Abstract: The present teaching relates to method, system, medium, and implementations for detecting a target object via a security post. A plurality of sections are arranged in a vertical direction. Each section is designated to detect the target object in a vertical range by receiving information related to magnetic field from one or more sensors, analyzing the sensed information to extract features characterizing the magnetic field variations in the corresponding vertical range, and determining whether the target object is present in the vertical range based on the extracted features. When the target object is detected by a section, an alarm associated with the section is triggered to indicate the detection. An overall detection result is determined based on the detection result from each of the sections and is displayed on a display screen.

Abstract: Embodiments of the present application disclose a deep learning-based face identification method and a related product. The method is applied to an electronic apparatus. The method includes: acquiring an aligned face image, and scaling the face image at a preset ratio to obtain a target image; extracting a pixel matrix of the target image, inputting the pixel matrix to the neural network model, and executing multilayer computing to obtain a computing result; and calculating a cosine similarity degree between the computing result and a facial template vector, wherein comparison is successful if the cosine similarity degree is greater than a preset threshold. The embodiments of the present application help improve the identification success rate and the identification speed.

Abstract: Embodiments of the present invention disclose an image capturing method and device, so as to capture different types of biometric characteristic image information rapidly by using a device that can be integrated easily.

Abstract: The present application discloses an iris identification system and an iris identification method thereof. The iris identification system includes: a camera module including at least two cameras, the cameras having different depths of field and being configured to capture iris images; a distance detection apparatus configured to detect a distance between a user and the camera module; a processing chip configured to find, according to the detected distance, a depth of field corresponding the distance and control a camera having the depth of field to be turned on, and further configured to control multiple cameras in the camera module to be turned on simultaneously until one camera has captured an ideal image.