Boe Technology Group Co., Ltd.

Beijing Boe Sensor Technology Co., Ltd.

International Business Machines Corporation

Yi Dai

Cheng Li

Yue Geng

Yajie Feng

Zefei Li

Chaoyang Qi

Kuiyuan Wang

Xiaoguan Li

Yingzi Wang

Zhonghuan Li

Xing Xing Shen

Lei Cui

Ya Qiong Liu

Congcong Xi

Ke Wei Wei

Shuang Ys Yu

Ling Zhuo

Wei Liu

Jing James Xu

Yin Xia

Yuan Feng

Jun Wang

Ying Cao

Guang Ming Zhang

Meichi M Lin

Guo Ran Sun

Enzhong Wang

Xinglong Wang

A pattern recognition module and a pattern recognition apparatus. The pattern recognition module includes a pattern recognition substrate, and the pattern recognition substrate includes a pattern recognition area and a non-pattern recognition area located on at least one side of the pattern recognition area; and an anti-static layer, located on the pattern recognition substrate, and an orthographic projection of the anti-static layer on the pattern recognition substrate completely covers the pattern recognition area, extends to the non-pattern recognition area, and overlaps the non-pattern recognition area.

Pattern recognition module and pattern recognition apparatus

The present disclosure provides an optical identification module and a display panel. The optical identification module includes a substrate, an identification structure and a collimation optical path structure, where the identification structure is arranged on the substrate, the collimation optical path structure is arranged on a light entering side of the identification structure, the optical identification module further includes a non-visible light filtering structure, and the non-visible light filtering structure is arranged in the collimation optical path structure and configured to filter non-visible light irradiated to the identification structure.

Optical identification module and display panel

A fingerprint recognition module is disclosed, and including: a base substrate; a driving circuit layer disposed on a side of the base substrate, and including a plurality of driving transistors arranged in an array; a first insulating layer disposed on a side of the driving circuit layer facing away from the base substrate, and including a plurality of first via holes running through the first insulating layer in a thickness direction of the first insulating layer; a plurality of photoelectric converters disposed on a side of the first insulating layer facing away from the driving circuit layer, and in contact with first electrodes of the plurality of driving transistors through the plurality of first via holes in one-to-one correspondence; a second insulating layer disposed on a side of the first insulating layer facing away from the base substrate.

Fingerprint recognition module and driving method thereof, and display apparatus

The re is provided a fingerprint identification module, including a substrate having a fingerprint identification area and a peripheral area; a photoelectric sensing structure in the fingerprint identification area, and including pixel units; each pixel unit includes a thin film transistor having a gate electrode coupled to a corresponding gate line and a first electrode coupled to a corresponding signal sensing line; the fingerprint identification area includes a photosensitive region, the pixel unit in the photosensitive region further includes a photoelectric sensor including a third electrode, a photosensitive pattern and a fourth electrode which are sequentially stacked along a direction away from the substrate, and the third electrode is coupled to a second electrode of the thin film transistor in the same pixel unit as that where the photoelectric sensor is located; an area ratio of the photoelectric sensor to the pixel unit corresponding thereto ranges from 40% to 90%.

Fingerprint identification module and display device

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.

Print recognition module and display apparatus

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.

Optical sensor array substrate and optical fingerprint reader

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.

Intelligent expansion of reviewer feedback on training data

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.

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.

Automatic anomaly detection

A fingerprint acquisition apparatus includes a plurality of photoelectric conversion units and a first shading pattern. The first shading pattern includes at least one first shading block including a first opening, and an orthographic projection of the first opening in the first shading block on the base substrate is within an orthographic projection of a target photoelectric conversion unit corresponding to the first shading block on the base substrate.

Fingerprint acquisition apparatus, display panel and electronic device

Provided a fingerprint identification substrate and a manufacturing method therefor, a identification method, and a display apparatus. The fingerprint identification substrate includes a substrate and at least two kinds of identification pixels disposed on the substrate, a first identification pixel includes a first photodiode and a second identification pixel includes a second photodiode. The first photodiode includes a first electrode, a first photoelectric conversion layer and a second electrode, the second photodiode includes the first electrode, a second photoelectric conversion layer and the second electrode, and the first photoelectric conversion layer and the second photoelectric conversion layer have different spectral response characteristics to red light or infrared light.

Fingerprint identification substrate and manufacturing method therefor, identification method and display apparatus

Ranking system metrics for monitoring by sorting members of a set of system metrics into correlation groups according to correlations among historic time series data, determining a sensitivity of the members of the set of system metrics, determining an importance of the members of the set of system metrics according to the correlation groups and sensitivity, and ranking the members of the set of system metrics according to the importance.

Selecting metrics for system monitoring

Embodiments of the present invention provide systems and methods for remote query optimization in multi data sources. The method includes receiving a database query from a remote source requesting data-points from multiple data sources. The method further includes receiving and analyzing the data-points, creating a data set based on the analysis, and transmitting the data set to the remote source.

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Beijing, China

Yi Dai