Optical Orientation Detection Using Aligned Visual Markers
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Solution Overview
Problem
Existing methods for detecting the orientation and position of objects in space, particularly in the aeronautical field, face challenges such as ambiguity, complexity, and accuracy issues due to electromagnetic disturbances, bulkiness, and mechanical transfer constraints, especially in high-dynamic environments.
Innovation Solution
An optical detection method using a camera to determine the orientation of an object based on a minimum of identifiable points aligned on the object, where at least three points define a straight line, allowing for computation of orientation and rotation, and translation by analyzing projections in the image plane, with notable points differentiated by color or luminosity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If electromagnetic posture detection devices are used, then position detection is possible, but robustness is difficult to implement due to stray radiations and electromagnetic disturbances
Solution Approach 1:
The patent replaces electromagnetic detection systems with an optical detection system using a camera and visual markers. The camera captures images of markers (such as LEDs or reflective elements) positioned on the helmet, and computational algorithms determine orientation from these visual data. This substitution eliminates susceptibility to electromagnetic disturbances while maintaining detection capability.
2Measurement precision
If electro-optical posture detection with multiple LEDs and cameras is used, then detection accuracy is improved, but device complexity and computational resources increase
Solution Approach 1:
The patent extracts and utilizes only the essential geometric information from the marker configuration. By focusing on the relative positions of a minimal set of markers (as few as three non-collinear points) and their projections in the image plane, the system achieves accurate orientation detection without requiring multiple cameras or complex sensor arrays. The computational algorithm processes only the necessary geometric parameters.
Solution Approach 2:
The patent segments the detection task into distinct geometric components: marker position identification, projection analysis, and orientation computation. This segmentation allows each component to be processed independently and efficiently, reducing overall computational complexity while maintaining measurement precision.
3Speed
If hybridization of sensors (gyroscopic, accelerometric, magnetometric) is used, then dynamic performance is improved, but bulkiness and complexity increase
Solution Approach 1:
The patent makes the optical detection system multi-functional by designing it to simultaneously handle both dynamic motion tracking and static orientation measurement. The camera-based system with geometric marker analysis can capture high-speed movements and compute orientation in real-time, eliminating the need for separate gyroscopic and accelerometric sensors while maintaining dynamic performance.
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
This method simplifies the detection process, enhances accuracy, reduces computational complexity, and mitigates errors caused by mechanical tolerancing and electromagnetic disturbances, enabling precise orientation and rotation analysis with minimal hardware requirements.
Implementation Method 1
optical detection means making it possible to determine the relative positions in its image plane (I) of the projections of notable points in space
Data Source
AI summary
The optical method for detecting the orientation of an object in space, the object including a triple of notable and aligned points tied to the said object, whose relative positions are known, the three points defining a first straight line in space, optical detection means making it possible to determine the relative positions in its image plane of the projections of notable points in space, a computer making it possible, by means of the relative positions of the projections in the image plane of the three notable points, and of an identifiable characteristic of an external one of the points of the triples of points, to determine a direction vector of the straight line and of its orientation.