Panoramic Image Recognition Visualization for Retail Planograms
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Solution Overview
Problem
Existing methods for tracking product placement in retail environments, such as planograms, are labor-intensive and prone to errors, especially when products are misplaced, and previous image processing techniques are inadequate in detecting stocking errors due to overwhelming amounts of information.
Innovation Solution
A system and method for visualizing image recognition results by creating a panoramic image with layered metadata, allowing for the identification and display of recognized products on shelves, racks, or displays, using a processing server and client device combination to capture, process, and present the information in a user-friendly format.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual tracking of product location and quantity is performed, then flexibility and adaptability are maintained, but labor intensity increases and productivity decreases
Solution Approach 1:
The patent replaces manual mechanical tracking with an automated image processing system that uses cameras, computers, and software to detect and track product locations and quantities on shelves, eliminating the need for manual inventory checks while maintaining tracking accuracy
Solution Approach 2:
The system enables self-service inventory monitoring where the image processing automatically detects product placements, identifies stocking errors, and provides feedback without requiring human intervention, allowing the retail environment to self-monitor compliance with planograms
2Productivity
If image processing is used to recognize products, then productivity increases, but information overload occurs making error detection difficult
Solution Approach 1:
The patent extracts only the most relevant information from image processing results by highlighting specific visual indicators for stocking errors, product mismatches, and planogram violations, filtering out unnecessary data to present only critical information that requires user attention
Solution Approach 2:
The system uses color-coded visual indicators to represent different types of stocking errors and product recognition results, making it easy for users to quickly identify and distinguish between various error types without having to parse through large amounts of text information
3Manufacturing precision
If detailed planograms are implemented, then manufacturing precision of product placement improves, but ease of operation deteriorates due to complexity
Solution Approach 1:
The patent implements a feedback mechanism where the image processing system continuously monitors product placements against planogram requirements and provides real-time visual feedback about compliance status, allowing employees to quickly identify and correct deviations from the planned product arrangements
Solution Approach 2:
The system introduces an intermediary automated monitoring layer between the detailed planograms and human employees, translating complex planogram specifications into simple visual cues that guide employees in maintaining proper product placements without requiring them to directly interpret complex planogram data
Data Source
AI summary
A system and method for image processing result visualization. The method includes receiving a job, wherein the job includes a panoramic image and image recognition information, and creating a visualization based on the job, wherein the visualization includes the panoramic image with the image recognition information layered over the panoramic image.