Train Camera Image Processing for Operator Visibility
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Solution Overview
Problem
Conventional image display systems for train cars with cameras attached to the sides do not provide clear images for train operators, making it difficult for them to efficiently monitor passengers getting on and off the train.
Innovation Solution
An image display system that includes cameras attached to the sides of train cars, connected via a switching hub to a monitor in the cabin, with image processing to invert left-right camera images and adjust cutout regions based on door opening and closing states, ensuring images are displayed in a manner that aligns with the train's direction and platform layout, enhancing visibility for the operator.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If camera images are displayed directly without processing, then the system complexity is low, but the trainman cannot efficiently check passengers getting on and off the train
Solution Approach 1:
The system performs preliminary image processing actions by automatically inverting left-right camera images and adjusting cutout regions based on door states before display. This preliminary processing prepares the images in advance to match the train's direction and highlight relevant areas, enabling the trainman to efficiently check passengers without manual intervention.
Solution Approach 2:
The image processing unit acts as an intermediary between the camera system and the display system. It receives raw camera images, applies automatic inversion and cutout adjustments, and outputs processed images that are optimized for passenger monitoring, thereby resolving the contradiction between simplicity and efficiency.
2Ease of operation
If automatic image processing is implemented, then passenger monitoring efficiency improves, but the system complexity increases
Solution Approach 1:
The image processing system performs self-service by automatically inverting images and adjusting cutout regions based on door states without requiring manual configuration or intervention. The system autonomously processes images to match the train's direction and highlight relevant monitoring areas, making the operation easy while managing complexity internally.
Solution Approach 2:
The system changes image parameters automatically based on door states and train direction. By dynamically adjusting cutout regions and inversion based on detected parameters, the system improves ease of operation while containing complexity within the processing unit rather than requiring complex external control.
3Loss of information
If all camera images are displayed simultaneously, then complete coverage is provided, but the trainman cannot focus on critical areas during door operations
Solution Approach 1:
The system extracts and highlights critical areas by adjusting cutout regions based on door states. During door operations, it focuses the display on relevant areas such as door regions and platform edges, extracting important information while reducing visual clutter, thereby maintaining information visibility while improving checking speed.
Solution Approach 2:
The system applies local quality enhancement by dynamically adjusting which areas are emphasized in the display based on door states. Critical regions receive enhanced visibility through cutout adjustments, while less critical areas are de-emphasized, allowing the trainman to quickly identify important information without missing overall coverage.
Data Source
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AI summary
A predetermined image processing is carried out on the images that have been taken by the cameras 101 through 108 attached to a side of the cars that form a train before the images are displayed on the monitor 301 that is mounted in the train. That is to say, as a first image processing, among the images to be displayed, a left-right inversion process is carried out on the images where the positional relationship between the cars and the platform in the image is opposite between left and right to the positional relationship as viewed in the direction in which the train is to travel. In addition, as a second image processing, a cutout process is carried out on the images to be displayed so that the cutout regions differ in accordance with the opening and closing state of the doors.