24GHz Millimeter-Wave Radar Module SRR236: Low-Power Speed and Distance Sensing Sensor for Smart Street Lighting
The SRR236 is a high-performance 24GHz millimeter-wave radar module specifically engineered for smart street lighting systems, integrating low-power consumption with high-precision speed and distance measurement capabilities. Utilizing Frequency-Modulated Continuous Wave (FMCW) modulation and a one-transmit-two-receive (1T2R) antenna configuration, it accurately detects target distance, relative velocity, and azimuth, with a detection range extending up to 30 meters—ideal for full urban road coverage. Its key advantage lies in ultra-low power design, averaging just 20mA during operation, while maintaining stable performance across a wide temperature range of -40°C to +85°C. Resistant to harsh conditions such as strong light, rain, snow, and fog, it ensures reliable 24/7 functionality.
Technical Parameter Comparison
| Parameter |
SRR236 24GHz |
Traditional Infrared/Ultrasonic Sensors |
| Detection Range |
1–30m (adjustable) |
≤10m (highly susceptible to environmental interference) |
| Speed Measurement Accuracy |
±0.5m/s |
Not capable of speed detection |
| Power Consumption |
20mA (average) |
≥50mA (continuous operation) |
| Environmental Adaptability |
All-weather stable |
Prone to failure in rain, snow, or intense light |
| Interface Types |
TTL/RS485 multi-interface |
Single analog signal output |
Application Scenarios
- Smart Street Light Control: Automatically adjusts brightness based on moving targets, achieving up to 40% energy savings.
- Traffic Flow Monitoring: Real-time tracking of vehicle and pedestrian volumes to optimize traffic signal timing.
- Security Alert System: Triggers camera alerts for abnormal stationary objects.
By leveraging the penetration and interference resistance of millimeter-wave radar, the SRR236 overcomes the limitations of conventional sensors, delivering a cost-effective, highly reliable perception solution for smart cities. It transforms streetlights from mere illumination tools into intelligent urban infrastructure nodes.
