Object Prediction Application for Barcode-Free Produce Identification
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Solution Overview
Problem
Conventional data capturing systems are not bi-directional, limiting their ability to process and identify objects without easily decodable information, such as barcodes, and often require manual navigation through product listings.
Innovation Solution
A system comprising a data capture device with an imaging assembly and an object prediction application that generates object candidate data, which is then transmitted to a selection application on a host device for user interaction and identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If object identifying applications are used to identify objects without barcodes, then object identification capability is improved, but host device compatibility deteriorates because host devices are not configured to read the output from these applications
Solution Approach 1:
The patent introduces an intermediary translation layer that converts object identifying application output into a format readable by the host device. This mediator component enables communication between the object identification system and the host device without requiring modifications to the host device's core configuration, thus resolving the compatibility issue while maintaining enhanced object identification capabilities.
Solution Approach 2:
The system is divided into separate functional modules: an object identifying application layer for advanced object recognition, a translation/interfacing layer for format conversion, and the host device layer for transaction processing. This segmentation allows each component to operate independently with well-defined interfaces, enabling the host device to work with multiple object identification applications without requiring complex reconfiguration.
2Device complexity
If manual navigation through product listings is required to identify objects, then system simplicity is maintained, but user time and productivity deteriorate
Solution Approach 1:
The object identifying application performs preliminary object identification and candidate generation before the user needs to select an item. By pre-processing the identification task and presenting a narrowed-down list of candidates, the system reduces the user's workload and time requirement while maintaining a simple interaction model where the user still makes the final selection from presented options.
3Device complexity
If conventional data capturing systems are used, then device simplicity is maintained, but ability to process objects without easily decodable information deteriorates
Solution Approach 1:
The patent implements a universal interface layer that enables the host device to work with both conventional barcode-based objects and complex objects requiring image-based identification. This multi-functional interface handles different data formats and object types uniformly, allowing the system to process diverse objects without requiring separate specialized systems, thus enhancing versatility while maintaining relative structural simplicity.
Data Source
AI summary
Methods and systems to remove the integration with POS applications for produce applications are disclosed herein. A system may include a data capture device; an object prediction application and/or a selection application executing on a host device communicatively connected to the data capture device. The selection application may be configured to: receive object candidate data, present a selection user interface via an interactive display of the host device, display, via the selection user interface, the object candidate data, receive one or more object selections of the object candidate data from a user, generate object identifier data for each of the one or more object selections, and/or transmit the object identifier data to the register log application.