Symbol-Based Optical Code Decoding via Signal Fitting
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Solution Overview
Problem
Existing optical code decoding methods are prone to errors due to noise and require intermediate steps like binary image reconstruction, which can be unreliable, especially in less-than-ideal scanning conditions.
Innovation Solution
A symbol-based decoding technique that directly determines encoded information from optical codes using a decoding model and a greedy algorithm, eliminating the need for intermediate steps like binary image reconstruction, and incorporates edge detection to reduce noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional decoding methods with intermediate binary image reconstruction steps are used, then the decoding process follows conventional workflows, but decoding accuracy deteriorates due to noise and unreliable intermediate reconstruction
Solution Approach 1:
The patent extracts and eliminates the problematic intermediate binary image reconstruction step from the conventional decoding workflow. By directly mapping optical code symbols to decoded information without requiring perfect binary reconstruction, the method removes the source of noise amplification and reconstruction errors, thereby improving both decoding accuracy and reliability under noisy scanning conditions
Solution Approach 2:
The patent introduces a probabilistic symbol matching model as an intermediary between the raw optical signal and the final decoded information. This intermediary layer uses statistical methods to handle noise and uncertainty, mapping symbols to likely encoded characters even when the signal is degraded, thus improving reliability without sacrificing accuracy
2Ease of operation
If intermediate binary image reconstruction steps are included in the decoding process, then conventional decoding workflows are maintained, but the process complexity increases and reliability decreases
Solution Approach 1:
The patent removes the complex intermediate binary image reconstruction step from the decoding pipeline. By directly processing the optical signal through symbol matching to decoded information, the method simplifies the overall process while maintaining conventional workflow compatibility, reducing processing complexity without compromising ease of operation
Solution Approach 2:
Instead of following the conventional forward approach (optical signal → binary reconstruction → decoding), the patent inverts the logic by directly mapping optical symbols to decoded characters through probabilistic matching. This inverted approach eliminates unnecessary intermediate steps, simplifying the process while improving reliability
3Measurement precision
If edge detection is not used, then the decoding model processes raw signals directly, but noise reduction is insufficient and accuracy decreases
Solution Approach 1:
The patent applies edge detection as a preliminary action before the main symbol matching process. By detecting edges and identifying symbol boundaries in advance, the method prepares a cleaner, more structured input for the decoding model, improving symbol fitting accuracy while reducing the impact of noise interference on the final decoding result
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
This approach provides a more reliable and robust method for decoding optical codes, even in noisy conditions, by directly fitting the acquired signal to expected symbols, reducing errors and improving accuracy.
Implementation Method 1
acquiring a signal representative of light reflected from an optical code
Data Source
AI summary
Techniques and systems for decoding optical codes using symbol-based algorithms are described. In one example, a method includes acquiring a signal representative of light reflected from an optical code comprising one or more symbols of a finite set of symbols and applying a decoding model to the signal. The decoding model may relate measured signals to the finite set of symbols, such that each of the symbols of the finite set of symbols are associated with a respective encoded character of a finite set of encoded characters. The method may also include determining, by a processor, a sequence of one or more of the encoded characters based on the application of the decoding model to the signal. In this manner, the optical code may be decoded by directly fitting an acquired signal from the optical code to possible symbols within the optical code and the associated encoded characters.