Store Camera Image Mapping for Accurate Equipment Identification
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Solution Overview
Problem
Existing techniques for surveillance of store equipment using camera images fail to accurately determine which equipment is included in the image, leading to uncertainty about the location of detected events such as stockout or foreign objects.
Innovation Solution
A processing apparatus and method that acquires camera images and uses layout information of equipment to determine which piece of equipment is included in the image, reducing the burden on human operators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a person manually views images, determines equipment included in each image, and inputs determination content, then equipment identification accuracy is improved, but labor burden increases
Solution Approach 1:
The system enables automatic equipment identification by having the image processing apparatus independently determine which equipment is included in each image by comparing image data with layout information, eliminating the need for manual determination and input by personnel
Solution Approach 2:
The manual mechanical process of viewing images and inputting determination content is replaced with an automated information processing system that uses image data and layout information to automatically identify equipment, substituting human labor with computational processes
2Productivity
If equipment surveillance is performed without determining which equipment is included in images, then processing speed is improved, but event location identification deteriorates
Solution Approach 1:
Layout information indicating equipment locations is prepared in advance before image processing, enabling the system to quickly match detected events with specific equipment by comparing image data against pre-stored layout information, thus maintaining high processing speed while achieving accurate event location identification
Data Source
AI summary
A processing apparatus includes at least one memory storing one or more instructions and at least one processor. The at least one processor is configured to execute the one or more instructions to acquire an image of a management target, where the image includes an object. The at least one processor is configured to execute the one or more instructions to further determine, based on layout information indicating locations of pieces of equipment installed in the management target and indicating a location of a marker installed in the management target, to which of the pieces of equipment the object included in the image is equivalent.