The present disclosure provides a method for recognizing and diagnosing transformer equipment based on image fusion and target recognition, and relates to the technical field of recognizing power equipment. The method includes: performing, through wavelet transform, fusion on an infrared image and a visible light image that corresponds to equipment, and constructing a high-quality library of a fused infrared image and a fused visible light image; and training, based on an SSD target recognition algorithm, with the dataset that uses the library of the fused images as an algorithm, to intelligently recognize the fused image. The target recognition method for the fused images has advantages that infrared light is not affected by light, temperature information is provided, and a resolution of visible light is clear, so that accurate recognition and diagnosis on transformer equipment are implemented.

The present disclosure provides a method for recognizing and diagnosing transformer equipment based on image fusion and target recognition, and relates to the technical field of recognizing power equipment. The method includes: performing, through wavelet transform, fusion on an infrared image and a visible light image that corresponds to equipment, and constructing a high-quality library of a fused infrared image and a fused visible light image; and training, based on an SSD target recognition algorithm, with the dataset that uses the library of the fused images as an algorithm, to intelligently recognize the fused image. The target recognition method for the fused images has advantages that infrared light is not affected by light, temperature information is provided, and a resolution of visible light is clear, so that accurate recognition and diagnosis on transformer equipment are implemented.

The present disclosure provides a material identification method and a device based on laser speckle and modal fusion, an electronic device and a non-transitory computer readable storage medium. The method includes: performing data acquisition on an object by using a structured light camera to obtain a color modal image, a depth modal image and an infrared modal image; preprocessing the color modal image, the depth modal image and the infrared modal image; and inputting the color modal image, the depth modal image and the infrared modal image preprocessed into a preset depth neural network for training, to learn a material characteristic from a speckle structure and a coupling relation between color modal and depth modal, to generate a material classification model for classifying materials, and to generate a material prediction result in testing by the material classification model of the object.

The present disclosure provides a material identification method and a device based on laser speckle and modal fusion, an electronic device and a non-transitory computer readable storage medium. The method includes: performing data acquisition on an object by using a structured light camera to obtain a color modal image, a depth modal image and an infrared modal image; preprocessing the color modal image, the depth modal image and the infrared modal image; and inputting the color modal image, the depth modal image and the infrared modal image preprocessed into a preset depth neural network for training, to learn a material characteristic from a speckle structure and a coupling relation between color modal and depth modal, to generate a material classification model for classifying materials, and to generate a material prediction result in testing by the material classification model of the object.

An optical fingerprint sensor and an electronic device having same are provided. The optical fingerprint sensor includes a light-sensing element, an optical filter layer and an optical lens. The light-sensing element includes: a light-sensing base layer having a groove in a side surface thereof; a first light-sensing layer configured to receive visible light and arranged in the groove; and a second light-sensing layer configured to receive invisible light, and arranged between an inner wall surface of the groove and an outer wall surface of the first light-sensing layer. The optical filter layer is stacked on a side of the light-sensing element where the groove is formed. The optical lens is configured for focusing and stacked on a side of the optical filter layer facing away from the light-sensing element.

An optical fingerprint sensor and an electronic device having same are provided. The optical fingerprint sensor includes a light-sensing element, an optical filter layer and an optical lens. The light-sensing element includes: a light-sensing base layer having a groove in a side surface thereof; a first light-sensing layer configured to receive visible light and arranged in the groove; and a second light-sensing layer configured to receive invisible light, and arranged between an inner wall surface of the groove and an outer wall surface of the first light-sensing layer. The optical filter layer is stacked on a side of the light-sensing element where the groove is formed. The optical lens is configured for focusing and stacked on a side of the optical filter layer facing away from the light-sensing element.

The apparatus according to this disclosure includes object temperature change measuring means for measuring a temperature change of a surface temperature of an object, and living body determination means for determining whether or not the object is a living body based on the temperature change.

A novel authentication system is provided. In addition, a method for recording an unlocking history is provided. The authentication system includes an arithmetic device and an input/output device. The arithmetic device supplies first control data and second control data, and is supplied with a sensor signal. The input/output device includes an electric lock and a reading portion, and the electric lock is unlocked on the basis of the second control data. The reading portion is supplied with the first control data, supplies the sensor signal, and includes a light-emitting element and a pixel array. The light-emitting element emits light including infrared rays, the pixel array includes pixels, the pixels each include an imaging circuit and a photoelectric conversion element, the imaging circuit is electrically connected to the photoelectric conversion element, the imaging circuit includes a transistor, and the transistor includes an oxide semiconductor film.

A biometric authentication system includes a first image capturer that captures a visible light image that is imaged by picking up first light reflected from a skin portion of a subject that is irradiated with visible light; a second image capturer that captures a first infrared image that is imaged by picking up second light that is reflected from the skin portion irradiated with first infrared light and that has a wavelength region including a first wavelength; and a determiner that determines, in accordance with a result of comparing the visible light image with the first infrared image, whether the subject is a living body and outputs a determination result.

A biometric authentication system includes a first image capturer that captures a visible light image that is imaged by picking up first light reflected from a skin portion of a subject that is irradiated with visible light; a second image capturer that captures a first infrared image that is imaged by picking up second light that is reflected from the skin portion irradiated with first infrared light and that has a wavelength region including a first wavelength; and a determiner that determines, in accordance with a result of comparing the visible light image with the first infrared image, whether the subject is a living body and outputs a determination result.