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Our focus is on ensuring safe rail transit operations, by monitoring manual work, equipment, and environment in multiple dimensions. With a long-term tracking system in place, we are equipped to provide a comprehensive product and service solution for intelligent field operations.

Intelligent Metro Driver & Attendance Management System

Intelligent Fault-in-rail Detection

System

Intelligent Tunnel Inspection System

Intelligent Overhead Contact System Analysis System

Railway Freight Automation Robots

Drivers play a crucial role in ensuring transit safety as the first line of defense. To maintain operational safety, it is essential for drivers to adhere to standardized procedures and remain alert while on duty. Traditional manual audits rely on spot checks through extracting in-vehicle videos, which have limitations such as low coverage, high work intensity, and subjective human judgment.

Our AI video analysis technology intelligently assesses drivers' adherence to standardized gestures and driving behavior, accurately detecting potential safety hazards such as closed eyes, lowered head, or yawning. These analysis results are promptly relayed to a control center for real-time monitoring. In addition to identifying potential safety hazards, our AI video analysis technology also provides valuable data for driver training and performance evaluation. By analyzing patterns of behavior over time, we can identify areas where additional training may be needed or recognize exemplary performance that can be used as a model for other drivers. Furthermore, the use of AI video analysis technology allows for continuous monitoring without placing an excessive burden on human resources. This ensures that all aspects of driver behavior can be consistently evaluated and addressed in a timely manner.

The carriage passenger monitoring system is equipped with advanced cameras and sensors capable of capturing real-time data on passenger movement, behavior, and overall conditions. This includes tracking the number of passengers entering and exiting the carriage, as well as their distribution throughout the space. Additionally, the system has the ability to detect potential emergency situations such as medical emergencies or security threats. By continuously analyzing this data, the operating party can make informed decisions about resource allocation within the carriage. For example, during peak hours when there is a high volume of passengers, the system can help identify areas of congestion and suggest adjustments to improve flow and reduce overcrowding. This not only improves efficiency for both passengers and staff but also enhances overall safety by minimizing potential risks associated with overcrowding. Furthermore, in critical situations such as medical emergencies or security incidents, the system enables rapid response by alerting relevant authorities and providing them with real-time information on the situation at hand. This allows for swift intervention and resolution of any issues that may arise while ensuring that passengers are kept safe at all times.

After extensive operation and exposure to the environment, faults may develop along the rail line. Regular inspection of the entire length of the rail is essential and traditionally involves rigorous professional standards, high training costs, and lengthy training cycles.

The Intelligent Fault-in-rail Detection System is a critical preventive maintenance method capable of real-time detection of internal and external cracks and defects in the track using high-precision sensors, multimodal fusion of collected data, and advanced imaging technology. This technology significantly enhances track safety, reduces potential accident risks, and ensures smooth train operations on safe tracks. In addition to its real-time detection capabilities, the system also provides detailed reports on the condition of the track, allowing for targeted repairs that can extend the service life of tracks. By promptly detecting and repairing flaws, it effectively reduces maintenance costs with rapid recognition speed and one-click reporting. This advanced system not only benefits railway operators but also improves overall transportation efficiency by minimizing disruptions caused by track maintenance. With its ability to identify potential issues before they escalate into major problems, it plays a vital role in ensuring reliable and safe railway operations for passengers and freight alike.

Abnormalities in subway tunnels pose a risk to passenger safety, especially in crucial urban areas. Due to a limited maintenance window, harsh working conditions, and risk of missed inspections, tunnel maintenance efficiency may be low.

To improve the safety and productivity of inspections, our AI image analysis technology immediately identifies foreign objects and abnormalities. This automatic detection system combines functions including target detection, image calibration, and target anomaly analysis to recognize any and all potential hazards. Issues such as the detachment of rail lines, abnormal opening of ancillary equipment boxes, and water leakage are quickly analyzed and addressed.

Railway OCS maintenance is essential to ensure the safety of railway operations. However, traditional inspection methods have limitations such as low efficiency and high manual fatigue. Our intelligent catenary image recognition and analysis system, developed with computer vision and deep learning technology, allows for real-time monitoring and analysis of railway catenary status. The system automatically processes and analyzes catenary images, intelligently identifying and evaluating the catenary status, improving the safety and efficiency of railway transportation.

We have developed an innovative set of solutions for the complete automation of freight yard operations. This solution incorporates advanced robotic motion control algorithms, automation technology, sensor fusion technology, and visual neural networks to improve tasks that previously relied heavily on human labor and posed significant safety risks. We then employ reinforcement training techniques to advance these task operations into fully automated methods. As a result, we have significantly reduced our dependence on human labor and greatly decreased the safety risks during the operation process, thereby enhancing the overall efficiency and reliability of freight yard operations.

End-of-train Ancillary Robot

This product is a all-terrain robot with dual mechanical arms, obstacle avoidance radar, and visual modules. It is capable of adapting to the complex terrain of freight railway marshalling yards, crossing over rails, achieving autonomous cruising, and automatically completing transportation tasks. Additionally, it can establish communication connections with train-end devices and handle air hose connections/disconnections. The product significantly increases work efficiency by four times while reducing costs to one-third and decreasing the rate of work accidents to 5% of the original level.

Hump Hook-lifting Robot

This product is a all-terrain robot with a high-torque, heavy-duty mechanical arm, equipped with obstacle avoidance radar and visual modules. It is capable of adapting to the complex terrain of freight railway marshalling yards, crossing rails for autonomous obstacle avoidance, cruising, automatic following, and target recognition functions with trains. The product can fully automate the hooking operation during train reassembly at hump yards' peak. This product significantly enhances hump shunting efficiency, expected to reduce costs by half and decrease the original work accident rate to 1%.

Fault-in-rail Detection Robot

This product is a versatile all-terrain robot equipped with ultrasonic flaw detection technology, capable of adapting to the complex terrain environment of freight railways. It is also equipped with obstacle avoidance radar and visual modules, enabling autonomous obstacle avoidance, cruise detection, target recognition analysis, and remote data transmission. Depending on different operational requirements, this product can be installed with various flaw detection devices to achieve fully automatic detection, real-time analysis, and marking of rail damage. The robot significantly improves the efficiency of inspectors in detecting flaws and seamlessly integrates with the company's rail flaw detection system to quickly verify damage conditions, effectively reducing labor intensity.