Optical Sensor Item Detection and Listing Automation
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Solution Overview
Problem
The process of identifying and listing returned retail items or unknown items for resale is time-consuming and challenging due to the need to manually identify each item and format data according to different online listing channels.
Innovation Solution
An optical sensor-based system that processes optical data to identify items, determines associated data, and reformats it into multiple versions tailored for different listing channels, facilitating automated listing creation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual item identification and data formatting is used, then accuracy of item identification can be maintained, but time consumption and labor effort increase significantly
Solution Approach 1:
The patent replaces manual mechanical identification processes with an optical sensor-based automated identification system. The optical sensor captures images of items, and image processing algorithms automatically identify items and extract data, eliminating the need for manual visual inspection and data entry while maintaining high identification accuracy.
Solution Approach 2:
The system enables self-service item identification and listing creation. The automated image processing and data formatting capabilities allow the system to independently identify items, retrieve relevant data, and generate listing content without human intervention, significantly reducing time consumption while maintaining accuracy through algorithmic processing.
2Adaptability or versatility
If manual data formatting for different listing channels is performed, then customization for each channel can be achieved, but productivity decreases due to repetitive formatting tasks
Solution Approach 1:
The patent implements a universal data formatting system that can adapt to multiple listing channels simultaneously. The automated formatting engine applies channel-specific templates and requirements to item data automatically, enabling the system to handle diverse listing platforms (e.g., eBay, Amazon, Etsy) with a single unified process, thereby maintaining adaptability while dramatically improving productivity.
3Productivity
If automated optical sensor-based identification is implemented, then processing speed increases, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary image processing layer between the optical sensor and the identification system. The optical sensor captures raw images, which are then processed through automated image processing algorithms that extract relevant features and identify items. This intermediary processing layer simplifies the overall system architecture by handling complex image analysis tasks automatically, enabling high processing speed while managing system complexity through modular design.
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
The system significantly reduces the time and effort required for item identification and listing, enabling efficient processing of multiple items and automatic adaptation to various online listing formats.
Implementation Method 1
processing optical data from an optical sensor to identify an item
Data Source
AI summary
Apparatuses, systems, methods, and computer program products are disclosed for optical sensor based item detection and listing. A method includes processing optical data from an optical sensor to identify an item. A method includes determining data associated with an identified item. A method includes reformatting data to create multiple versions of the data, each of the multiple versions of the data associated with a different listing channel for an identified item.