ASN850 Millimeter
Wave Sensing Radar
Wireless awareness, unlimited intelligence
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Enterprise products, solutions & services
Wireless awareness, unlimited intelligence
ASN850 Millimeter Wave Sensing Radar
ultra-distance detection
Ultra-wide coverage
Precise event
Minimal delivery
Specifications
| Classification | Indicator Item | Parameter Value | |||
| Radar Performance | Operating frequency | 80 GHz | |||
| Detection distance | >1000 m, all-weather lane class body class 500 m | ||||
| Detection width | Full coverage of 10 lanes without blind spots | ||||
| Distance resolution* | 0.5 m short distance, 1.8 m long distance | ||||
| Ranging accuracy | 0.17 m short distance, 0.4 m long distance | ||||
| Antenna horizontal angle | 110° short range, 10° long range | ||||
| Angular Resolution* | Near 4°, Remote 1° | ||||
| Angle measurement accuracy | 0.5° short range, 0.07 long range | ||||
| Speed range | Bidirectional 0 ~ 220 km/h (inbound and outbound) | ||||
| Speed Resolution* | 0.1 m/s short-range, 0.05 m/s long-range | ||||
| Speed measurement accuracy | 0.03 m/s for short distance, 0.02 m/s for long distance | ||||
| Device management | Built-in web management and remote eSight unified NMS | ||||
| Installation height | 6 - 12 m | ||||
| Parameters of the radar system | Interface | 1 x Ethernet port (PoE++/data), 1 x Combo port (Default reset) | |||
| Power supply | PoE++ | ||||
| Typical Power Consumption | < 45 W | ||||
| Operating temperature | - 40°C to + 85°C (industrial grade devices) | ||||
| Operating humidity | 5% ~ 95% | ||||
| Dustproof and waterproof | IP67 | ||||
| Salt rot environment | Deployable outdoors near the sea (within 500 m from the sea surface or coast) | ||||
| Electromagnetic compatibility | Meets the GB/T 17618 standard. | ||||
| Volume | < 4.5 L | ||||
| Weight | < 4.5 kg | ||||
| Convergent sensing capability | Vehicle Trajectory Capture Accuracy | ≥ 95 % | |||
| Continuous accuracy of vehicle trajectory | ≥ 95 % | ||||
| Vehicle flow monitoring accuracy | ≥ 95 % | ||||
| Number of lanes that can be monitored | Two-way 10 lanes | ||||
| Radar detection function | Average vehicle speed detection, lane occupancy/abnormal parking/congestion information judgment, and reverse/lane-shift vehicle identification | ||||
| Visual recognition function | • Extract Vehicle Attributes (License plate, vehicle color, vehicle type, vehicle brand, and location) Realize Ray-Visual Integration | ||||
| • Visual license plate recognition and filtering of specific license plates; License plate recognition success rate: > 90% during the day and > 85 at night (light supplement) | |||||
| • Supports vehicle model recognition, vehicle color recognition, vehicle length recognition, pedestrian recognition, and vehicle brand recognition | |||||
| • Supports 50 cm x 50 cm x 50 cm throw detection * * | |||||
| Ray-Sight Fusion Accuracy | Positioning error <±0.5 m | ||||
| Cross section performance statistics | Vehicle flow, vehicle speed, time occupancy, head-head distance, head-head distance | ||||
| Blind zone prediction | The blind area under the pole is less than 10 m. The guaranteed track continuity rate in high-speed and non-dense congestion scenarios is greater than 95%. | ||||
| Occlusion prediction | Support | ||||
| Cross-site track/ID continuous | Support. Object loss can be rectified by predictive tracking and license plate recognition | ||||
| Self-calibration/self-calibration/self-optimization | Support | ||||
| Lei-Sight Fusion Effect Display | Sensor viewing and real-time video viewing | ||||
| Batch upgrade | Support | ||||
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