Touchless Gesture Assistance System for Retail Hygiene
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Solution Overview
Problem
In retail environments, customers face challenges in accessing assistance without physical contact, as traditional help buttons are unhygienic and alternative touchless methods like QR codes or apps are limited by technology access and location specificity.
Innovation Solution
A touchless gesture recognition system comprising sensors and software that distinguish desired gestures from unwanted ones, allowing customers to request assistance through hand movements, with optional display and notification features, and battery operation to minimize staff and hygiene concerns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional help buttons are used, then customers can easily request assistance, but the buttons become unhygienic due to frequent touching by multiple customers
Solution Approach 1:
The patent replaces the mechanical button-pressing system with an optical gesture recognition system. Sensors detect hand wave gestures in the air without physical contact, eliminating the mechanical touch interface while maintaining the ability to trigger assistance requests. This substitution resolves the contradiction by preserving ease of operation through simple gestures while eliminating hygiene contamination from surface contact.
2Object-affected harmful factors
If QR codes or mobile apps are used for touchless assistance, then hygiene is improved, but accessibility is limited to customers with smartphones and technical knowledge
Solution Approach 1:
The gesture recognition device provides a universal interface that works for all customers regardless of their familiarity with technology. The system detects natural hand wave gestures that any person can perform, making the assistance request mechanism universally accessible. This multi-functional approach combines touchless operation with universal accessibility, resolving the contradiction between hygiene improvement and ease of operation.
3Speed
If gesture recognition sensors are continuously active, then gesture detection is immediate, but battery life is reduced
Solution Approach 1:
The system implements periodic sampling of the detection zone rather than continuous monitoring. The sensors periodically check for the presence of hands and only activate full gesture recognition when a hand is detected in the zone. This periodic action maintains immediate response capability for genuine gestures while dramatically reducing battery consumption during idle periods.
Solution Approach 2:
The system performs preliminary detection using low-power sensors to identify when a hand enters the detection zone before activating the full gesture recognition system. This preliminary action filters out false gestures and prepares the system in advance, ensuring rapid response to valid gestures while minimizing energy consumption during normal operation.
4Ease of operation
If the detection zone is wide to capture all customer gestures, then accessibility is improved, but false gestures from background movements are increased
Solution Approach 1:
The system applies different detection sensitivities to different spatial zones. The primary detection zone has high sensitivity to capture customer gestures, while surrounding areas have lower sensitivity to filter background movements. This local differentiation of detection quality maintains accessibility within the service area while eliminating false alarms from peripheral movements.
Solution Approach 2:
The system uses feedback from multiple sensor inputs to verify genuine gestures. When a gesture is detected, the system analyzes patterns across multiple sensors and time points to confirm it is a deliberate customer action rather than background movement. This feedback mechanism improves reliability while maintaining an accessible detection zone.
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
Enables customers to request assistance hygienically and efficiently, reducing false alarms and extending battery life through low-power secondary sensors, while allowing remote configuration and notification via existing communication methods.
Implementation Method 1
at least one sensor, once activated, detects certain gestures within the set of gestures, including at least one selected from the group consisting of moving a hand from left to right, moving a hand from right to left, moving a hand orthogonal from the right to left motion, moving a hand orthogonal to the left to right motion
Data Source
AI summary
A system for allowing an individual to request assistance in a retail environment, the system comprising: (a) providing a physical device comprising at least one sensor, wherein the at least one sensor is capable of recognizing a set of gestures; (b) providing software to distinguish unwanted gestures from desired gestures within the set of gestures; (c) providing a means of communicating a notification to store associates within the retail environment; and (d) providing a means of resetting or canceling the request for assistance. Alternatively, the device may house a low power secondary sensor that is capable of detecting motion and/or the heat signature of a human hand.