Product information generating system
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Solution Overview
Problem
Maintenance service providers struggle to suggest maintenance for products not previously registered in their systems, as they cannot efficiently identify the location of such products without manual field investigations.
Innovation Solution
A product information preparation system that uses image data correlated with position information to recognize and locate unregistered products, preparing maintenance suggestions based on aerial and sidewise landscape images, and classifying products by maker, model, year of manufacture, refrigerant type, and deterioration level.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual field investigation is used to identify product locations, then product information can be obtained, but investigation efficiency is low and omissions occur
Solution Approach 1:
The patent replaces manual field investigation (mechanical human operation) with an automated image recognition system that processes aerial and sidewise images to identify product locations, thereby eliminating the inefficiency of manual investigation while maintaining accurate product location detection
Solution Approach 2:
The patent creates a virtual representation of the physical environment by capturing aerial and sidewise images of the landscape, then uses image recognition to extract product location information from these visual copies, eliminating the need for physical field investigation
2Adaptability or versatility
If products not registered in the system are targeted, then maintenance service coverage is expanded, but product location identification becomes difficult
Solution Approach 1:
The patent creates a universal image recognition system that can identify any product in the landscape regardless of whether it is registered in the maintenance system, enabling the system to serve both registered and unregistered products through the same product location identification mechanism
Solution Approach 2:
The system enables unregistered products to be automatically identified and included in maintenance service coverage through autonomous image recognition, without requiring manual registration or prior system knowledge of the product's existence
Data Source
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AI summary
Provided is a product information preparation system that readily locates a product even when the management of the product is not previously commissioned, and readily makes, for example, a suggestion to perform maintenance of the product. The information preparation system (100) includes the acquisition unit (64), the recognition unit (66), and the preparation unit (68). The acquisition unit acquires image data on a landscape, the image data being correlated with position information. The recognition unit recognizes an image of a target product in the image data acquired by the acquisition unit. The preparation unit identifies a position where the target product recognized by the recognition unit is installed, based on the position information correlated with the image data and to prepare product information on the target product, the product information containing information on the position where the target product is installed.