Superimposing Situation Expressions onto Captured Images
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies fail to sufficiently convey situations outside the capture range when presenting captured images, as they either rely on auditory or visual information within the capture range, limiting the ability to convey broader environmental contexts.
Innovation Solution
An information presentation system that includes a camera, sensor, and an information presentation apparatus capable of estimating signal source positions, extracting situation expressions outside the capture range, determining display methods based on positional relations, and superimposing these expressions onto captured images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If only captured image is used to convey atmosphere, then the technology is simple, but the ability to convey situation outside capture range is insufficient
Solution Approach 1:
The system segments information sources into multiple independent components: camera for visual capture, sensors for environmental data, and separate processing modules for each. This allows comprehensive situation awareness without requiring a single complex device, as each component performs a specialized function.
Solution Approach 2:
The system merges multiple information sources (captured images, sensor readings, situation expressions) into a unified presentation. By combining visual data with environmental sensor data and processed situation expressions, the system overcomes the limitation of capture range while maintaining manageable complexity through integrated processing.
2Loss of information
If sensor data is integrated to convey outside capture range, then situation awareness is improved, but processing complexity increases
Solution Approach 1:
The situation expression extraction unit performs preliminary processing of sensor data before final presentation. By pre-processing sensor signals to extract meaningful situation expressions and pre-determining display methods based on positional relationships, the system reduces the complexity of real-time comprehensive processing.
Solution Approach 2:
The situation expression acts as an intermediary between raw sensor data and final presentation. Instead of directly processing and displaying all sensor data, the system extracts condensed situation expressions that mediate between complex sensor inputs and simplified visual output, reducing processing complexity.
3Loss of information
If situation expression is superimposed on captured image, then contextual understanding is enhanced, but information clarity may be reduced
Solution Approach 1:
The display method determination unit applies local quality by selectively positioning situation expressions at optimal locations on the captured image. By determining display positions based on positional relationships between signal sources and capture range, and by adapting display methods to different regions, the system enhances contextual understanding while maintaining information clarity in specific areas.
Data Source
AI summary
A signal from a sensor and an image signal are received, and a position of a signal source is estimated based on the signal from the sensor. Information on a situation expression is extracted based on the signal from the sensor. The situation expression expresses a situation outside a capture range related to the image signal. A display position of the situation expression on a captured image by the image signal is determined using a positional relation between the position of the signal source and the capture range. A size of the situation expression on the captured image is determined depending on a distance between a position of the signal source and a capturing position where the image signal is captured. The situation expression with the determined size is superimposed onto the captured image in accordance with the display position; the captured image superimposed with the situation expression is output.