AR Display Light-Marker Triggering for Low-Power Spatial Alignment
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Solution Overview
Problem
Existing augmented reality systems consume excessive power and time due to continuous camera activation and complex computations for spatial information determination.
Innovation Solution
A display system and method that activates the image capturing device only when needed, using a light-emitting mark and specialized algorithms to reduce power consumption and computational complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the camera is continuously turned on to capture environmental images for spatial computation, then the augmented reality system can maintain accurate spatial information, but power consumption increases and computation time is wasted
Solution Approach 1:
The camera is activated periodically only when a light-emitting mark is detected, rather than continuously. The system uses a light sensor to detect the mark's emission, triggers the camera to capture an image only at these periodic intervals, and then processes the image to update spatial information. This periodic activation significantly reduces power consumption while maintaining spatial accuracy.
Solution Approach 2:
A light-emitting mark serves as an intermediary between the physical environment and the augmented reality system. The mark emits light that can be detected by a light sensor, triggering the camera to capture images only when the mark is present. This intermediary enables the system to obtain spatial information on demand without continuous camera operation, reducing energy consumption.
2Measurement precision
If complex algorithms are used to analyze environmental images for spatial information, then measurement precision is improved, but computation time and processing complexity increase
Solution Approach 1:
The system extracts only the essential spatial information from captured images by focusing on detecting the light-emitting mark and its characteristics. Rather than analyzing the entire environmental image for all possible features, the system specifically extracts the mark's position, timing, and light intensity data, which are sufficient for spatial computation. This selective extraction reduces computation time while maintaining precision.
Solution Approach 2:
The light sensor continuously monitors for the light-emitting mark in advance, so that when the mark is detected, the camera is already triggered and ready to capture the image. This preliminary detection action ensures that images are captured at the optimal moment when the mark is visible, reducing the need for repeated capture attempts and subsequent computation.
3Reliability
If the camera is activated frequently to capture environmental images, then spatial computation accuracy is maintained, but energy consumption increases
Solution Approach 1:
The system implements periodic camera activation triggered by light sensor detection of the emitting mark. The camera remains inactive until the mark is detected, then activates to capture an image, and remains inactive again. This periodic operation pattern maintains spatial computation reliability by ensuring images are captured when the mark is present, while minimizing energy consumption by keeping the camera off during intervals when the mark is not detected.
4Reliability
If continuous image capture and analysis is performed, then spatial information is constantly updated, but device complexity and processing load increase
Solution Approach 1:
The system extracts only the necessary spatial information from captured images by focusing on the light-emitting mark detection. The processing complexity is reduced by extracting only the mark's position, timing, and essential characteristics rather than performing comprehensive environmental analysis. This selective extraction maintains reliable spatial information updating while simplifying the processing requirements.
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
Effectively saves energy and reduces computation time by activating the camera only when necessary, while maintaining accurate spatial computation through specialized algorithms.
Implementation Method 1
determining whether a light-emitting mark matches a reference optical image or receives a light-emitting mark that emits a flashing signal matching a reference flashing signal
Data Source
AI summary
A Display System and Display Method for Augmented Reality, comprising a display device displays a light-emitting mark, and an augmented reality wearable device comprising a wearable body equipped with a light sensor. The light sensor detects the light-emitting mark and a flashing signal, then passes both the light-emitting mark and the flashing signal to a processor. The processor compares the flashing signal and a reference flashing signal, and when they match and the light-emitting mark matches a reference light image, it controls an image capturing device on the wearable body to capture a light-emitting mark image. The processor calculates a distance information and an angular information between the image capturing device and the light-emitting mark based on the light-emitting mark image, generating a projection parameters accordingly. The processor controls the projection device to adjust a projection image of an object according to the projection parameters.