Intelligent vision detector based on gesture recognition technology and use method thereof

Abstract

The invention discloses an intelligent vision detector based on a gesture recognition technology and a using method thereof. The intelligent vision detector comprises a detector body, an infrared distance measuring device and an image collecting device; a first electric wire is connected between the detector body and the infrared distance measuring device, and a second electric wire is connected between the detector body and the image collecting device; a main controller device and an algorithm device are mounted in the detector main body, and a display and a loudspeaker are arranged at the front end of the detector main body. According to the intelligent vision detector based on the gesture recognition technology and the use method of the intelligent vision detector, the intelligent vision detector is composed of the high-definition camera, the infrared distance measuring sensor, the display screen and the control device, and compared with a traditional standard logarithmic visual chart detection method and an electronic vision detection device, the intelligent vision detector improves the detection efficiency and reduces the detection cost; intelligentization of the vision detection equipment is achieved, and the intelligent vision detection equipment has important significance in market popularization.

Description

technical field [0001] The invention relates to the field of intelligent vision detection, in particular to an intelligent vision detection instrument based on gesture recognition technology and a using method thereof. Background technique [0002] Intelligent vision tester is a supporting device for vision detection. With the continuous popularization of mobile phones, computers and other electronic products, people's dependence on electronic products is also increasing, resulting in myopia has become a common phenomenon in society. In China, there are There are about 600 million myopia patients, and the proportion of myopia population is close to 48%. To solve the increasingly severe myopia problem, it is necessary to carry out regular vision examinations for children and adolescents, to detect changes in vision in time and to carry out treatment and training. With the continuous development of science and technology With the development, people have higher and higher requ...

AI Technical Summary

Problems solved by technology

[0003] There are certain disadvantages in the use of existing intelligent vision detectors. First, traditional detectors use manual feature extraction, which is cumbersome to operate. Traditional inspection methods are affected by factors such as inspection conditions, methods, and speeds, and the detection results may be flawed. Deviation has certain limitations and complexity, which is not conducive to people's use. In addition, CNN requires that the input image size must be consistent. The usual methods for this problem are cropping and stretching. However, these two methods will produce the result that the ratio and size of the input image are changed, which will distort the original image and affect the final recognition effect. The traditional standard logarithmic eye chart detection method requires the doctor to control the whole process, and the low-efficiency visual inspection consumes labor costs. , it is impossible to realize single-person self-service and area sharing detection, which has brought certain adverse effects on people's use process. Therefore, we propose an intelligent vision tester based on gesture recognition technology and its use method

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