3D Vision System Gesture Control for TV Displays
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing gesture control systems for TVs and other devices struggle to accurately track user interactions in three-dimensional space, particularly in varied environments with ambient light and background conditions, limiting their effectiveness for controlling television functions and interactive applications.
Innovation Solution
A 3D vision system integrated into displays, comprising stereo vision, structured light, laser rangefinders, or time-of-flight cameras, processes vision data to recognize user gestures, track body movements, and control display settings, media playback, and interactive content, using computer algorithms for depth estimation, noise reduction, and user analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If gesture control systems are used to control TV functions, then the need for traditional remote controls is reduced, but the systems fail to accurately track user interactions in three-dimensional space under varied environmental conditions
Solution Approach 1:
The patent combines multiple sensing technologies (stereo vision, structured light, laser rangefinders, time-of-flight cameras) into an integrated 3D vision system. This merging of different measurement approaches allows the system to accurately track user gestures in three-dimensional space while compensating for the limitations of individual sensing methods, thereby maintaining tracking precision under varied ambient light and background conditions.
Solution Approach 2:
The patent introduces structured light patterns and active illumination as intermediary elements between the user and the sensing system. These intermediaries enhance the contrast and detectability of user gestures against varying backgrounds, enabling accurate tracking even in challenging environmental conditions where passive gesture recognition would fail.
2Measurement precision
If 3D vision systems with multiple sensing technologies are integrated into displays, then tracking accuracy improves, but device complexity increases
Solution Approach 1:
The patent designs the 3D vision system with multi-functional components that serve multiple purposes. For example, the structured light projector not only provides illumination for depth sensing but also creates reference patterns for gesture recognition. The camera system simultaneously captures both the structured light patterns and ambient scene information. This multi-functionality reduces the need for separate dedicated components, thereby managing complexity while maintaining high measurement precision.
Solution Approach 2:
The patent divides the 3D vision system into distinct functional modules (stereo vision module, structured light module, laser rangefinder module, time-of-flight camera module) that can be independently optimized and calibrated. This segmentation allows each subsystem to be developed and tested separately, reducing the overall integration complexity while achieving high tracking accuracy through the synergistic combination of modular components.
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
Enables accurate and intuitive control of TV functions and interactive content through gesture recognition, adapting to ambient light and user behavior, enhancing user experience and reducing the need for traditional remote controls.
Implementation Method 1
A 3D vision system integrated into displays, comprising stereo vision, structured light, laser rangefinders, or time-of-flight cameras
Implementation Method 2
A 3D vision system integrated into displays, comprising stereo vision, structured light, laser rangefinders, or time-of-flight cameras
Implementation Method 3
A 3D vision system integrated into displays, comprising stereo vision, structured light, laser rangefinders, or time-of-flight cameras
Data Source
AI summary
Information from execution of a vision processing module may be used to control a 3D vision system.