3D Imaging for Safety Device Fit Compliance
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Solution Overview
Problem
Traditional safety compliance systems are inefficient in determining proper fit and positioning of safety devices, such as ear plugs, due to reliance on time-consuming acoustic measurements and two-dimensional data analysis, which lacks depth recognition, especially in high-traffic environments.
Innovation Solution
The use of three-dimensional (3D) image data and machine learning techniques, including artificial neural networks, to generate fit parameters indicative of safety device positioning, allowing for real-time compliance determinations without additional image data or testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional acoustic measurements are used to determine safety device fit, then measurement accuracy is improved, but time consumption increases
Solution Approach 1:
The patent replaces the mechanical/acoustic measurement system with an optical imaging system. Instead of using acoustic attenuation measurements to determine ear plug fit, the system uses 3D imaging to capture and analyze the positioning and fit of safety devices, thereby reducing measurement time while maintaining determination accuracy
Solution Approach 2:
The patent creates a 3D digital copy of the user's head and safety device positioning. This virtual model allows for rapid analysis of fit and compliance without requiring time-consuming physical acoustic measurements, enabling quick compliance determinations while maintaining accuracy through detailed 3D reconstruction
2Device complexity
If two-dimensional image data is used for safety compliance review, then system complexity is reduced, but depth recognition capability is lost
Solution Approach 1:
The patent transitions from 2D image processing to 3D imaging and analysis. By capturing depth information through 3D imaging technology, the system gains the ability to accurately determine the positioning and fit of safety devices in three-dimensional space, enabling proper compliance assessment without the limitations of flat 2D images
3Measurement precision
If multiple 2D images from different positions are captured to determine depth, then measurement accuracy is improved, but productivity decreases
Solution Approach 1:
The patent performs the depth capture action in advance by using 3D imaging to obtain all depth information in a single capture. This eliminates the need for multiple sequential 2D image captures from different positions, thereby improving productivity while maintaining depth measurement accuracy through the preliminary 3D data acquisition
Data Source
AI summary
Apparatuses, methods, and computer program products for safety compliance determinations are provided. An example method includes receiving three-dimensional (3D) image data indicative of a field of view of a 3D imager that includes a first user upon which to perform a compliance determination. The method further includes generating a fit parameter associated with a safety device of the first user within the field of view of the 3D imager based upon the 3D image data, the fit parameter indicative of an associated positioning of the safety device relative to the first user. The method also includes comparing the fit parameter with a compliance threshold associated with the safety device and generating an alert signal in an instance in which the fit parameter fails to satisfy the compliance threshold. In some instances, the method may supply the 3D image data to an artificial neural network to generate the fit parameter.