An adaptive adjusting method, a pair of AR intelligent learning glasses and an AR intelligent learning system
A self-adaptive adjustment and intelligent learning technology, which is applied in transmission systems, closed-circuit television systems, and components of television systems, etc., can solve problems such as the inability to clearly capture long-distance image information and the inability to restore long-distance sound information
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Embodiment 1
[0049] This embodiment provides an adaptive adjustment method based on AR smart learning glasses, such as figure 1 shown, including the following steps:
[0050] S1. Obtain the video image information captured by the image acquisition module, select a feature information in the video image information as the first image feature information, and adjust the image acquisition module by the preset ratio threshold of the first image feature information in the video image information focal length and offset information, the offset information includes offset direction and offset distance;
[0051] S2. Acquire the sound information captured by the sound pickup module, and select and lock a sound feature information in the azimuth as the first sound feature information, establish a sound amplification and denoising model, and remove other sound information except the first sound feature information. ;
[0052]S3. The detection module acquires the trajectory information, offset infor...
Embodiment 2
[0058] On the basis of Embodiment 1, this embodiment also includes the steps of manual zooming and automatic focusing, as follows:
[0059] The normalized contrast value of the first image feature information under natural light and measurement light is acquired, and the normalized contrast value is used as a reference value for focusing of the lens, and the reference value is automatically adjusted.
[0060] further, as figure 2 As shown, this embodiment includes a camera 102, an optical sensor 103, an MCU 101, an SD card 104, a display module 105, an indicator light 106 and a button module 107. The camera 102 is connected to the optical sensor 103, and the signal terminal of the optical sensor 103 is connected to the The signal terminal of the MCU 101 is connected to the signal terminal of the SD card 104 , and the signal terminal of the SD card 104 is connected to the MCU 101 .
[0061] This embodiment aims at the disadvantage that after students change the shooting dista...
Embodiment 3
[0063] On the basis of Embodiment 1, the present embodiment also includes the step of converting text by speech, which is specifically as follows:
[0064] Acquire first sound feature information, compare the acquired first sound feature information with data in the database, obtain text information corresponding to the voice, and convert the text information into TXT format.
[0065] The speech-to-text described in this embodiment can convert the content of the teacher's lectures in the classroom into text, and save the converted text in TXT format and record it in the memory.
[0066] Further, as image 3 As shown, this embodiment includes a high-sensitivity unidirectional MIC 201, an omnidirectional MIC 202, an amplifier 203, a noise reduction module 204, a microprocessor 205 and a CPU 206, and the high-sensitivity unidirectional MIC 201 is connected to the noise reduction module 204 through the amplifier 203 , the omnidirectional MIC 202 is connected with the noise reduct...
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