Smart Helmet: Speech-to-Turn Signal

Overview

The Smart Helmet project introduces a voice-controlled system that converts spoken commands into turn signals, improving cyclist safety and communication on the road. The helmet integrates IoT technology and ML voice recognition to detect commands such as 'left,' 'right,' and 'stop,' activating corresponding LED signals. This innovation addresses the challenge of hand-signal communication, which can be unreliable or unsafe in high-traffic environments. The project demonstrates the potential of wearable technology to enhance road safety and provide cyclists with a more intuitive way to signal their intentions.

Challenge

Cyclists often rely on hand signals to communicate their intentions, which can be unsafe or ineffective in high-traffic situations. The Smart Helmet addresses this by providing a hands-free, voice-controlled alternative for signaling turns and stops.

Outcomes

• Developed a functional prototype of the voice-controlled smart helmet
• Integrated IoT and voice recognition technology for real-time command processing
• Enhanced cyclist safety through hands-free turn signals
• Demonstrated the potential of wearable tech for road safety