POS Scan Activity Detection Using Optical Image Thresholds
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Solution Overview
Problem
Existing POS systems struggle to accurately detect unsuccessful barcode scans at the point of sale, particularly when items are swiped over the scanner window without being properly scanned.
Innovation Solution
Implementing an optical sensor device on the POS system to capture successive images and analyze consumer interaction, using image processing techniques to differentiate between successful and unsuccessful barcode scans by comparing current and previous images, and determining activity thresholds to confirm a scan has occurred.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional barcode scanning methods are used, then the checkout process is simple and fast, but the system cannot accurately detect unsuccessful scans when items are swiped over the scanner window
Solution Approach 1:
An optical sensor device is introduced as an intermediary component between the barcode scanner and the processing system. This sensor captures images of items passing through the scanner window, providing visual evidence to confirm whether a scan actually occurred. The optical sensor acts as a mediator that bridges the gap between the scanning action and the detection confirmation, enabling accurate detection of unsuccessful scans without fundamentally redesigning the entire POS system.
Solution Approach 2:
The patent replaces reliance on mechanical scanning confirmation (physical detection of scan events) with optical sensing and image processing. Instead of depending solely on the scanner's internal detection mechanisms, the system uses an optical sensor to capture images and analyzes these images to determine whether an item was properly scanned. This substitution of mechanical detection with optical sensing enables more accurate detection of scan success while maintaining system simplicity.
2Reliability
If image processing is implemented to detect scan success, then false positives and negatives are reduced, but processing time and computational resources increase
Solution Approach 1:
The image processing system does not perform exhaustive analysis on every captured image. Instead, it applies selective processing based on detected activity thresholds - only processing images when motion or positional changes indicate a potential scan event. This partial action approach processes only the necessary subset of images, reducing overall processing time while maintaining high reliability in confirming successful scans by focusing computational resources on relevant moments.
Solution Approach 2:
The system performs preliminary filtering of captured images using activity thresholds before conducting full image processing. By pre-screening images to identify only those containing relevant activity (item movement through the scanner window), the system prepares data in advance for more efficient processing. This preliminary action reduces the volume of data requiring detailed analysis, thereby decreasing processing time while preserving scan confirmation reliability.
3Measurement precision
If successive images are captured and analyzed, then unsuccessful scans are detected, but the device complexity and cost increase
Solution Approach 1:
The optical sensor device serves multiple functions within the POS system: it captures images for unsuccessful scan detection, monitors item movement through the scanner window, and provides visual confirmation of scanning events. By making this single component multi-functional, the patent reduces the need for separate specialized devices for each function, thereby detecting unsuccessful scans accurately while minimizing the increase in overall hardware complexity and cost.
Solution Approach 2:
The system uses the optical sensor to capture images that inherently contain the information needed for detection - the images themselves provide the evidence of item presence and movement. The processing circuit analyzes these self-contained images to determine scan success without requiring additional external sensors or complex hardware additions. This self-service approach enables unsuccessful scan detection using existing image data, reducing the need for extra hardware components.
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
Enhances the accuracy of barcode scan detection by reducing false positives and negatives, ensuring timely confirmation of successful scans.
Implementation Method 1
an optical sensor device disposed on or about the POS system and positioned so that a field of view of the optical sensor device is towards the scan platform. The optical sensor device is operable to capture successive images
Data Source
AI summary
Systems and methods of detecting activity at point of sale are provided. In one exemplary embodiment, a method is performed by a POS system having first and optical scanner devices. The optical sensor device is positioned on or about the POS system with a field of view directed towards a first spatial region of the POS system and operable to capture successive images. The optical scanner device is positioned on or about the POS system with a field of view directed towards a second spatial region disposed within the first spatial region and associated with scanning visual object identifier codes disposed on objects and operable to scan those visual object identifier codes. The method includes receiving, from the optical sensor device, a set of successive images associated with the first spatial region to enable detection of activity in or about the second spatial region.