Key Bitting Code Recognition Using Backlight and Side Imaging
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Solution Overview
Problem
Existing key tooth profile code recognition technologies rely on purely mechanical methods, resulting in low recognition efficiency and a high risk of key loss.
Innovation Solution
A method and device that use a back light source and/or side light sources to acquire images of the key, allowing for recognition of the tooth profile code without mechanical contact, utilizing image acquisition modes tailored to different key types and featuring image correction and feature point positioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If purely mechanical methods are used to measure key tooth profile parameters, then the recognition process is simple to implement, but the recognition efficiency is low and key loss occurs
Solution Approach 1:
The patent replaces the purely mechanical measurement system with an optical imaging system. A camera captures images of the key tooth profile, and image processing algorithms extract the profile parameters. This substitution eliminates mechanical contact between the measurement device and the key, preventing key wear and loss while significantly improving recognition efficiency through automated image analysis.
Solution Approach 2:
The patent creates an optical copy (image) of the key tooth profile instead of physically measuring it. The camera captures a visual representation of the key, and digital image processing techniques are used to analyze the tooth profile parameters from this copy. This approach allows multiple measurements without physical contact, eliminating key loss risk while maintaining high recognition efficiency.
2Measurement precision
If multiple light sources are used to acquire key images, then the image quality and recognition accuracy improve, but the device complexity increases
Solution Approach 1:
The patent divides the illumination system into multiple independent light sources positioned at different locations and orientations. Each light source illuminates the key from a specific angle, and the camera captures images under these different lighting conditions. This segmentation allows the system to highlight different features of the tooth profile, improving recognition accuracy while keeping each individual light source simple.
Solution Approach 2:
The patent applies different lighting conditions to different regions of the key tooth profile by positioning light sources at specific angles. Each light source provides localized illumination that emphasizes particular features of the tooth profile, enabling the image processing system to extract more accurate measurements. This local quality approach improves measurement precision without requiring a uniformly complex lighting system.
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
Improves recognition efficiency and accuracy, reduces key wear, and simplifies the operation by eliminating the need for professional skills, while enhancing image processing with highlighted key tooth profile information.
Implementation Method 1
using a back light source and/or side light source to acquire an image of a key to be recognized
Data Source
AI summary
Disclosed is a method for recognizing a bitting code of a key. The method comprises: using a back light source and/or a lateral light source to collect an image of a key to be recognized; and recognizing, on the basis of the image, a bitting code of the key to be recognized. Further disclosed are an apparatus for recognizing a bitting code of a key, and a storage medium and an image collection device. The present disclosure can improve the efficiency of recognizing a bitting code of a key and reduce the wear of the key during a recognition process.