Imaging Device Native Job Setup for Pattern Matching
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Solution Overview
Problem
The process of configuring imaging-based data capture devices for object detection jobs is laborious and computationally demanding, often requiring manual intervention via external computer systems, which is time-consuming and prone to errors.
Innovation Solution
The method involves the data capture device entering a job setup mode to generate an aiming pattern, determine its position, identify a model region, and store model data for pattern matching, all without external computer system intervention, allowing local job configuration and updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual job configuration is performed via external computer system with backend software, then job setup can be completed with existing tools, but the process becomes laborious and time-consuming
Solution Approach 1:
The imaging device performs job configuration autonomously by capturing images, automatically identifying target objects and their features, generating model regions, and creating jobs without requiring manual intervention through external computer systems. The device serves itself by executing the entire configuration process internally.
Solution Approach 2:
The patent extracts the job configuration process from external computer systems and relocates it to the imaging device itself. By removing the dependency on backend software and host computers, the configuration process is performed directly on the device that will execute the job, eliminating the need for manual setup and reducing configuration time.
2Reliability
If comprehensive manual configuration is performed for pattern matching tools, then accurate job setup is achieved, but computational demand and time consumption increase significantly
Solution Approach 1:
The imaging device performs preliminary actions by automatically capturing images during operation, identifying target objects, determining their features, and generating model regions before the actual job execution. This preliminary automatic configuration ensures accuracy while eliminating the time-consuming manual setup process.
Solution Approach 2:
The patent replaces the mechanical manual configuration process (user interaction with backend software) with an automated image processing system. The device uses image capture and automatic object recognition algorithms to substitute the manual mechanical steps of positioning, identifying, and configuring job parameters.
3Adaptability or versatility
If dedicated host computer and backend software are used for job configuration, then comprehensive tool setup is possible, but device complexity and resource requirements increase
Solution Approach 1:
The imaging device is designed to perform multiple functions: it captures images for both operation and configuration, automatically identifies target objects, generates model regions, and creates jobs. This multi-functionality consolidates what previously required separate external systems into a single integrated device, maintaining versatility while reducing overall system complexity.
Solution Approach 2:
The patent merges the job configuration functionality with the imaging device itself. Instead of having separate external computer systems and backend software, the configuration capabilities are integrated directly into the device, combining multiple functions into a unified system that reduces complexity while maintaining adaptability.
Data Source
AI summary
Systems and methods are provided in which an imaging-based data capture device generates and updates its own object detection jobs. A job setup mode is entered directly on the imaging-based data capture device in response to a triggering event. Using an aiming pattern in a field of view, the device generates a model region corresponding to a portion of the image data. That model region is generated based on the position of the aiming pattern in the field of view. The device stores the model region in a job script, which it uses for pattern matching against images captured during a normal object scanning mode. Thus, the data capture device performs and deploys an entire object detection job setup sequence without using an external computer system or user interface software.