The safety light curtain is a key equipment to ensure production safety at the automobile production line . It uses infrared beam detection mechanism to prevent personnel from accidentally touching or entering dangerous areas and is widely used in high-risk processes such as stamping, welding, and assembly.

The laser lidar sensor is hoisted on the side of the beam near the flexible leg to monitor obstacles below the beam and ensure that they do not collide with the flexible leg

Install laser scanner / lidar sensor equipment on the crane beam or side position on the truck channel, and conduct three-dimensional observation during the process of picking up and unloading to detect whether the truck driver or worker is in the operating area and obtain accurate position measurement information of the truck.

A beam collision prevention scheme based on laser scanning technology, by setting the area health function of the laser scanner, provides an alarm or emergency stop signal in advance before the ship collides with the beam to prevent danger from occurring

Lidar is installed at the four corners of the crane, and by setting up intrusion detection areas, it achieves collision prevention along the crane's travel route.

LSD-LWH is laser scanning dimension measurement system for the dynamic vehicles on LSD series lidar basis, vehicle length, width and height detection measurement system is undergoing on-site metrology testing. Through testing on different vehicles, trucks and cars

LHN(c) Series Intelligent defrosting vehicle separator with LHN common type and LHNC RS485 Serial interface type. This product is specially for toll collection system as vehicle separating device.

Vehicle loop detectors are our popular products for access control and are widely used at industry door for vehicle detection to realize door opening function, also at the barrier gate and toll gate

G-TEK laser vehicle separator has emerged, and the LMW-PI laser vehicle detector integrates a laser emitting device and a laser receiving device internally. Its working principle is based on TOF, which can detect changes in the distance of objects passing through the device in real time, thereby perceiving the contour of objects. Combined with millimeter wave radar, it has the characteristics of high accuracy, strong anti-interference, and multi applicability, and can be widely used in vehicle separation, event triggering and other scenarios, replacing light grids and loop detectors.

G-TEK LSD111 laser axle identifier adopts non-contact detection technology, which is easy to install and maintain. Its working principle is based on the TOF principle, which can detect real-time changes in the distance of the tire passing through the device, thereby perceiving the tire contour and determining the vehicle's axle information. It can replace light gratings, laser vehicle detectors, and loop detectors. It can be widely used in vehicle type recognition, vehicle separation, overloading at high-way entrance and other occasions.

The main function of identifying the driving shaft at highway toll stations is to ensure the accuracy and fairness of toll collection, prevent fare evasion, and improve traffic efficiency. By identifying the number and type of drive shafts, toll stations can accurately classify vehicles and charge according to the prescribed rates, avoiding charging disputes caused by incorrect axle identification and ensuring the fairness and transparency of charging.

The GVTI video vehicle recognition device can work stably in harsh environments such as rainy, snowy, and foggy days, with high recognition rates and easy installation. The product mainly consists of a front camera, a rear camera, a panoramic body camera, a vehicle model recognizer, and an automatic lighting system. It integrates image acquisition, image processing, image capture, high-definition vehicle recording, vehicle feature detection, license plate recognition, vehicle model classification, and axle number recognition. The system uses intelligent video vehicle feature analysis algorithms to achieve automatic recognition and classification of vehicle models.The vehicle separation rate, axle number recognition accuracy, and axle type recognition accuracy are all greater than 99%.