Image-Based Product Quantity Management for Time-Slot Cooking
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Solution Overview
Problem
Existing systems struggle to efficiently manage the number of products to be cooked in a store, particularly hot snacks like fried foods, considering expiration dates and sales patterns, making it difficult for employees to determine the right quantity to prepare.
Innovation Solution
A product management device that utilizes image acquisition, prediction models based on past sales data, and estimation algorithms to determine the number of products to be cooked for each time zone, outputting alerts for discard times and ingredient replacement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual monitoring and estimation of product quantities is used, then operational simplicity is maintained, but accuracy and efficiency of product quantity management deteriorates
Solution Approach 1:
The patent replaces manual mechanical monitoring and estimation methods with an automated image processing system. The camera captures images of products on shelves, and the processor automatically analyzes these images to determine product quantities, replacing the need for manual counting and estimation by employees.
Solution Approach 2:
The system enables self-service monitoring where the image processing system automatically tracks product quantities without requiring continuous human intervention. The camera continuously captures images, and the processor autonomously analyzes them to update product quantity records, allowing the system to manage itself without constant manual oversight.
2Productivity
If automated image processing system is implemented, then product quantity management efficiency is improved, but system complexity and initial costs increase
Solution Approach 1:
The image processing system serves multiple functions: it counts product quantities, determines product types, tracks inventory levels, and provides data for demand prediction. By consolidating these functions into a single integrated system, the patent reduces overall complexity compared to having separate systems for each function.
Solution Approach 2:
The system continuously captures images, processes them to determine product quantities, and feeds this information back to the management system. This feedback loop enables real-time updates of inventory records and triggers automated responses such as reordering alerts, improving efficiency through continuous monitoring and adaptive management.
3Reliability
If real-time monitoring of product expiration dates is implemented, then food safety and waste reduction are improved, but operational complexity increases
Solution Approach 1:
The patent replaces manual tracking of expiration dates with automated image recognition. The system captures images of products with their expiration date information, automatically reads and processes this data, and maintains real-time records without requiring employees to manually check and update expiration date information.
Solution Approach 2:
The system performs preliminary actions by continuously monitoring product expiration dates in advance. It identifies products approaching expiration before they become problematic, enabling proactive management such as prioritizing sales of near-expiration products or triggering advance reordering, thereby preventing waste and ensuring food safety.
Data Source
AI summary
A product management device includes an acquisition means for acquiring a discard time of a product based on a photographed image obtained by photographing the product displayed on a furniture and an expiration date of the product; a prediction means for predicting a sales quantity for each time zone based on a prediction model created using past sales quantity information of the product; an estimation means for estimating a number of products to be cooked for each time zone based on the discard time and the sales quantity of the product; and an output means for outputting the number of products to be cooked.


