Vehicle motion sensor for intelligent street light control system

According to the city road environment, it cooperates with the intelligent lighting centralized controller to automatically control the illuminance of the lamps according to the changing of environmental brightness, to achieve the purpose of intelligent public lighting management.

According to the real time traffic flow rate conditions, it cooperates with the intelligent lighting centralized controller to automatically control the illuminance of the roadway lights according to the changing of city roads brightness, to achieve the purpose of intelligent public lighting management.

Key Features n Applicable to signal control systems, traffic information service systems, road traffic monitoring and other application scenarios. n High precision millimeter wave radar with 4 million low illumination camera. n Max. 8 lanes of multi-target motor vehicles detection, longitudinal distance of 100m. n High spatial resolution and strong penetration ability, support working in all-weather environment, not affected by rain, fog, strong wind, dust, light, etc. n Built-in deep learning algorithm, support intelligent recognition function, support license plate recognition and target fully structured. n Supports detection of multiple targets’ position, lane, speed, direction and other info. n It supports lane statistics, traffic flow, speed, status, queue, time distance, spacing, Qty.of parking areas, avg.delay, space occupancy and time occupancy data, and supports statistical upload from 1 to 3600 seconds. n Supports traffic evaluation data output, including congestion, queue length, etc. n Each lane supports 2 virtual coils to output vehicle entry and exit signals, the virtual coil positions are configurable. n Fog penetration, strong light suppression, wide dynamic range, and has multiple white balance modes to suit various scene requirements. n Support Network & RS-485 data upload. Parameters Millimeter Wave Radar Target Type People / Motor Vehicles / Non-Motor Vehicles Max. Qty. of Detection 128 Working Frequency 80 ~ 81GHz Transmit power 12dBm(RFout)+18dB(ANTgain) Speed Detect Range -250 km/h ~ 250 km/h Detection Mode Doppler moving target detection, slow moving target detection, fast moving target detection Sweep bandwidth 136.5 MHz Modulation Waveform FMCW Max. Detection Distance 150m@0° ;    50m@士45° Horizontal angle measurement range 士45° Horizontal lobe 90° for MRR, 22° for  LRR Vertical Lobe 13°(-6dB) Refresh rate 12.5Hz Install Height 1~ 6m   Interface Serial Port 1 of RS-485 Port Snapshot Function Image Format JPEG Image resolution 2688 × 1520 Smart Functions Intelligent recognition Bayonet capture, license plate recognition, vehicle model recognition, vehicle body color recognition, brand, sub-brand. Exterior Interface Ethernet 2pcs RJ45 100 M / 1000 M Adaptive Ethernet port  Warning 1 Relay switch Function Features Min.illumination Colorful: 0.01 Lux @ (F1.2，AGC ON) Black & White: 0.001 Lux @ (F1.2，AGC ON) shutter 1/25s ~ 1/100,000s Video compression standards H.264, H.265, MJPEG Compression output bit rate 32 Kbps ~ 16 Mbps Video resolution 2688 × 1520 Frame rate 25 fps (2688 × 1520) Image Settings Saturation, brightness, contrast, white balance, gain adjustable through software Storage function TF General functions Heartbeat, password protection, NTP time synchronization Video format PAL General Specifications Dimmensions 226 mm (W) x 375.3 mm (H) x 206.4 mm (D) Working Temperature -30 °C ~ +70 °C Working Humidity 5% ~ 95% @ 40 °C，No condensation Working Voltage DC 24 V ± 10% Power Consumption 25 W Max. N.W. 3 kg ICR Type Infrared IP Rating IP67 Focal Length 12 mm Resolution 2688 × 1520 White Balance Automatic white balance Wide dynamic range Support Max. Energy Optimization achieving by the Smart Traffic Radar  and Video all-in-one Detecting Machine 

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According to the Tunnel Entrance environment brightness, it cooperates with the intelligent lighting centralized controller to automatically control the power range of the tunnel lamps according to the changing of environmental brightness, to achieve the purpose of intelligent management and control.

According to the real time traffic flow rate conditions, it cooperates with the intelligent lighting centralized controller to automatically control the illuminance of the roadway lights according to the changing of city roads brightness, to achieve the purpose of intelligent public lighting management.

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