Abstract: A method for factory calibration of a sensor of a CGM system is disclosed. A processor receives an enzyme membrane thickness after each dip of a working wire according to first parameters. The processor receives a glucose limiting membrane thickness after each dip of the working wire according to second parameters. The processor determines a working wire diameter, and includes the membrane thicknesses. The processor in communication with the CGM system, automatically generates a correlation between the first and the second parameters to at least one of a factory sensitivity and a drift profile. The drift profile predicts a sensitivity of the sensor over time. The processor associates the at least one of the factory sensitivity or the drift profile with the sensor. The sensor outputs a glucose reading during in-vivo use based on the at least one of the factory sensitivity or the drift profile.

Abstract: The present disclosure relates to the field of lighting adjustment technologies, and in particular to a lighting adjustment system and method. The system includes: a light sensor, a personnel controller, a central processing unit, and a lighting device, where the light sensor, the personnel controller, and the lighting device are all wirelessly connected to the central processing unit; the light sensor is arranged at a preset monitoring point, and configured to receive monitoring information at the monitoring point; the personnel controller is configured to obtain a lighting environment creation selection of control personnel; the central processing unit is configured to regulate beam angle, color temperature, and illuminance of the lighting device in real time based on the received monitoring information and the lighting environment creation selection; and the lighting device is arranged at the monitoring point preset indoors.

Abstract: The present disclosure discloses a method and apparatus for extracting a video clip, relates to the field of artificial intelligence technology such as video processing, audio processing, and cloud computing. The method includes: acquiring a video, and extracting an audio stream in the video; determining a confidence that audio data in each preset period in the audio stream comprises a preset feature; and extracting a target video clip corresponding to a location of a target audio clip in the video; wherein the target audio clip is an audio clip within a continuous preset period, and has a confidence that the audio data includes the preset feature, which is larger than a preset confidence threshold. This method may improve the accuracy of extracting a video clip.

Abstract: The present disclosure discloses a method and apparatus for extracting a video clip, relates to the field of artificial intelligence technology such as video processing, audio processing, and cloud computing. The method includes: acquiring a video, and extracting an audio stream in the video; determining a confidence that audio data in each preset period in the audio stream comprises a preset feature; and extracting a target video clip corresponding to a location of a target audio clip in the video; wherein the target audio clip is an audio clip within a continuous preset period, and has a confidence that the audio data includes the preset feature, which is larger than a preset confidence threshold. This method may improve the accuracy of extracting a video clip.