Fisheye Camera Array for Real-Time 3D Motion Analysis
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Solution Overview
Problem
Existing methods for optically recognizing and analyzing bodies, body parts, and objects in 3-dimensional space in a movement environment are complex, costly, and not real-time capable, providing only 2D data.
Innovation Solution
A method utilizing one or more cameras with fisheye lenses, arranged to cover a specific movement area, combined with real-time data processing units equipped with neural networks and artificial intelligence, to determine 2D and 3D positions of bodies, body parts, and objects, and provide real-time audio/video feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If depth cameras, laser scanners, or touch-sensitive floors are used for detection, then measurement precision and detection range are improved, but device complexity and cost increase
Solution Approach 1:
The system divides the detection task into multiple independent camera units, each capturing 2D images from different positions. Instead of using a single complex 3D sensor system, multiple simple 2D cameras work together to reconstruct 3D information through image processing and triangulation, reducing individual component complexity while maintaining overall detection capability
Solution Approach 2:
The patent uses multiple 2D camera images as copies or representations to reconstruct 3D spatial information. By processing multiple 2D projections of the same scene from different viewpoints, the system derives 3D positions without requiring complex 3D sensing hardware, thereby reducing device complexity while achieving accurate 3D detection
2Productivity
If multiple sensors and processing units are deployed to achieve real-time detection, then productivity is improved, but device complexity and cost increase
Solution Approach 1:
The patent combines multiple camera inputs and processing operations into a unified real-time detection system. By merging image data from multiple cameras and integrating detection algorithms that process all inputs simultaneously, the system achieves real-time 3D reconstruction and object recognition without requiring separate complex processing chains for each sensor type
Solution Approach 2:
The detection system is designed as a universal platform that can process multiple types of input data (images from different cameras, depth information, motion data) through a common processing architecture. This multi-functional approach enables real-time detection across various applications without requiring application-specific hardware configurations, reducing overall system complexity
3Area of stationary object
If existing detection systems are used, then detection range is improved, but only 2D data is provided and 3D analysis capability is lost
Solution Approach 1:
The system transitions from 2D image processing to 3D spatial analysis by adding the depth dimension through triangulation of multiple camera views. By processing images from multiple camera positions and calculating their geometric relationships, the system reconstructs 3D positions of objects and surfaces, thereby recovering lost spatial information while maintaining wide detection coverage
Data Source
AI summary
Provided is a device and a corresponding method for optical recognition and analysis, in particular of bodies, body parts and/or joints of a person, surfaces and objects in a 3-dimensional movement area in real time, with one or more cameras with fisheye lens, which are arranged at a distance and position from the movement area specifically selected for the application, for determining 2D positions of the bodies, body parts and/or joints, surfaces and objects by means of camera images, at least one data processing unit being provided, with devices for calculating neural networks and artificial intelligence in real time, for applying several AIs on captured camera images, and with at least one interface for one or more audio/video feedback units for outputting data or audio/video feedback on the analysis results by means of the audio/video feedback unit.