Customer Selection Determination System Using Gesture Recognition
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Solution Overview
Problem
In physical merchant locations, customers often struggle to select products that are physically inaccessible, leading to error-prone and time-consuming interactions for both customers and merchants due to the need for merchants to guess the selected items.
Innovation Solution
A system utilizing beacon devices and customer devices to automatically determine the product or product identifier a customer is pointing at, using communication systems like BLE and cameras for gesture recognition, and referencing a database of product locations to provide accurate selection information to both parties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If products are placed behind store windows or in display cases to protect them or improve display, then product security and display quality are improved, but customer accessibility and selection accuracy deteriorate
Solution Approach 1:
The patent introduces an intermediary system consisting of cameras, processors, and computing devices that mediate between the customer and the protected products. The system captures images of customer gestures, processes them to identify selected products, and communicates the selection to the merchant without requiring physical access to the products behind display cases or store windows.
2Device complexity
If merchants manually guess customer selections from inaccessible products, then no additional hardware is needed, but time consumption and error rates increase
Solution Approach 1:
The patent replaces the mechanical/manual system of guessing customer selections with an automated optical recognition system. Cameras capture images of customer gestures, processors analyze the images to determine which products are selected, and the system communicates the results automatically, eliminating the time-consuming and error-prone manual guessing process.
3Device complexity
If merchants manually determine customer selections, then system complexity is low, but measurement precision and selection accuracy deteriorate
Solution Approach 1:
The patent introduces an intermediary system consisting of cameras, processors, and computing devices that mediate between the customer and the protected products. The system captures images of customer gestures, processes them to identify selected products, and communicates the selection to the merchant without requiring physical access to the products behind display cases or store windows.
Solution Approach 2:
The patent replaces the mechanical/manual system of guessing customer selections with an automated optical recognition system. Cameras capture images of customer gestures, processors analyze the images to determine which products are selected, and the system communicates the results automatically, eliminating the time-consuming and error-prone manual guessing process.
Data Source
AI summary
Systems and methods for determining a customer selection include receiving customer location information from at least one beacon device of a plurality of beacon devices that are located in a physical merchant location. The customer location information is collected by the at least one beacon device from a customer device that is associated with a customer. Customer selection indication data that is indicative of at least one physical gesture made by the customer is also received, and may be collected, for example, by cameras, object detection devices, communications between customer devices, etc. The customer location information and the customer selection indication data is then analyzed to determine a first product location in the physical merchant location that the customer is selecting, and a first product that is associated with the first product location in a database is determined. Information about the first product may then be sent to the customer device.