Collision Warning Radar

Technical specs (IP65, UWB, temperature range), problem-solving (false alarm reduction, accident prevention), industry focus (logistics/manufacturing)

Enables 1/2-channel high-precision passenger counting with <0.5% error rate, optimizing real-time scheduling for public transit/school buses via data synchronization.

Integrates facial recognition and behavior analysis to classify passengers (adults/children) and detect anomalies (e.g., left-behind items).

H.265/H.264 encoding reduces storage usage by 70%, supporting 4CH HD video + 512GB SD + 2TB HDD for 30-day continuous recording.

Combines DSM (driver monitoring), ADAS (lane departure alerts), and BSD (blind spot detection) to meet commercial fleet safety certifications.

Optional CMS replaces traditional mirrors with multi-camera fused views and touch controls, eliminating blind zones.

4G/GPS/WiFi ensures uninterrupted connectivity in remote areas, enabling remote fleet monitoring via CMS platform.

Modular architecture scales from 4CH to 8CH, cutting installation costs by 40% across shuttle buses to coaches.

Voice alarms simultaneously remind drivers and surrounding pedestrians, reducing the risk of collisions between people and vehicles when reversing and enhancing the active safety awareness of both parties.0.14 seconds ultra-fast response speed accurately identifies obstacles, and with the automatic brake preload function, the collision rate of reversing in narrow parking spaces is reduced by 90%.

IP67 waterproof and dustproof design, resistant to erosion by high-pressure water guns and ice, snow and mud in car washes, and stable operation in extreme environments from -30℃ to 80℃.

0-5 meters omnidirectional obstacle detection coverage, compatible with metal/non-metal/low objects (such as stone piers, pets), minimum recognition height 15cm.

Anti-electromagnetic interference optimization algorithm, false alarm rate <2% in dense signal areas of parking lots, priority filtering of non-threatening targets such as fallen leaves, rain and snow.

Modular design supports flexible configuration of 1-8 sensors (common to cars/trucks/buses), plug-and-play wiring harness, and installation is completed in 30 minutes.

Open protocol interface can customize alarm logic (such as silent period settings, corporate LOGO voice prompts), and adapt to special vehicle management needs.

(Integrating core technologies such as anti-interference algorithms, omnidirectional detection, and rapid response, highlighting the adaptability to complex scenarios and customized service value)

● The control box and radar sensor have reached IP65/IP67 protection level respectively, and can withstand high-pressure water mist, dust and corrosive environment, and are suitable for complex working conditions such as mines and ports.

● The 77GHz millimeter wave radar has strong anti-interference ability in the high frequency band, accurately distinguishes vehicles, pedestrians and static obstacles, and the false alarm rate is lower than the industry average of 15%.

● The ultra-long detection distance of 40 meters combined with the three-level alarm distance strategy (warning/emergency/0.5 seconds before collision) provides sufficient braking response time for heavy vehicles.

● Automotive-grade component design, -40°C to 85°C wide temperature range operation, mean time between failures (MTBF) exceeds 50,000 hours, and the service life reaches the passenger car level standard.

● The sound and light alarm is linked to the on-board video surveillance, and the images before and after 15 seconds are automatically captured and stored when the alarm is triggered, and the efficiency of accident responsibility tracing is increased by 60%.

● The Doppler effect optimization algorithm effectively suppresses rain, snow and electromagnetic interference, and the target recognition confidence is >98%, ensuring reliable operation in extreme weather such as heavy rain/smog.

● Modular installation is compatible with all types of commercial vehicle structures, supports CAN bus and ADAS system data fusion, and realizes speed adaptive alarm threshold control.