Abstract: An image data processing method, a system and an electronic device are provided. The method includes: recording to-be-processed database data as a target image set; performing sharpness calculation on target images in the target image set by a weighted gradient algorithm, and removing, if sharpness of at least one target image is smaller than a threshold, the at least one target image from the target image set; performing sharpness enhancement processing on remaining target images in the target image set; extracting feature points in the target images in the target image set and the contrast image, one by one or at intervals; and comparing and judging similarity between the target images and the contrast image by a similarity algorithm, and inputting similar target images into classified storage spaces.

Abstract: The present disclosure provides a group training action correction system and method combining face and gesture recognition, wherein the system includes an individual action correction moment determination module, which is configured to determine a nearest individual action correction moment after a current training progress on a preset training progress axis; and an individual action correction module, which is configured to correct and prompt individually action for the action correction object based on a standard gesture, an action to be corrected, and a personnel identity when entering the individual correction moment.

Abstract: An image data processing method, a system and an electronic device are provided. The method includes: recording to-be-processed database data as a target image set; performing sharpness calculation on target images in the target image set by a weighted gradient algorithm, and removing, if sharpness of at least one target image is smaller than a threshold, the at least one target image from the target image set; performing sharpness enhancement processing on remaining target images in the target image set; extracting feature points in the target images in the target image set and the contrast image, one by one or at intervals; and comparing and judging similarity between the target images and the contrast image by a similarity algorithm, and inputting similar target images into classified storage spaces.

Abstract: A switching circuit includes a live wire power obtaining circuit, a control circuit, and a tunable capacitor array. The live wire power obtaining circuit is coupled to a live wire to receive an alternating current (AC) voltage. The control circuit is configured to perform a zero-crossing detection to the alternating current voltage. The tunable capacitor array is coupled to the live wire power obtaining circuit and the control circuit. The control circuit is configured to control the live wire power obtaining circuit to supply power to the control circuit or the tunable capacitor array to discharge to supply power to the control circuit based on a state of a first switch and a zero-crossing detection result.

Abstract: A switching circuit includes a live wire power obtaining circuit, a control circuit, and a tunable capacitor array. The live wire power obtaining circuit is coupled to a live wire to receive an alternating current (AC) voltage. The control circuit is configured to perform a zero-crossing detection to the alternating current voltage. The tunable capacitor array is coupled to the live wire power obtaining circuit and the control circuit. The control circuit is configured to control the live wire power obtaining circuit to supply power to the control circuit or the tunable capacitor array to discharge to supply power to the control circuit based on a state of a first switch and a zero-crossing detection result.