Detection method for color blindness correction glasses

A technology for eyeglass detection and color blindness, applied in neural learning methods, instruments, biological neural network models, etc., can solve problems such as difficult to find and hidden dangers of public transportation safety, improve speed and accuracy, make up for false detection and inaccuracy, The effect of preventing cheating

Pending Publication Date: 2022-04-15
QINGDAO TONGCHAN SOFTWARE TECH
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Problems solved by technology

According to the document "Decree No. 139 of the Ministry of Public Security of the People's Republic of China", the color discrimination requirement for applicants for driver's licenses is no red-green color blindness; therefore, many driver's license applicants are lucky when they know that they do not meet the conditions. During the physical examination, temporarily wear color-blindness correcting glasses to pass the red-green color blindness test. It may be difficult for humans to detect such cheating, which has caused some public transportation safety hazards.

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  • Detection method for color blindness correction glasses
  • Detection method for color blindness correction glasses
  • Detection method for color blindness correction glasses

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[0035] In order to make the technical problems, technical solutions and beneficial effects solved by the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0036] A detection method and system for color blindness correction glasses. Firstly, a face image is obtained through a camera, and the acquired image is input into a self-developed cascade neural network to obtain the key point positions of facial features. Through the key point positions of the face, The position of the eye area can be located, the eye ROI area in the intercepted image is converted into an HSV image by a conversion formula, and the mean value μ and standard deviation σ of the current image I are calculated for the intercepted eye ROI area image, and I'...

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Abstract

The invention belongs to the technical field of artificial intelligence detection, and discloses a color blindness correction glasses detection method, which comprises the following steps: firstly, acquiring a face image through a camera, inputting the acquired image into a self-developed cascade neural network to obtain key point positions of five sense organs of a face, and positioning the position of an eye region through the positions of the key points of the face, intercepting an eye ROI region in the image, converting the eye ROI region into an HSV image through a conversion formula, calculating a mean value mu and a standard deviation sigma of a current image I for the intercepted eye ROI region image, and performing normalization processing through I '= (I-mu) / sigma; inputting the normalized image data I'into a trained convolutional neural network classifier for feature extraction and reasoning calculation; and outputting a result P according to the classifier. According to the color blindness correction glasses detection method and system, the color discrimination power detection speed and accuracy of the driver are effectively improved, and the method and system can be greatly popularized in public places such as driver physical examination centers and medical treatment.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence detection, in particular to a detection method for color blindness correction glasses. Background technique [0002] With the development of science and technology, there has been a kind of glasses that can correct color blindness. Wearing color blind glasses can make the original color blind pictures that cannot be clearly identified can be correctly identified, and achieve the effect of correcting color vision impairment. According to the document "Decree No. 139 of the Ministry of Public Security of the People's Republic of China", the color discrimination requirement for applicants for driver's licenses is no red-green color blindness; therefore, many driver's license applicants are lucky when they know that they do not meet the conditions. For those who are mentally ill, they temporarily wear color-blindness correcting glasses during the physical examination to pass the red-gr...

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Application Information

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IPC IPC(8): G06V40/16G06V40/18G06V10/25G06V10/764G06V10/80G06V10/82G06K9/62G06N3/04G06N3/08
Inventor 郭杰高兴兴张磊李鹏飞夏俊娇
Owner QINGDAO TONGCHAN SOFTWARE TECH
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