Scanning Device Aimer Calibration via Motion Transform Correlation
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Solution Overview
Problem
Factory-calibrated aiming components in scanning devices are only suitable for capturing image data within a predefined tolerance, leading to inaccuracies and inefficiencies when objects with barcodes are moved closer or further away, or when the scanning device undergoes lateral and rotational movements.
Innovation Solution
The calibration of an aiming position is achieved through the correlation of a known aimer pattern within two images, allowing for improved center decode accuracy by detecting the aimer pattern after decoding and correlating its location with the decoded barcode.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If factory pre-calibration of aiming components is used, then initial setup is simple and quick, but decoding accuracy deteriorates when objects are moved closer or further away or when the scanning device undergoes lateral and rotational movements
Solution Approach 1:
The system performs preliminary action by capturing an image of the aimer pattern before barcode decoding, and uses this captured position information to dynamically adjust the aiming components' calibration. This preliminary capture and correlation process enables the system to adapt to different object distances and device orientations, resolving the contradiction between simple initial setup and maintained decoding accuracy under varying conditions.
2Device complexity
If factory pre-calibration with predefined tolerance is used, then device complexity is reduced, but productivity deteriorates due to repeated failed scanning attempts
Solution Approach 1:
The system implements feedback by capturing the aimer pattern position, comparing it with the decoded barcode position, and using this feedback information to dynamically adjust the aiming components' calibration. This closed-loop feedback mechanism enables the system to adapt to varying object distances and device orientations, significantly improving the successful barcode decoding rate without substantially increasing device complexity.
3Measurement precision
If dynamic calibration based on aimer pattern detection is implemented, then barcode decoding accuracy is improved, but processing time increases due to additional image analysis
Solution Approach 1:
The system performs preliminary action by capturing the aimer pattern in the same image frame as the barcode, rather than requiring separate calibration and scanning operations. This preliminary capture of positioning information allows the system to perform correlation and adjustment calculations efficiently, improving aiming position accuracy while minimizing additional processing time through optimized image analysis algorithms.
Data Source
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AI summary
Various embodiments described herein relate to calibration for scanning device decoding based on aimer pattern detection. In this regard, a first image frame captured using a scanning device is decoded. The first image frame is related to an object associated with a barcode. Additionally, a second image frame related to the object associated with the barcode is capture using the scanning device. The second image frame comprises an aimer pattern generated by an aimer of the scanning device. A location of the aimer pattern in the second image frame is determined based on a motion transform correlation between the barcode in the first image frame and the aimer pattern in the second image frame. Additionally, an aiming position of the aimer is calibrated based on the location of the aimer pattern determined by the motion transform correlation.