Gold label card detection method and reader based cloud computation network platform

Abstract

The invention discloses a gold label card detection method and reader based on a cloud computation network platform. The gold label card detection method includes the following steps: image information of a gold label card is acquired; the information is uploaded to a remote server; the remote server analyzes a T line and a C line of the gold label card and calculates a detection result; and the detection result is saved and transmitted back to the card reader and the card reader outputs the detection result. The gold card reader includes a micro computer system arranged on the card reader, and a server and analysis software, which are arranged outside the card reader. A CCD camera and a touch screen are arranged on the card reader. The gold label card reader only acquires images, but does not analyze or detect the acquired images, and then uploads original image data, and the remote server carries out analysis, detection and discriminative reading so that a calculation quantity of an embedded-type system of a handheld terminal is reduced, an image analysis and computation method is optimized and human intervention can also be prevented and thus the accuracy and authenticity of the detection result are ensured. The gold label card detection method and reader are also capable of uploading other identification data such as geographic information and the like.

Description

technical field [0001] The invention relates to the field of food safety monitoring, and more specifically relates to a gold standard card reading device and a detection method. Background technique [0002] The existing gold label card reader integrates detection, calculation and display results. In the field of food safety monitoring and other on-site law enforcement inspections, human factors may interfere with the test results; The calculation requires a lot of analysis and calculation, and the hardware of the microcomputer module of the existing gold standard card reader is difficult to meet the requirements of high accuracy calculation; in addition, due to the limitation of the production process of the gold standard card, each test card has certain The degree of intra-batch and inter-batch differences is affected by each batch of raw materials and environmental differences, and the inter-batch differences are particularly obvious. The existing gold standard card reade...

AI Technical Summary

Problems solved by technology

[0002] The existing gold label card reader integrates detection, calculation and display results. In the field of food safety monitoring and other on-site law enforcement inspections, human factors may interfere with the test results; The calculation requires a lot of analysis and calculation, and the hardware of the microcomputer module of the existing gold standard card reader is difficult to meet the requirements of high accuracy calculation; in addition, due to the limitation of the production process of the gold standard card, each test card has certain The degree of intra-batch and inter-batch differences is affected by each batch of raw materials and environmental differences, and the inter-batch differences are particularly obvious. The existing gold standard card readers cannot combine these gold standard card information to optimize the analysis and calculation methods during analysis. Correction The influence of intra-batch or inter-batch differences of the gold standard card on the test results, thus affecting the accuracy of the test results of the gold standard test card

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