Abstract: In a peeling system and a peeling method for a flexible fingerprint component provided by the present invention, the flexible fingerprint component is formed on a rigid substrate, and the flexible fingerprint component comprises a flexible substrate, a photosensitive device layer and an optical film sequentially arranged on the flexible substrate, a first chip-on film bonded to the photosensitive device layer on a first side of the optical film, and a second chip-on film bonded to the photosensitive device layer on a second side of the optical film, wherein the optical film is provided with an extension portion beyond the flexible substrate, the second side of the optical film is located on a side opposite to the extension portion, and the first side of the optical film is located on a side adjacent to the extension portion.

Abstract: An optical sensor array substrate and an optical fingerprint reader are provided. The optical sensor array substrate includes a substrate including a detection area which includes a plurality of photosensitive pixels. Photosensitive pixel includes: a TFT arranged on the substrate; a storage capacitor arranged on the substrate and having a first capacitor plate, and a second capacitor plate electrically connected to the source or drain of the TFT; a photosensitive element, having one end electrically connected to the second capacitor plate; a first electrode layer electrically connected to another end of the photosensitive element. On the substrate, an orthographic projection of the second capacitor plate at least partially overlaps with that of the first electrode layer, and the first capacitor plate is located in the same layer and has the same material as the gate of the TFT.

Abstract: The disclosure provides an imaging lens assembly, which sequentially includes, from an object side to an image side along an optical axis, a movable diaphragm, a first lens with a positive refractive power, a second lens with a negative refractive power, a third lens with a refractive power, a fourth lens with a refractive power, a fifth lens with a refractive power and a sixth lens with a negative refractive power, wherein TSmin is a distance from the movable diaphragm at a minimum distance from an imaging surface of the imaging lens assembly to an object-side surface of the first lens on the optical axis, TSmax is a distance from the movable diaphragm at a maximum distance from the imaging surface of the imaging lens assembly to the object-side surface of the first lens on the optical axis and EPDmin is a minimum entrance pupil diameter of the imaging lens assembly.

Abstract: The present disclosure discloses a camera apparatus including a first optical system and a second optical system. The second optical system includes a secondary reflecting mirror, a main reflecting mirror with an opening in a center area thereof, and a lens group, which are sequentially arranged from an object side to an image side. Light from the object side is sequentially reflected by the main reflecting mirror and the secondary reflecting mirror, and then enters the lens group through the opening. A total effective focal length F1 of the first optical system and a total effective focal length F2 of the second optical system satisfy: F2/F1>10.

Abstract: Provided in the present disclosure are a print recognition module and a display apparatus. The print recognition module includes: a base substrate; a driving circuit layer located on one side of the base substrate and including a plurality of driving transistors arranged in an array; a first insulating layer located on the side of the driving circuit layer that is away from the base substrate and including a plurality of first via holes running through the thickness thereof; a connecting electrode layer located on the side of the first insulating layer that is away from the driving circuit layer and including a plurality of connecting electrodes which are in one-to-one correspondence with first electrodes of the driving transistors; and a plurality of photoelectric conversion portions located on the side of the connecting electrode layer that is away from the first insulating layer.

Abstract: First event data is obtained from a first computer system and second event data is obtained from a second computer system. A first shape of the first event data is identified, and a second shape of the second event data is identified. A shape similarity between the first shape and the second shape is calculated. The shape similarity is determined to be above a similarity threshold. Training features are generated from the first event data and the second event data based on the determining. The training features are input into an anomaly-detection model.

Abstract: A print recognition substrate and a print recognition apparatus. The print recognition substrate includes a base substrate, which includes a data line and a gate line crossing each other; a light shielding structure, located on the base substrate, and including a metal layer, and an orthographic projection of the light shielding structure on the base substrate does not overlap with orthographic projections of the data line and the gate line on the base substrate; a photoelectric conversion structure, located on the side of the light shielding structure away from the base substrate, and an orthographic projection of the photoelectric conversion structure on the base substrate is located in an orthographic projection of the light shielding structure on the base substrate, and a distance between an edge of the photoelectric conversion structure and an edge of the light shielding structure is less than or equal to 3 ?m.

Abstract: An optical sensor array substrate and an optical fingerprint reader are provided. The optical sensor array substrate includes a substrate including a detection area which includes a plurality of photosensitive pixels. Photosensitive pixel includes: a TFT arranged on the substrate; a storage capacitor arranged on the substrate and having a first capacitor plate, and a second capacitor plate electrically connected to the source or drain of the TFT; a photosensitive element located on one side of the storage capacitor away from the substrate, and having one end electrically connected to the second capacitor plate; a first electrode layer located on one side of the photosensitive element away from the substrate and electrically connected to another end of the photosensitive element. An orthographic projection of the second capacitor plate on the substrate at least partially overlaps with an orthographic projection of the first electrode layer on the substrate.

Abstract: A storage container includes a slide frame and a drawer movably disposed in the slide frame. The slide frame includes a bottom plate, at least one column and a top plate. The column is disposed between the bottom plate and the top plate. The opposite sides of the bottom plate and the top plate are provided with insertion grooves. One side of the inner wall of each insertion groove is provided with a clamping groove. Clamping plates are disposed at the top end and bottom end of the column. The ends of clamping plates far away from the column extend into the insertion grooves. The clamping plates are provided with clamping blocks connected to the clamping grooves.

Abstract: A method includes generating a plurality of vectors representing words in a plurality of documents about an information technology (IT) system and clustering the plurality of vectors to produce a plurality of clusters. The method also includes identifying a cluster of the plurality of clusters that contains a plurality of clustered vectors, generating a feature based on a plurality of words represented by the plurality of clustered vectors, and training a machine learning model to identify an anomaly in the IT system based on the feature.

Abstract: An embodiment generates an initial set of training data from monitoring data. The initial set of training data is generated by combining outputs from a plurality of pretrained classifiers. The embodiment trains a new classification model using the initial set of training data to identify anomalies in monitoring data. The embodiment performs a multiple-level clustering of the data samples resulting in a plurality of clusters of sub-clusters of data samples, and generates a review list of data samples by selecting a representative data sample from each of the clusters. The embodiment receives an updated data sample from the expert review that includes a revised target classification for at least one of the data samples of the expert review list. The embodiment then trains another replacement classification model using a revised set of training data that includes the updated data sample and associated revised target classification.