Commodity Sales Data Processing Device with Black Fiber Measuring Plate
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Solution Overview
Problem
Conventional self-measuring devices with imaging parts, such as cameras, face challenges in accurately recognizing the number of commodities due to unclear images, improper customer actions, and lack of guidance for correct placement, leading to errors in sales data generation and registration.
Innovation Solution
A commodity sales data processing device equipped with a measuring part, an imaging part, and a control part that registers commodities based on measured mass and image data, providing placing guidance to improve recognition rates and prevent operator input mistakes, featuring a measuring plate with black fibers to reduce light reflection and enhance image clarity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a camera-equipped self measuring device is used to automatically recognize commodities, then the operation convenience for customers is improved, but the reliability of commodity recognition deteriorates when images are unclear or placement is improper
Solution Approach 1:
The device provides feedback to customers by displaying the number of recognized commodities and comparing it with the mass measurement results. When discrepancies are detected, the system notifies customers to adjust their placement, creating a feedback loop that improves recognition accuracy while maintaining automatic operation convenience.
Solution Approach 2:
The system performs preliminary actions by automatically capturing images and measuring mass before final registration. The control unit compares these preliminary results and only registers commodities when both image and mass measurements agree, preventing erroneous registrations while maintaining ease of use.
2Measurement precision
If customers are guided through advertisements or stickers to place commodities centrally, then the recognition rate can be improved, but the ease of operation deteriorates due to additional customer tasks
Solution Approach 1:
The device performs self-service by automatically analyzing the position and orientation of commodities through image processing. The control unit determines whether a commodity is properly placed based on its image characteristics, eliminating the need for customers to manually adjust placement while maintaining high recognition accuracy.
Solution Approach 2:
The system replaces mechanical guidance (physical stickers or signs) with an automated optical-mechanical system that uses cameras and image processing algorithms to automatically determine proper placement, reducing customer burden while improving measurement precision.
3Adaptability or versatility
If manual operation input is required for sales type selection, then the adaptability to different sales scenarios is improved, but the reliability of sales data generation deteriorates due to operator mistakes
Solution Approach 1:
The control unit performs self-service by automatically determining the sales type (by number or by mass) based on the commodity characteristics and image analysis. This eliminates manual input requirements while maintaining adaptability to different sales scenarios, thereby improving both reliability and versatility simultaneously.
Solution Approach 2:
The system performs preliminary analysis of commodity characteristics and placement conditions before finalizing sales data generation. This preliminary action automatically determines the appropriate sales type, preventing operator mistakes while maintaining flexibility in handling different commodity types.
4Ease of manufacture
If the placing part has a simple surface, then the ease of manufacture is improved, but the imaging quality deteriorates due to light reflection
Solution Approach 1:
The placing part uses a black color treatment to change the optical properties of the surface. This black surface absorbs light and reduces reflections, improving image clarity captured by the camera while remaining simple to manufacture through standard coating processes.
Solution Approach 2:
The system converts the potentially harmful light reflection from the placing part surface into a beneficial effect by using a black coating. This black surface, which would normally absorb light, is specifically designed to minimize reflections that would interfere with image capture, thereby improving measurement precision while maintaining ease of manufacture.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The device ensures accurate commodity recognition and registration, preventing operator errors and generating reliable sales data by informing users of correct placement and displaying guidance, thus improving the recognition rate and ensuring correct sales data generation.
Implementation Method 1
an imaging part that images the commodity placed on the placing part
Implementation Method 2
a measuring part that measures a mass of the commodity placed on the placing part
Data Source
AI summary
A commodity sales data processing device that processes sales data relating to a commodity includes a memorizing part (such as a RAM 3) that memorizes commodity data including unit mass information of a commodity, an imaging part that images a commodity, a quantity specifying part that specifies the number of commodities based on the picture data taken by the imaging part, a measuring part that measures the mass of the commodity, a number calculating part that calculates the number of commodities based on the mass of the commodity measured by the measuring part and the commodity data memorized in the memorizing part, a judging part that judges whether or not the number of commodities specified by the quantity specifying part and the number of commodities calculated by the number calculating part match, and an informing part that informs the result of judgment by the judging part.