Barcode Reader Vision Camera Object Tracking via Indicia Decoding
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Indicia decoding devices often struggle to coordinate actions between machine vision elements and decoding subsystems, particularly when multiple objects are present, leading to ambiguity and potential errors in object analysis.
Innovation Solution
The method involves using a first optical imaging assembly for indicium decoding and a second optical imaging assembly for machine vision, where the decoded indicium is used to locate and track objects in the machine vision field of view, enabling accurate identification and analysis of objects associated with the indicium.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If separate machine vision and decoding subsystems are used, then object detection capability is improved, but coordination between subsystems deteriorates
Solution Approach 1:
The patent combines the machine vision subsystem and decoding subsystem into an integrated system where both functions operate within a single device framework. The processor coordinates both the object detection algorithms and indicium decoding operations, enabling seamless interaction between the two previously separate subsystems while maintaining their distinct functional capabilities.
Solution Approach 2:
The integrated system performs multiple functions including object detection, indicium decoding, and coordinate mapping within a single device. The processor is configured to handle both machine vision processing and barcode/indicium decoding operations, making the device universal in its capabilities rather than requiring separate specialized devices for each function.
2Measurement precision
If high resolution machine vision imagery is captured, then object analysis accuracy is improved, but processing speed deteriorates
Solution Approach 1:
The system performs preliminary coordinate mapping by detecting indicium positions in the high-resolution machine vision image before proceeding to detailed object analysis. The processor identifies indicium locations and creates a coordinate mapping framework in advance, which then guides subsequent analysis operations to focus computational resources on relevant regions rather than processing the entire high-resolution image uniformly.
Solution Approach 2:
The patent segments the image processing task by separating indicium detection from general object analysis. The system first identifies and locates indicia within the high-resolution image, then uses these detected positions to guide further analysis of specific objects of interest. This segmentation allows the system to maintain high resolution for accurate indicium detection while reducing processing load by focusing detailed analysis only on relevant segmented regions.
Data Source
AI summary
Methods, systems, and devices for locating and tracking an object in a machine vision field of view based upon an affixed indicium visible in an indicium decoding field of view are provided herein. An example method for object tracking includes receiving, from a first optical imaging assembly having a first field of view (FOV), a first image captured over the first FOV, receiving, from a second optical imaging assembly having a second FOV, a second image captured over the second FOV, decoding an indicium in the first image, detecting at least a portion of the indicium in the second image, and identifying an object of interest associated with the indicium in the second image based upon a location of the at least the portion of the indicium in the second image.