Semantic Scholar
Open Access
2024
Smart Accident Prevention System Using Wireless Technology
Kishori Degoankar
Abstrak
Abstract: This research presents a Smart Helmet integrating tilt, gyro, touch, RF433, I2C, LCD, Arduino, LED, and buzzer technologies. Tilt and gyro sensors monitor head movements for accident prevention. A touch sensor allows hands-free control, while RF433 enables wireless communication. I2C ensures seamless sensor integration. Arduino manages data processing, safety algorithms, and device control. The LCD displays critical information, and LED and buzzer provide real-time alerts. The system enhances user safety, communication, and situational awareness in industrial, sports, and emergency contexts. The study includes prototype design, implementation, and testing, contributing to intelligent wearable device development.
Penulis (1)
K
Kishori Degoankar
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2024
- Bahasa
- en
- Sumber Database
- Semantic Scholar
- DOI
- 10.22214/ijraset.2024.60454
- Akses
- Open Access ✓