Shelf Display Area Mapping for Automated Inventory Monitoring
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Solution Overview
Problem
Manual inspection of product display shelves in retail facilities is time-consuming and inefficient, leading to potential stockouts and increased operational costs.
Innovation Solution
An inventory management system that uses an image capture device to capture images of product display shelves, a computing device to detect individual packages and define product display areas, and an electronic database to store planograms and product identifiers, allowing for automated inventory tracking and replenishment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual inspection of product display shelves is performed, then inventory status can be determined, but time consumption and operational costs increase significantly
Solution Approach 1:
The patent replaces the manual mechanical inspection process with an automated image recognition system. Image capture devices (cameras) mounted on overhead structures automatically capture images of product display shelves, and image processing algorithms analyze these images to detect product packages, identify SKUs, and determine inventory status. This substitution eliminates the need for manual visual inspection by workers, dramatically reducing time consumption while maintaining or improving accuracy in inventory status determination.
Solution Approach 2:
The system enables the inventory monitoring process to serve itself automatically without human intervention. The image capture devices continuously or periodically capture shelf images, the processing system automatically analyzes product presence and inventory levels, and the system generates alerts when replenishment is needed. This self-service capability allows the retail facility to monitor inventory status continuously without requiring worker time for manual inspections.
2Reliability
If manual inspection of product display shelves is performed, then inventory status can be determined, but operational costs increase due to worker time allocation
Solution Approach 1:
The patent replaces the manual mechanical inspection process with an automated image recognition system. Image capture devices (cameras) mounted on overhead structures automatically capture images of product display shelves, and image processing algorithms analyze these images to detect product packages, identify SKUs, and determine inventory status. This substitution eliminates the need for manual visual inspection by workers, dramatically reducing time consumption while maintaining or improving accuracy in inventory status determination.
Solution Approach 2:
The system enables the inventory monitoring process to serve itself automatically without human intervention. The image capture devices continuously or periodically capture shelf images, the processing system automatically analyzes product presence and inventory levels, and the system generates alerts when replenishment is needed. This self-service capability allows the retail facility to monitor inventory status continuously without requiring worker time for manual inspections.
3Ease of operation
If products are not timely replenished on shelves, then operational simplicity is maintained, but sales loss occurs due to out-of-stock status
Solution Approach 1:
The patent implements a feedback mechanism where the image recognition system continuously monitors inventory levels and provides real-time information about product availability. When the system detects that a product's inventory level has dropped below a predetermined threshold or that a product is out of stock, it generates an alert and notifies the appropriate personnel through the notification system. This feedback loop ensures timely replenishment actions are taken, maintaining product availability while keeping the operational process simple and automated.
Solution Approach 2:
The system performs preliminary detection and alerting before complete stockout occurs. By continuously monitoring inventory levels and generating replenishment alerts when products approach out-of-stock conditions, the system enables proactive replenishment actions. This preliminary action prevents actual stockouts and sales losses while maintaining simple automated operation throughout the process.
Data Source
AI summary
Methods and systems for managing inventory at a retail facility include an image capture device having a field of view that includes a product display shelf of the retail facility, an electronic database that stores a planogram of product display shelves at the retail facility and a computing device. The computing device obtains an image of a product display shelf, detects the individual packages of each of the different products captured in the image, defines different product display areas for the different products on the product display shelf captured in the image, and generates virtual boundary lines that surround each of the defined product display areas. The computing device also determines an identity of a product contained located in each defined product display area, and associates the virtual boundary lines surrounding each defined product display area with an identifier unique to the product contained in the defined product display area.