Optical Component Surface Material Detection via Luminance Histograms
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Solution Overview
Problem
Prescription lenses in optical sensing systems often have surface materials like fog that reduce image quality, affecting user experience.
Innovation Solution
An electronic device generates images with reflections from optical components, using a controlled light sequence and computing luminance histograms to detect surface materials, allowing for user notification and potential removal through hardware defrosters or thermally conductive materials.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If surface material detection is implemented using controlled light sequences and luminance histograms, then image quality is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary detection of surface materials using controlled light sequences and luminance histogram analysis before the surface material affects image quality. By detecting fog, condensation, or other obstructions early in the optical path, the system can alert users or activate defrosting mechanisms proactively, preventing degradation rather than reacting to it.
Solution Approach 2:
The detection system continuously monitors the optical path by analyzing reflections from controlled light sources and compares luminance histograms against threshold criteria. This feedback loop enables real-time detection of surface material changes, allowing the system to respond dynamically to changing conditions on the optical component surfaces.
2Measurement precision
If controlled light sequences are used to generate images for detection, then detection precision is improved, but energy consumption increases
Solution Approach 1:
Rather than continuously activating light sources, the system employs periodic illumination sequences at specific intervals. The controlled light sources are activated only when detection is required, such as when the optical sensing system is in use or when changes in luminance histograms are detected, minimizing energy consumption while maintaining detection precision.
Solution Approach 2:
The system uses partial illumination by directing controlled light sequences only at specific locations or portions of the optical path where surface materials are most likely to form, rather than uniformly illuminating the entire field of view. This selective illumination reduces total energy consumption while maintaining sufficient detection precision.
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
Effectively detects and mitigates surface materials on lenses, improving image quality and user experience by notifying users or automatically removing fog and other obstructions.
Implementation Method 1
generate an image that includes reflections from a component of the optical sensing system
Implementation Method 2
detect a surface material based on a proportion of the image having an intensity of light in an intensity range
Data Source
AI summary
A surface material on one or more optical components of an optical sensing system can be detected. In some embodiments, a method of detection includes generating a first image using the optical sensing system. In accordance with a determination that one or more criteria are satisfied, the one or more criteria including a criterion that is satisfied when a proportion of the first image having an intensity of light in a first intensity range is greater than a threshold, a surface material is detected on the first attachable lens.