AI ophthalmological health detecting method and its detecting method
A technology for health detection and ophthalmology, which is applied to eye testing equipment, medical equipment, ophthalmoscopes, etc. It can solve the problems of long testing time, low quality of testing results, and lack of humanization, so as to improve efficiency and improve the quality of testing results. , the effect of high storage capacity
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Embodiment 1
[0021] Combine below figure 1 The structure of the equipment of the present invention is described in detail:
[0022] figure 1 A schematic structural diagram of the AI eye health detection device provided in Embodiment 1 of the present invention, as shown in figure 1As shown, the AI eye health detection equipment includes an eye information collection module (1), a main board (2), a voice interaction module (3), a user interface (4), a network communication module (5), and a cloud computing module (6) And the output module (7), the eye information collection module (1), the voice interaction module (3), the user interface (4), the network communication module (5) and the output module (7) are connected to the main board (2) by wire, The network communication module (5) is connected to the cloud computing module (6) through a wireless network, wherein the eye information collection module (1) is used for the collection of eye information; the voice interaction module (3)...
Embodiment 2
[0031] Combine below figure 2 The detection method of the present invention is described in detail:
[0032] figure 2 The flow chart of the steps of the AI eye health detection method provided by Embodiment 2 of the present invention, such as figure 2 As shown, the equipment required for the AI eye health detection method adopts the above-mentioned AI eye health detection equipment, and the AI eye health detection method specifically includes the following steps:
[0033] 1. Selection of testing services: Users can determine the options for ophthalmic disease prevention subjects according to their own actual eye conditions and under the guidance of doctors. This step is completed by the user through the device user interface (4) and the voice interaction module (3) with the support of the cloud computing module (6). Among them, the user interface (4) and the voice interaction module (3) transmit the instructions received from the user to the main board (2) through ...
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