Smart Window Black Insertion for Transport Vehicle Motion Sickness
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Solution Overview
Problem
Passengers in transport vehicles often experience dizziness due to rapid movement and the proximity of close-range scenes outside the window, which existing glass panes fail to mitigate effectively.
Innovation Solution
A smart window system comprising a detector, collector, and processor that uses infrared sensors to detect close-range scenes, calculates coordinates, and performs black insertion in the display to slow down the perceived movement of objects, ensuring passengers view far-range scenes without disturbance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If ordinary glass panes are used in transport vehicle windows, then the structure is simple and cost is low, but passengers experience dizziness when viewing close-range scenes moving at high speed
Solution Approach 1:
The window display area is segmented into multiple regions based on distance from the vehicle: a first display area for close-range scenes and a second display area for far-range scenes. This segmentation allows different processing strategies to be applied to different parts of the display, reducing dizziness effects for close objects while maintaining normal viewing for distant objects.
Solution Approach 2:
Different display processing qualities are applied to different regions of the window display. The first display area (close-range scenes) receives special processing including frame extraction, black insertion, and motion compensation to reduce dizziness, while the second display area (far-range scenes) maintains standard display quality without these additional processing steps.
2Object-affected harmful factors
If black insertion is performed for pixels in the frame-extracted area to slow down perceived movement, then dizziness is reduced, but the processing complexity and computational load increase
Solution Approach 1:
The system performs preliminary detection of close-range scenes using infrared sensors before the display processing occurs. Based on this early detection, the processor pre-identifies which areas require frame extraction and black insertion processing, allowing the system to prepare and apply the appropriate display processing in advance, thereby reducing dizziness effects.
Solution Approach 2:
The processor acts as an intermediary between the infrared sensor detection and the final display output. It receives detection results, calculates coordinates of close-range scenes, determines frame-extracted areas, and generates appropriate display signals with black insertion only where needed, thereby mediating between raw sensor data and the final processed display to reduce dizziness.
3Measurement precision
If the detector and collector continuously operate to detect close-range scenes and track human eye position, then the accuracy of frame extraction is improved, but the energy consumption increases
Solution Approach 1:
The detector and collector operate periodically rather than continuously. The processor sends detection instructions to the infrared sensor array and collection instructions to the eye position collector at specific intervals or triggered by motion detection events, thereby maintaining measurement precision while significantly reducing energy consumption compared to continuous operation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The smart window system effectively reduces dizziness by distinguishing close-range from far-range scenes and dynamically adjusting the display to provide a clear, non-smeared view of distant scenery, thereby improving passenger comfort.
Implementation Method 1
the detector may comprise a plurality of infrared sensors
Data Source
AI summary
The present disclosure provides a smart window, a control method thereof, and a transport vehicle. The smart window may include a detector, a collector, a displayer and a processor. The detector is configured to detect whether a close-range scene exists. The collector is configured to collect position information of a human eye. The processor is connected to the detector and the collector, and configured to calculate coordinates of the close-range scene, calculate coordinates of the human eye according to the position information of the human eye, obtain a frame-extracted area according to the coordinates of the close-range scene and coordinates of the human eye, perform black insertion for pixels in the frame-extracted area in the displayer, and generate a display signal. The displayer is connected to the processor and configured to display according to the display signal.