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

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.

Helmet Detection, Speed Reminder, Raspberry Pi, Intelligent