Vehicle Cabin Cleanliness Detection Using Specular Reflection
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Solution Overview
Problem
Existing vehicle sanitization methods using UV light fail to reach hard-to-reach spaces and cannot effectively detect undesirable fluids like lubricants or grease, leading to incomplete cleaning of vehicle surfaces.
Innovation Solution
A vehicle sanitizer subsystem that uses a collimated beam of light projected onto target surfaces within the vehicle cabin, coupled with a sensor array to detect light diffusion and perform specular reflection analysis, determining the cleanliness of surfaces based on the intensity of reflective light received by inner and outer sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If UV lights are used to clean surfaces within the vehicle cabin, then bacterial and viral contamination is reduced, but hard-to-reach spaces and deep stains remain uncle an
Solution Approach 1:
The system segments the cleaning function into two distinct modules: UV lighting elements for sanitization and vacuum cleaning elements for physical removal of debris. These segmented elements work in sequence - the UV lights first sanitize surfaces including hard-to-reach areas, then the vacuum elements remove loosened contaminants, achieving both broad coverage and effective cleaning in confined spaces
Solution Approach 2:
The system merges previously separate sanitization and cleaning functions into a single integrated automated system. The robotic device combines UV lighting elements, vacuum cleaning elements, and sensors into one unit that performs both sanitization and physical cleaning operations, enabling comprehensive coverage of both accessible and hard-to-reach areas
2Difficulty of detecting and measuring
If traditional sensors are used to detect dirt, debris, and spills, then visible particles can be detected, but undesirable fluids like lubricants or grease cannot be detected since they match the surface color
Solution Approach 1:
The system introduces light as an intermediary substance to detect undesirable fluids. The light source projects light onto the surface, and the sensor array detects changes in light reflection patterns caused by the presence of lubricants or grease. This intermediary approach enables detection of color-matched fluids by measuring their optical properties rather than relying on color contrast
Solution Approach 2:
The system changes the detection parameter from color-based visual detection to optical reflection analysis. By measuring parameters such as light diffusion, reflection intensity, and scattering patterns, the system can identify undesirable fluids even when their color matches the surface, transforming the detection mechanism from appearance-based to physics-based measurement
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
The subsystem effectively determines the cleanliness of vehicle surfaces by differentiating between clean and non-clean surfaces through light diffusion analysis, prompting alerts and cleaning sequences as necessary.
Implementation Method 1
the one or more target surfaces should be composed of a material having a reflective surface that permits specular reflection when light is projected thereon
Implementation Method 2
the presence of undesirable particles, debris, fluids, etc. will cause diffusion of the light (i.e., scattering of light) that will be detected or captured by an array of sensors
Data Source
AI summary
A vehicle subsystem for cleaning a vehicle cabin may include one or more light sources, a sensor module, and a vehicle cleaning control module. The one or more light sources are mounted in the vehicle cabin to project a collimated beam of light to contact one or more target surfaces in the vehicle cabin. The sensor module includes an array of one or more sensors mounted adjacent to the one or more target surfaces, to detect as sensor data the light reflected from the one or more target surfaces. The vehicle cleaning control module includes one or more processors, coupled to the sensor module, to execute a set of instructions to conduct, in response to the detection, specular reflection analysis of the sensor data, and determine, in response to the specular reflection analysis, a state of cleanliness of the vehicle cabin.