Vehicle Door Gap Edge Detection with Laser Reference Matching
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Solution Overview
Problem
Existing methods for detecting door gaps in vehicle bodies are inefficient, inaccurate, and fail to ensure proper closure, leading to issues such as poor soundproofing, waterproofing, and safety concerns.
Innovation Solution
A method utilizing edge detection through a machine vision system, involving image filtering, gradient calculation, non-maximum suppression, and feature point matching with laser-marked points to accurately measure door gap width.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional detection methods are used, then the detection process is simple, but the detection accuracy and efficiency are insufficient
Solution Approach 1:
The patent replaces traditional mechanical measurement methods with a machine vision system that uses CCD cameras, laser line emitters, and computer processing systems to detect door gaps through image processing and edge detection algorithms
Solution Approach 2:
The patent introduces laser line emitters as intermediary elements that project reference lines onto the door gap, and uses these laser-marked images as intermediaries for feature point matching and distance calculation in the image processing system
2Productivity
If manual detection methods are used, then the equipment requirement is low, but the detection speed and automation are insufficient
Solution Approach 1:
The patent implements automatic detection where the system performs image acquisition, processing, edge detection, feature point matching, and distance calculation autonomously without manual intervention, achieving full automation in the door gap detection process
Solution Approach 2:
The patent enables continuous detection operation where the system can continuously capture images, process them through multiple algorithmic steps, and detect door gaps in real-time during vehicle assembly or inspection processes
3Reliability
If simple image processing is used, then the processing time is short, but the detection precision and reliability are insufficient
Solution Approach 1:
The patent performs preliminary image processing steps including gray conversion, filtering, and edge detection before the final distance calculation, preparing the image data in advance to improve the reliability and accuracy of the door gap measurement
Solution Approach 2:
The patent segments the image processing into distinct stages: gray conversion, filtering, edge detection using operators like Roberts or Canny, feature point extraction, and distance calculation, allowing each stage to be optimized independently
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
Enables quick, precise, and automatic detection of door gaps, reducing over-segmentation and false segmentation, and ensuring proper vehicle closure.
Implementation Method 1
a charge coupled device (CCD) camera
Implementation Method 2
a laser line emitter
Data Source
AI summary
This application provides a method for detecting a door gap of a vehicle body based on edge detection, including: detecting a vehicle body door gap image; performing image filtering; smoothing a filtered image, and calculating gradients and directions of the image to form a gradient image; performing non-maximum suppression on gradient magnitudes, and only retaining local maxima to obtain discrete points of a gradient edge contour image; giving a low threshold and a high threshold, marking points with gradient values greater than the high threshold as strong edge pixels, and anchor points in the image, and connecting the anchor points to form an edge image; and extracting a feature point of the edge image, matching the feature point with a laser-marked image window, finding a position perpendicular to the door gap, and calculating a Manhattan distance at the window to obtain a minimum for a width of the door gap.