Identification Code Detection With Targeted Sampling and Decoding
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Solution Overview
Problem
Existing identification code technologies face inefficiencies due to the need to process large, complex images with small codes or those containing interference, leading to prolonged processing times and reduced identification efficiency.
Innovation Solution
A method and apparatus that first detect the position of the identification code within an image, then sample and decode only the target code, using image super-resolution reconstruction technology and neural networks to enhance resolution as needed, thereby reducing interference from non-code regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the entire to-be-detected picture is processed for identification code detection, then the identification code can be detected, but the processing time increases significantly due to large image size and interference information
Solution Approach 1:
The patent divides the image processing task into two stages: first detecting the identification code position using the entire image, then sampling only the relevant code region for detailed processing. This segmentation isolates the small identification code area from the large background, reducing processing time while maintaining detection accuracy.
Solution Approach 2:
The patent extracts only the identification code region from the entire image for detailed sampling and decoding operations. By taking out only the necessary code portion rather than processing the complete image, the system reduces computational burden and processing time while preserving identification accuracy.
2Measurement precision
If the entire to-be-detected picture is processed for identification code detection, then the identification code can be detected, but the identification efficiency decreases due to interference information in non-code regions
Solution Approach 1:
The patent segments the image into the identification code region and non-code regions, then processes only the code region for detailed analysis. This segmentation eliminates interference information from non-code regions, improving identification efficiency while maintaining detection accuracy.
Solution Approach 2:
The patent extracts and processes only the identification code region, removing interference information from non-code regions from the processing pipeline. This extraction improves identification efficiency by focusing computational resources only on the relevant code area.
3Measurement precision
If the identification code is sampled at original resolution, then the code can be decoded, but the resolution may be insufficient for accurate identification
Solution Approach 1:
The patent changes the resolution parameter of the identification code through upsampling operations. By increasing the resolution of the sampled code region using super-resolution reconstruction technology, the system improves identification accuracy without requiring the entire image to be processed at high resolution, thus managing processing complexity.
Solution Approach 2:
The patent applies partial upsampling only to the identification code region rather than the entire image. This partial excessive action (upsampling only where needed) improves identification accuracy for the code region while avoiding the excessive processing complexity that would result from upsampling the entire large image.
Data Source
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AI summary
This application relates to a method and apparatus, a device, and a storage medium for identifying an identification code. Wherein obtaining a to-be-detected picture; detecting an identification code in the to-be-detected picture to obtain a detection result, the detection result including target information of a target code corresponding to the identification code; sampling the target code according to the target information, to obtain a sampled image; and decoding the sampled image, to obtain an identification result corresponding to the identification code. After the to-be-detected picture is obtained, operations such as sampling and decoding are not performed directly on the entire to-be-detected picture. Instead, the entire picture is detected first, to obtain a detection result for the identification code, the detection result including the target information of the target code corresponding to the identification code. Then, the operations such as sampling and decoding are performed on the target code. In this way, interference on a non-identification code region in the to-be-detected picture can be reduced, and the identification efficiency of the identification code can be improved.