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Fearless in harsh environments, empowering outdoor automation.
Thanks to their outstanding resistance to light, high protection rating, and wide-temperature design, our sensors are a reliable choice for outdoor automation applications in ports, mines, power plants, and other similar environments.
Outdoor Automation
Intelligent Monitoring for Perimeter Intrusion Detection in Critical Infrastructure
Critical facilities such as substations, prisons, airports, and military restricted zones have extremely high requirements for perimeter security. Traditional infrared beam systems are prone to false alarms caused by interference from birds and falling leaves; camera surveillance suffers from visual blind spots and limited night-vision performance; and physical fences cannot effectively prevent climbing or sabotage. Security personnel find it difficult to achieve 24-hour, comprehensive monitoring without any blind spots, and frequent false alarms significantly reduce the efficiency of patrols.
Collision Prevention and Stockpile Scanning for Large Port Stacking Machines
At bulk cargo terminals or coal storage yards at power plants, bucket-wheel stacker-reclaimers are massive machines with an extremely large working radius. During fully automated or remote operations, the boom arm is highly susceptible to collisions with nearby coal piles, other machinery, or vehicles, which can result in severe equipment damage. Moreover, harbor sea breezes—laden with salt spray and containing high levels of dust at the operation site—can cause ordinary sensor probes to fail rapidly, effectively “blinding” the machine.
In-Ground Vehicle (IGV): All-Weather, Outdoor 3D Obstacle Avoidance and Environmental Perception
Port terminals are typical all-weather, unstructured outdoor environments. When operating, unmanned ground vehicles (IGVs/ARTs) face complex lighting challenges: intense glare at noon, low illumination at night, and reflections from waterlogged surfaces—all of which can severely interfere with the visual cameras’ ability to make accurate judgments. Moreover, terminal surfaces often littered with low, small objects such as container locks, maintenance tools, or traffic cones—traditional single-line LiDAR systems are highly prone to “missing” these objects when scanning from above, potentially leading to vehicle tires being punctured or damaged by running over such objects, thereby impacting port operational efficiency.
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.”
Outdoor Low-Speed Unmanned Vehicle: Forward Blind Spot Suppression and 3D Environment Perception
Low-speed autonomous vehicles, such as unmanned delivery vehicles and unmanned sweepers, typically operate on outdoor, unstructured roads. Although the main lidar mounted on the roof has a long detection range, it creates a significant near-field blind spot beneath the vehicle’s front end. As a result, the main lidar often struggles to detect low-lying obstacles—such as curbs, pets, or traffic cones—as well as road surface potholes (negative obstacles). Moreover, intense sunlight outdoors places extremely high demands on the sensors’ anti-interference capabilities; ordinary depth cameras tend to fail under strong lighting conditions.
Real-time Volume Monitoring and Smart Position Closing
In the bulk material shipping process at coal mines or ports, loading efficiency directly affects the throughput of the logistics system. Traditional chute-based loading often relies on operators’ experience to perform “blind loading,” which easily leads to uneven loading (imbalanced cargo distribution), underloading (wasted space), or overloading and spillage (environmental pollution and safety hazards). If the load is uneven, vehicles are prone to tipping over during transport; if the load exceeds the vehicle’s capacity, not only does it result in costly material waste, but also exposes the operator to severe environmental and road management penalties. How to achieve “maximum filling, even distribution, and zero spillage” in a dusty environment is the core challenge in realizing unmanned loading stations.
3D Volume and Contour Detection of Fuel Vehicles for Biomass Power Plants
At biomass power plants, fuels such as straw and tree bark are typically purchased by weight. However, due to significant differences in fuel density and varying moisture content, relying solely on weighbridges can easily lead to practices like “water injection fraud” or “passing off inferior goods as superior ones” (e.g., substituting high-density, heavy materials for lighter fuels), resulting in financial losses for the power plant. Moreover, transport vehicles often carry loads that are severely non-compliant—such as excessively wide or overly tall stacks. Manual measurement not only is inefficient and prone to large data errors but also carries a high risk of damaging unloading equipment or causing safety incidents due to vehicle overloading.
Railway Foreign Object Intrusion Active Safety Monitoring
As the lifeline of the national economy, the safe operation of railways is of paramount importance. However, the complex geographical conditions along railway lines mean that risks such as rockfalls, mudslides, and intrusions by pedestrians or animals—known as "foreign-object encroachment"—constantly threaten train safety. Traditional video surveillance systems are easily affected by lighting conditions, rain, and snow, making it difficult to achieve precise, round-the-clock object detection. Meanwhile, manual inspections are inefficient and have limited coverage. Therefore, the urgent need arises to build an all-weather, blind-spot-free “invisible protective net” that can immediately sound an alarm upon the first sign of foreign-object intrusion, ensuring the safe operation of railways.
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.
Intelligent Intrusion Prevention System for Platform End Zones
The ends of platform platforms connect to the train operating sections and are high-risk areas where passengers are strictly prohibited from entering. However, some passengers, due to a lack of safety awareness or while making phone calls, often inadvertently step over the safety yellow line or even enter the restricted end zones. This not only puts them at significant personal safety risks but can also force trains to stop abruptly, severely disrupting railway transportation order. Traditional methods of physical barriers or manual intervention suffer from issues such as large coverage blind spots, delayed response times, and high labor costs, making it difficult to achieve effective, round-the-clock monitoring and control.
Railway Crossing Hazard Area Availability Notice
Railway level crossings are high-risk areas for off-track safety incidents, where dangerous situations such as pedestrians and vehicles rushing across the tracks and vehicle breakdowns causing delays occur frequently. The traditional “guard + barrier mechanism” model struggles to completely prevent unauthorized intrusions. Meanwhile, video-based monitoring systems are highly susceptible to interference from strong sunlight, nighttime conditions, and rain or fog, leading to detection blind spots and delays. Once an object encroaches onto the track, if the system fails to accurately detect it and issue an alarm within seconds, high-speed trains often won't have enough time to brake, greatly increasing the risk of serious accidents.
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.
Service Hotline:
400-050-0550
Product Inquiry:
19910537875
19910627875
Corporate email:
kf@yintaili.cn
Beijing Headquarters Address:
Building 3, Zone 3, Yongfeng Technology Enterprise Accelerator, Haidian District, Beijing Municipality, 2nd Floor
North China Operations Center:
Building 5B, Jindi Weixin·Yongtai Intelligent Manufacturing Park, Anfu Road, Xiqing District, Tianjin City
Henan Branch:
Unit 902, Building 1, Xinyuan International Plaza, Jianshe Road Subdistrict, Zhongyuan District, Zhengzhou City, Henan Province
Jiangsu Branch:
Room 605B, Building A, Anke Building, Jianye District, Nanjing City, Jiangsu Province
