2results about How to "The simulation effect is real" patented technology

The utility model belongs to the field of biomedical models, and provides a device for simulating adjustment of a ciliary body to a crystalline lens, which comprises a driving component for providing power drive, a ciliary body model component for simulating the function of the ciliary body and a crystalline lens model component for simulating the function of the crystalline lens, the driving assembly comprises a positioning disc arranged on the outer side of the crystalline lens model component in a sleeving mode, the ciliary body model component comprises a plurality of ciliary processes which are arranged on the outer side of the crystalline lens model component in a surrounding mode and can move in the radial direction of the positioning disc, and a plurality of small ciliary belts are arranged between the ciliary processes and the crystalline lens model component; the driving assembly, the ciliary body model component, the crystalline lens model component and the ciliary ribbons are used in cooperation, it is guaranteed that a plurality of ciliary processes can move synchronously through the synchronous structure, the working process of the ciliary body in the physiological state is highly restored, the simulation degree of the model is remarkably improved, and the simulation degree of the ciliary body model is improved. And a more real and accurate simulation effect is provided for teaching.

This invention discloses a contamination judgment method, a contamination judgment system, and a cleaning method for a vehicle-mounted camera. The contamination judgment method includes the following steps: allowing a vehicle-mounted camera to capture a poster containing scene information through contaminated specimens of different gray levels to obtain a series of specimen images; converting the original image data of the series of specimen images into HSV format image data; extracting the mean and variance of the HSV color space of the HSV format image data of the series of specimen images as features and inputting them into a support vector machine algorithm model to train a classification algorithm model; inputting the image data of a detection image captured by the vehicle-mounted camera as input features into the classification algorithm model to allow the classification algorithm model to classify the detection image captured by the vehicle-mounted camera; and determining whether the lens surface of the vehicle-mounted camera is contaminated based on the classification result of the classification algorithm model.