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Infrared flicker identification method

A recognition method, infrared technology, applied in the field of signal processing, can solve the problems of deep learning model design complex, a lot of manpower, cumbersome operation, etc., to achieve the effect of saving server cost, saving traffic, and light algorithm calculation process

Pending Publication Date: 2021-10-29
MOCHITEC SHANGHAI CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Deep learning requires a lot of data and a lot of computing power and hardware requirements. The mainstream is to use GPU+TPU, and now many applications are not suitable for use on mobile devices, and they need to be uploaded to the cloud server for processing
Moreover, the model design of deep learning is very complicated, and the new model requires a lot of manpower, so the cost is high and the operation is relatively cumbersome

Method used

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  • Infrared flicker identification method

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Embodiment Construction

[0025] The infrared flash recognition method of the present invention will be described in more detail below in conjunction with the schematic diagram, wherein a preferred embodiment of the present invention is shown, it should be understood that those skilled in the art can modify the present invention described here, and still realize the beneficial effects of the present invention . Therefore, the following description should be understood as the broad knowledge of those skilled in the art, but not as a limitation of the present invention.

[0026] In the following paragraphs the invention is described more specifically by way of example with reference to the accompanying drawings. Advantages and features of the present invention will be apparent from the following description and claims. It should be noted that all the drawings are in a very simplified form and use imprecise scales, and are only used to facilitate and clearly assist the purpose of illustrating the embodim...

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Abstract

The invention discloses an infrared flicker identification method. The method comprises the following steps: setting a data frame rate; clicking a start key for data sampling; carrying out asynchronous calculation on the sampled data; and obtaining a flicker frequency result according to a calculation result. A part of use scene problems of deep learning are solved, the method is suitable for analyzing the three-primary color proportion of the image, the algorithm calculation process is light, therefore, the processing speed is high, the result is obtained in real time, the result does not need to be uploaded to a cloud server, the flow and the server cost are saved, only RBG or HSV comparison is needed in the whole process, and convenience is achieved.

Description

technical field [0001] The invention relates to the field of signal processing, in particular to an infrared flash recognition method. Background technique [0002] At present, computer recognition of images requires a large number of data samples, and then summarizes the characteristics of objects through machine learning, and then recognizes and judges. , the task accuracy of visual recognition has also been greatly improved, which is suitable for scenarios with massive data samples. [0003] Deep learning requires a lot of data, a lot of computing power and hardware requirements. The mainstream is to use GPU+TPU, and many applications are not suitable for use on mobile devices, and they need to be uploaded to cloud servers for processing. Moreover, the model design of deep learning is very complicated, and the new model requires a lot of manpower, so the cost is high and the operation is relatively cumbersome. Contents of the invention [0004] In order to solve the a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/90G06T1/60
CPCG06T7/90G06T1/60
Inventor 谷永亮
Owner MOCHITEC SHANGHAI CO LTD
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