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Driver Behavior Analysis System

Driver Behavior Analysis System

The driver behavior analysis system is based on AI deep learning technology. Through the deep learning model running in the host, it infers the image data collected by the camera. It can realize functions such as driver identity recognition, fatigue status detection, abnormal behavior detection, and whether the operating gestures are standard gestures. It also displays alarms and provides sound and light reminders for different non-standard driving behaviors of the driver, records data, and uploads the required information to the ground system....
Product Content
Technical Parameters

System Introduction

The driver behavior analysis system is based on AI deep learning technology. Through the deep learning model running in the host, it infers the image data collected by the camera. It can realize functions such as driver identity recognition, fatigue status detection, abnormal behavior detection, and whether the operating gestures are standard gestures. It also displays alarms and provides sound and light reminders for different non-standard driving behaviors of the driver, records data, and uploads the required information to the ground system.

Driver Behavior Analysis System(图1)

System Features

1. Identity recognition


When the train driver's cab is running, the driver's facial features are identified, compared with the information in the database, and the current driver's identity information is identified as being in the program or not in the program.


2. Behavior feature analysis


When the train driver's cab is running, fatigue status and abnormal behavior are monitored.


3. Gesture recognition


When the train driver's cab is running, the driver's operating gesture is analyzed to see whether it is a standard gesture when an operating gesture is required.


4. Data storage


When the train driver's cab is running, a system analysis is performed, and real-time video, train information, driver identity information, behavior information, and alarm video clips are saved at the same time.


5. Alarm display and sound and light alarm


When the train driver's cab is running, the driver's different non-standard driving behaviors are alarmed and reminded with sound and light.

System Features

1. The system adopts an embedded development architecture with low power consumption.


2. The system has a high recognition rate, with a positive detection rate of no less than 95% and a missed detection rate of no more than 5%. The effect is stable under standard lighting conditions and low light conditions, with no obvious changes.


3. The system is equipped with a large-capacity storage medium, and the data is normally recorded for no less than 30 days.


4. It can detect a variety of violations and promptly feedback alarm information to the train driver and the monitoring platform to provide safety protection for train operation.


5. The system has rich communication interfaces and can be integrated with different systems.


6. The system is adaptable to a variety of scenarios and can be widely used in urban rail transit, trams, light rail and other train application environments.