Bag Weight Sensor for Theft Detection in Self-Checkout
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Solution Overview
Problem
Self-checkout systems in stores face challenges in detecting theft as customers can hide items in their own bags, increasing the risk of undetected theft, especially when using eco-bags that allow for concealing items underneath purchased items.
Innovation Solution
A theft detection system that includes a support for hanging bags equipped with a sensor to detect the weight of the bag and its contents, with a computer system comparing the detected weight to an expected weight based on scanned items, and communicating an alert when the weights are unequal, prompting store employees to inspect the bag or scrutinize the purchase.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If self-checkout solutions are implemented, then customer service efficiency is improved, but theft risk increases
Solution Approach 1:
The patent replaces manual inspection by store employees with an automated sensor-based weight detection system. Sensors mounted on bagging area surfaces continuously monitor weight changes, automatically detecting when items are placed in bags without being scanned. This mechanical substitution maintains productivity while improving reliability of theft detection.
Solution Approach 2:
The system implements real-time feedback by continuously comparing actual bag weight against expected weight calculations from scanned items. When discrepancies are detected, the system immediately alerts store employees through notifications or alarms, enabling rapid response to potential theft while maintaining efficient self-checkout operations.
2Ease of operation
If customers use their own bags, then convenience is improved, but theft detection difficulty increases
Solution Approach 1:
The system performs preliminary weight measurement by continuously monitoring the bagging area surface before items are concealed in bags. Weight changes are detected and recorded in real-time as items are placed in bags, creating a baseline of expected weight that can be compared against actual final weight. This preliminary action enables detection of concealed items regardless of bag type.
Solution Approach 2:
The patent replaces difficult visual inspection of bag contents with automated weight-based detection. Sensors mounted on the bagging area surface detect weight changes as items are placed in bags, eliminating the need to physically examine bag contents. This mechanical substitution maintains customer convenience while significantly improving detection capability.
3Measurement precision
If weight detection is performed continuously, then theft detection accuracy is improved, but energy consumption increases
Solution Approach 1:
The system uses periodic sampling of weight data rather than truly continuous monitoring. Sensors take weight measurements at regular intervals or trigger measurements when weight change exceeds a threshold, maintaining high detection accuracy while reducing overall energy consumption compared to constant high-rate sampling.
Solution Approach 2:
The system dynamically adjusts monitoring intensity based on activity levels. During active checkout periods, monitoring frequency increases to maintain high detection accuracy. During idle periods, the system reduces sampling rate or enters low-power mode, significantly reducing energy consumption while maintaining readiness to detect theft when needed.
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
Effectively detects theft in real-time by identifying discrepancies in weight, reducing the risk of undetected item theft and enhancing security at checkout and exit stations, ensuring customers pay for all items.
Implementation Method 1
A sensor coupled to an end of the support detects a weight of the bag and the items within the bag
Data Source
AI summary
A method includes supporting, by a support, a bag containing one or more items of an order and detecting, by a sensor coupled to an end of the support, a weight of the bag and the one or more items when the bag is suspended on the support such that the weight of the bag and the one or more items is exerted on the support. The method also includes comparing, by a hardware processor, the detected weight to an expected weight of the order and communicating, by the hardware processor, an alert when the expected weight is unequal to the detected weight.