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Drive the future of smart transportation with precise data.

Whether it’s dynamic weighing, vehicle type recognition, or free-flow traffic surveys, we provide stable and reliable front-end sensing equipment.

View the theme of digital transformation in transportation

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Autonomous Sweeper: Edge-Adaptive Cleaning Guidance and Ground Obstacle Detection

Unmanned cleaning vehicles primarily operate in outdoor settings such as parks, plazas, or sidewalks. To ensure comprehensive cleaning coverage, these vehicles typically perform “edge-cleaning”—that is, they drive closely alongside curbs. This task places extremely high demands on perception accuracy: the vehicle must not only identify the exact position of the curb to maintain its course but also prevent its wheels from scraping against the curb. Moreover, outdoor environments feature dramatic changes in lighting conditions—such as shade from trees and intense sunlight—and often include low stone pillars, steps (negative obstacles), or non-rigid debris like piles of fallen leaves. As a result, conventional sensors struggle to reliably distinguish between “debris that can be safely traversed” and “obstacles that must be avoided.”

Efficient, seamless passage through ETC lanes

Addressing the pain points of traditional inductive loop sensors used in ETC lanes—such as road disruption during construction, difficult maintenance, high failure rates, susceptibility to interference leading to missed vehicle detections, and limited functionality that cannot be upgraded—along with the core requirements of “non-destructive installation, precise detection, stable operation and maintenance, and scalable functionality”—the ETC laser coil offers an upgrade solution.

Precise Dynamic Weighing and Overweight Vehicle Detection & Guidance for Return

With the deepening implementation of the “National Unified Network” operation and the policy of “mandatory inspection for trucks and prohibition of overloaded vehicles,” highway toll plazas at entry points are facing unprecedented traffic pressures. Traditional static weighing systems are inefficient and prone to severe congestion; meanwhile, outdated dynamic weighing systems often prove inadequate when confronted with new cheating tactics such as skipping weigh stations, speeding through weighbridges, or driving in S-shaped patterns. Moreover, these systems struggle to accurately capture vehicle dimensions—length, width, and height—leading to oversight and misjudgments of overloaded vehicles. This not only results in lost toll revenue but also poses serious safety risks to highways.

Pre-Interception of “Three Excesses” Vehicles at Highway Entrances

In response to the highway regulatory requirement of “mandatory inspection for trucks and prohibition of overloaded vehicles,” the F1X series LiDAR is primarily used for early detection and proactive guidance before toll station entrances, addressing the pain points of traditional overloading enforcement at entry points—namely, “only able to measure weight but struggling to measure dimensions” and “on-site interception easily causing congestion.”

Precise Vehicle Classification at Highway Toll Stations: Enhancing Traffic Efficiency

Addressing the pain points of traditional grating-based highway toll stations—such as susceptibility to weather conditions, missed or false vehicle detections, and cumbersome installation and maintenance—and meeting the core requirements of “all-weather precise identification, rapid passage, cost reduction, and efficiency enhancement”—laser vehicle detectors offer a highly effective solution.

Round-the-clock precise identification of ultra-high vehicles safeguards the safety of bridge and tunnel assets.

Bridges, tunnels, and culverts are critical chokepoints in highway transportation. Once struck unexpectedly by a vehicle that is excessively tall, such incidents can—depending on the severity—result in traffic disruptions caused by trucks becoming stuck, or even lead to structural damage or collapse of the bridge or tunnel itself. Traditional physical height restriction barriers represent “passive protection”—they often only become effective after an accident has already occurred, lacking a proactive intervention mechanism. Meanwhile, conventional single-point photoelectric detection systems are highly susceptible to false alarms triggered by birds, fallen leaves, or adverse weather conditions, leading to frequent ineffective alerts and making it difficult to achieve precise, round-the-clock protection.

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