User Insights & Application Scenarios:

For motorcycle and e-bike riders, safety is the top priority. In complex traffic conditions, riders must stay focused on the road ahead, often overlooking approaching vehicles from behind. This lack of rear awareness can lead to rear-end or turning collisions. Traditional helmets offer passive physical protection, but fall short in providing proactive safety support. Users are looking for a smart helmet that can monitor rear traffic in real time and issue timely alerts to help prevent avoidable accidents.

mmWave Radar For Smart Helmets:

By integrating mmWave radar, smart helmets can deliver Blind Spot Detection (BSD) and Rear Collision Warning (RCW) capabilities. With its high-precision sensing, the radar continuously tracks the position of vehicles and obstacles behind the rider. When it detects a potential collision risk, the system immediately issues an alert, prompting the rider to respond in time. This active safety feature enhances situational awareness and significantly reduces the chance of rear-end accidents.