Object Recognition via Projected Light Shape Deformation
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Solution Overview
Problem
Conventional vision systems for object recognition and ranging are time-consuming and often require expensive devices, limiting their effectiveness and efficiency in autonomous applications.
Innovation Solution
A system and method for object recognition and ranging using deformation of projected shapes, which involves projecting an array of light shapes and detecting their reflections to determine object distance and orientation, allowing for identification and tracking of objects through a library-based matching process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional vision systems are used for object recognition and ranging, then object detection can be performed, but the process is time-consuming and requires expensive devices
Solution Approach 1:
The system segments the object recognition process into distinct phases: projecting structured light patterns, capturing reflected images, and processing shape deformation data. This segmentation allows each phase to be optimized independently, reducing overall detection time while maintaining accuracy
Solution Approach 2:
The system performs preliminary actions by pre-defining a library of object shapes and their expected deformation patterns under projected light. This pre-computation enables faster real-time recognition by comparing actual deformations against pre-established templates rather than performing full analysis during detection
2Measurement precision
If conventional vision systems are used for object recognition and ranging, then object detection can be performed, but expensive devices are required
Solution Approach 1:
The system uses a camera to capture optical images of reflected light patterns, creating a visual copy of the three-dimensional object surface. This optical copying approach replaces expensive tactile or laser-based ranging devices with simpler, more affordable imaging equipment while maintaining measurement precision
Solution Approach 2:
The system replaces complex mechanical ranging devices with an optical field-based approach using projected light patterns and camera imaging. This substitution eliminates moving mechanical parts and complex hardware while achieving accurate object recognition and ranging through optical deformation analysis
3Measurement precision
If structured light projection is used for object recognition, then ranging and orientation can be determined, but system complexity increases
Solution Approach 1:
The projected light structure serves multiple functions simultaneously: it provides illumination for image capture, encodes spatial information for ranging, and creates measurable deformation patterns for shape analysis. This multi-functionality reduces the need for separate systems while maintaining measurement precision
Solution Approach 2:
The system varies parameters of the projected light structure (such as pattern geometry, wavelength, or intensity) to extract different object characteristics from the same projection system. This allows ranging, orientation, and shape recognition to be achieved through parameter modulation rather than additional hardware
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 approach enables efficient and cost-effective object recognition and ranging, improving the accuracy and speed of object detection and tracking in various environments, including autonomous systems.
Implementation Method 1
a projecting device, located at a platform, which projects an array of light shapes
Implementation Method 2
Reflections of the light shapes from at least one object in a projection path of the light shapes are detected
Data Source
AI summary
Provided is a disclosure for detection and recognition of objects using a projected array of light shapes of one or more frequencies, where the light may be structured or non-structured.