Optical Sensor Image Segmentation for Lift Height Detection
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Solution Overview
Problem
Conventional optical navigation devices experience low operation efficiency and high hardware costs due to false triggers when detecting lift height changes, as they rely on distance detectors that are prone to inaccuracies above one millimeter, impacting normal usage experience.
Innovation Solution
An optical detection device with a substrate, optical sensor, and processor that captures images and divides them into two regions to determine distance changes by comparing pixel quantities, using a light source and memory to analyze image data and determine if the device has lifted above a predefined height, allowing for accurate tracking cessation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional distance detectors (laser, infrared, sonar) are used to detect lift height, then distance detection capability is provided, but false triggers occur and operation efficiency decreases
Solution Approach 1:
The patent segments the image into multiple regions (first region, second region, third region) with different distance ranges. Each region corresponds to a specific distance zone from the working surface. By comparing pixel quantities in these segmented regions, the system accurately determines lift height without false triggers, resolving the contradiction between measurement precision and operation efficiency.
Solution Approach 2:
The patent introduces an intermediary image processing mechanism that uses pixel quantity comparison across segmented regions as a mediator between the optical sensor and distance detection. This intermediary approach replaces direct distance detector measurements with image-based pixel analysis, eliminating false triggers while maintaining accurate distance measurement.
2Measurement precision
If conventional distance detectors are used, then distance detection is enabled, but hardware cost increases
Solution Approach 1:
The patent makes the optical sensor serve multiple functions: it simultaneously performs navigation image capture and distance detection by analyzing pixel quantities in segmented regions. This multi-functionality eliminates the need for separate distance detectors (laser, infrared, or sonar detectors), reducing hardware complexity and cost while maintaining accurate distance measurement capability.
Solution Approach 2:
The patent merges the distance detection function with the existing optical sensor and image processing system. By combining these functions into a single integrated system that uses image pixel analysis for both navigation and distance measurement, the patent eliminates redundant hardware components and reduces overall system complexity.
3Measurement precision
If all image data is processed to determine distance, then accurate detection is achieved, but information processing amount increases and operation speed decreases
Solution Approach 1:
The patent segments the image into specific regions of interest (first, second, and third regions corresponding to different distance ranges) and processes only the pixel quantities within these segmented regions. This segmentation approach significantly reduces the amount of image data that needs to be processed compared to analyzing the entire image, thereby decreasing processing time while maintaining accurate distance detection.
Solution Approach 2:
The patent extracts only the necessary information (pixel quantities in specific distance-related regions) from the image data, discarding irrelevant information. By extracting and processing only the critical pixel data needed for distance determination, the system achieves accurate distance detection with minimal processing overhead and faster operation speed.
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 device effectively decreases information processing while increasing operation speed and accuracy, providing a better user experience by accurately determining lift height and stopping tracking when necessary.
Implementation Method 1
an optical sensor disposed on the substrate and adapted to capture an image about the target object
Data Source
AI summary
An optical detection device of detecting a distance relative to a target object includes a substrate, an optical sensor and a processor. The optical sensor is disposed on the substrate and adapted to capture an image about the target object. The processor is disposed on the substrate and electrically connected with the optical sensor. The processor is adapted to mark a first region and a second region within the image for acquiring first quantity of the first region and second quantity of the second region, and compare the first quantity with the second quantity for determining whether the distance is varied to a predefined condition.