helmet Detection and Speed Reminder System [5]. Implemented on a Raspberry Pi platform, the system employs artificial intelligence techniques to detect helmet usage and monitor riding speeds [6]. Real-time video analysis and accelerometer data enable helmet detection and speed monitoring [7]. The system of ers audio alerts to encourage helmet usage and safe speeds. Experiments were conducted to evaluate accuracy, robustness, and user satisfaction. The helmet detection module achieved 90.4% accuracy, while users expressed high satisfaction and willingness to adopt the system. Challenges included intricate helmet designs, addressed by a diverse training dataset. The proposed system not only enhances rider safety but also promotes responsible riding, contributing to a safer urban mobility landscape.

Keywords

Helmet Detection, Speed Reminder, Raspberry Pi, Intelligent