Mobile Photo Listing Generation With ML Image Analysis
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Solution Overview
Problem
The traditional process of generating listings for publication platforms is inefficient, particularly when dealing with multiple items and pictures, as it involves multiple operations on a computing device, which can strain resources like processor cycles, network traffic, and memory usage.
Innovation Solution
A method utilizing a mobile device's native photo application and machine learning to automatically generate listing content by analyzing images, allowing seamless integration between the device's photo-sharing capabilities and the publication application, enabling simultaneous photo capture and listing creation with real-time processing and customizable grouping options.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the traditional multi-application process is used for generating listings, then the listing can be created with basic functionality, but the device resources (processor cycles, network traffic, memory usage) are excessively consumed and the process is inefficient
Solution Approach 1:
The patent combines multiple separate applications (photo capture, image retrieval, product details input, listing upload) into a single integrated native application. This unified approach allows the system to perform all listing generation operations within one application context, eliminating the need to switch between multiple applications and reducing overall resource consumption while improving productivity
Solution Approach 2:
The native application is designed to perform multiple functions: capturing photos, retrieving images, extracting product details, and uploading listings all within a single application. This multi-functional design consolidates what previously required separate applications, reducing the cumulative resource usage across multiple applications while maintaining comprehensive listing generation capability
2Ease of operation
If multiple applications are used sequentially for listing generation, then each application can be optimized for its specific function, but the overall process time increases due to multiple operations and transitions
Solution Approach 1:
By merging all listing generation functions into a single native application, the system eliminates the time required to switch between multiple applications. Users can capture photos, review images, input product details, and upload listings all within one continuous workflow, significantly reducing the total process time compared to sequential application usage
3Productivity
If the traditional process is used, then basic listing generation is possible, but it cannot handle high volumes of items and pictures efficiently
Solution Approach 1:
The patent implements segmentation by allowing users to organize photos into groups that correspond to individual listings. This segmentation feature enables the system to process high volumes of images by dividing them into manageable units (groups), where each group can be independently handled as a single listing entity, making the system scalable for large volumes of items
Solution Approach 2:
The unified native application merges all operations (photo capture, image management, product details extraction, listing creation, and upload) into a single integrated workflow. This consolidation allows the system to handle high volumes of items and pictures more efficiently by processing them through one cohesive system rather than coordinating multiple separate applications
Data Source
AI summary
A system and method for generating a listing is described. A computer-implemented method includes detecting, at a photo application native to an operating system of a mobile device, a selection of one or more images generated with a camera of the mobile device, detecting a selection of a client publication application installed on the mobile device using a user interface of the photo application, in response to detecting the selection of the client publication application, identifying characteristics of an item depicted in the one or more images, and generating one or more listings based on the characteristics of the item depicted in the one or more images.