
Transit Pro Tech Inc.
Transit Pro Tech is committed to making transportation safer than ever.
Using the transformative power of artificial intelligence, Transit Pro has pioneered groundbreaking solutions for customers in the transportation industry.
Our award-winning integrated intelligence systems have significantly improved the accuracy of abnormality detection within transit operations. Today, our esteemed Chinese affiliate has over 50 existing patents and is dedicated to continuously ensuring the safety of travelers around the world.
5-Star Service System Certification*
12+
Years in Operation*
*Chinese affiliate credentials
10+ years of industrial R&D experience*
Meet our Team
Meet our Team
The Clients

Nanchang Metro
Kunming Rail Transit
Shenzhen Metro
Guangzhou Metro
Xiamen Metro
Zhuzhou Times Electronics
Yibin ART
(Autonomous Rail Rapid Transit)
Suzhou Rail Transit
Beijing Railway Administration
Xi’an Railway Administration
Investor Relations

NEWS AND UPDATES

Pioneering collaborative, creative solutions
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 Driver Management System
Drivers are the first line of defense for transit safety. In order to ensure operational safety, drivers must perform standardized operations and maintain a clear mental state while working. Traditional manual audits conduct spot checks by extracting in-vehicle videos, a method that has low coverage, high work intensity, and high levels of subjective human judgment.
Through our AI video analysis technology, we can intelligently analyze drivers’ standardized gestures as well as driving status. Detecting information including drivers’ closed eyes, lowered head, yawning, etc., our technology identifies safety hazards with accuracy and efficiency. These analysis results are fed back to a control center to be monitored in real time.

Intelligent Rail Flaw Detection System
After extensive operation and exposure to the environment, faults can appear along the rail line. Regular inspection along the full length of the rail is mandatory and traditionally includes demanding professional requirements, high training costs and long training cycles. To solve manual workload inefficiencies, our system uses AI technologies including modeling and deep learning to improve the accuracy rate of rail flaw identification. Addressing the shortcomings of traditional rail inspection, our system’s intelligent fault-in-rail analysis method is based on multimodal fusion of collected data. With rapid recognition speed and one-click reporting, our technology effectively advances the safety and efficiency of rail transit for all.

Intelligent Tunnel Inspection System
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.

Intelligent Overhead Contact System (OCS) Analysis System
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.

Intelligent Facial Analysis
Our advanced computer vision technology is used to analyze drivers’ facial expression, eye movement, posture and other behavioral characteristics in intelligent transportation scenarios. Deep learning algorithms such as Haar and CNN are used to detect and track facial features in real time while simultaneously building an accurate AI recognition model. This model effectively phases out problems such as eyeglass glare, thereby ensuring the safety of train operation.

Human Posture Recognition Analysis
Based on deep learning algorithms such as CNN, RNN, and ResNet, and integrating feature design methods such as support vector machines and random forests, we have been able to identify various postures and features of the human body with excellent accuracy and speed. At present, this technology has been applied and implemented in intelligent transportation scenarios. Our technology implements a standardized recognition model with the ability to detect train drivers' gesture movements, ensuring the safety and performance of rail transit operation.

Intelligent Tunnel
Safety Inspection
AI image analysis is used to implement advanced technologies such as target detection, image calibration, target change detection, and target abnormality analysis. This technology effectively prevents major driving safety issues including foreign object intrusion in tunnels, line detachment, abnormal opening of accessory equipment boxes, water leakage, and more. The work efficiency of tunnel maintenance personnel is also greatly improved.

Intelligent Overhead Contact System Analysis Technology
Our autonomously modeled deep neural network combines various processing methods including fine-grained classification, multi-mode matching, reinforcement learning, and distributed computing to improve the safety of railway operations. This intelligent technology automatically detects and identifies catenary faults, greatly improving the efficiency of defect-detection.

Join us in creating a safer tomorrow.
We are dedicated to continuous innovation, crafting artificial intelligence application systems for the future of the transportation industry.
Teamwork
Creativity
Responsibility
Trust
Get in Touch
HQ
100N Barranca Street Suite 460 West Covina CA 91791
Phone
(626)332-5398
