Hand vein blood vessel depth detection device and method based on binocular principle
A venous blood vessel and depth detection technology, applied in the field of medical devices, can solve the problems of unable to provide three-dimensional images, staying at two-dimensional level, and unable to provide depth information of venous blood vessels.
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Embodiment 1
[0066] like Figure 1 to Figure 6 As shown, a hand vein blood vessel depth detection device based on the binocular principle includes a near-infrared light source module 1, an image acquisition module 2, an image processing module 3 and a housing 4, the near-infrared light source module 1, the image acquisition module 2 , the image processing module 3 are all supported on the shell 4 .
[0067] like Figure 1 to Figure 6 As shown, the near-infrared light source module 1 includes a short-wave near-infrared light source 101, a long-wave near-infrared light source 102, a short-wave near-infrared optical switch 103, a long-wave near-infrared optical switch 104, and a light source power controller 105. The housing 4 is provided with The first support rod 106 and the third support rod 108, the first support rod 106 is symmetrically provided with two, the first support rod 106 and the third support rod 108 lower ends are installed on the shell 4, and the first support rod 106 lower ...
Embodiment 2
[0113] A hand vein blood vessel depth detection method based on the binocular principle, using the detection device described in any one of claims 1 to 4, comprising the following steps:
[0114] 1) Turn on the device, let the person to be tested hold the infrared light source tightly, and stick a thin reflective strip on the skin surface of the blood vessel of the hand to be tested, which reflects infrared light or has an absorption coefficient completely different from that of blood vessels;
[0115] 2) Turn on the short-wave near-infrared light source and set the light source power to the lowest;
[0116] 3) Turn on the image acquisition module, observe the image, and adjust the power of the light source;
[0117] 4) Multi-angle shooting calibration board, camera calibration of the first camera and the second camera in MATLAB;
[0118] 5) Use the image acquisition module to extract the hand skin image data of the first camera and the second camera;
[0119] 6) Use the med...
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