Vehicle Counter

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PRODUCTS

Benewake is dedicated to the research, development and production of Solid-state LiDAR, serving the modern society with more accurate spatial and locational information. To this end, Benewake with the industry's cutting-edge technology and production and assembly equipment to ensure that every product is subject to multiple professional rigorous testing before be delivered to our customer.
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- Solid-State Array LiDAR
  - CE30
- LiDAR Distance Sensor
  - TF02
  - TFmini Plus
  - TFmini
- Long Range LiDAR
  - TF03
Silo & Bin Level Sensor

From 0.1~180 meters short,middle and long distance single point LiDAR to customized solid state LiDAR,Benewake could customize product solution for all industries.
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APPLICATIONS
Applications

Benewake has been pushing its technologies and products to every corner around the globe, applying them in various aspects such as industrial security, smart transportation, smart home, autonomous vehicles and so forth.
Detail
TFmini Plus

TFmini Plus, based on TFmini, is a single-point short-range LiDAR sensor. Inherited characters of low cost, small size and low power consumption from TFmini, TFmini Plus has greatly improved its performance — increasing the measurement frequency, reducing blind zone, improving accuracy and stability.
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Vehicle Counter

To ensure traffic management system normal running and provide accurate and reliable traffic information, Benewake LiDAR could provide different product solution according to real demands and integrated into monitor system of highway or urban road. Data could be collected accurately by its strong anti-interference ability.

Detail

Features & Benefits：

1. Low missed detection rate
2. Decision threshold can be adaptively adjusted based on ambient light, temperature, visibility and vehicle model
3. Our auto-adjust algorithm can reduce the false detection rate in traffic jams

Applications：

Installed directly above the lane, with its powerful algorithm designed specially for traffic use, TF02 can adjust parameters automatically based on the circumstance and identify whether there is vehicle.