Abstract: A method of detecting whether a surveillance camera is abnormal or abnormal includes: obtaining a plurality of video frames from a video captured by the surveillance camera; sequentially comparing each of the plurality of video frames with a reference video frame; determining that the surveillance camera is abnormal when a sequence of video frame detection results indicates that not all of the plurality of video frames are normal video frames; issuing a maintenance notification of the surveillance camera when it is determined that the surveillance camera is abnormal with the particular one of the plurality of abnormal properties, thereby facilitating a maintenance procedure to be performed on the surveillance camera to remove the particular one of the plurality of abnormal properties.

Abstract: A method of detecting whether a surveillance camera is abnormal or abnormal includes: obtaining a plurality of video frames from a video captured by the surveillance camera; sequentially comparing each of the plurality of video frames with a reference video frame; determining that the surveillance camera is abnormal when a sequence of video frame detection results indicates that not all of the plurality of video frames are normal video frames; issuing a maintenance notification of the surveillance camera when it is determined that the surveillance camera is abnormal with the particular one of the plurality of abnormal properties, thereby facilitating a maintenance procedure to be performed on the surveillance camera to remove the particular one of the plurality of abnormal properties.

Abstract: A method for capturing and organizing intelligence data using an organic data model includes: receiving one or more webpages containing social intelligence data; segmenting content of the one or more webpages containing social intelligence data; identifying named entities in the segmented content of the one or more webpages; identifying topics in the segmented content of the one or more webpages; identifying opinions in the segmented content of the one or more webpages; integrating the identified named entities, topics, and opinions to construct an organic object data model; and storing organic object data associated with the constructed organic object data model in an organic object database.

Abstract: A method for capturing and managing training data collected online includes: receiving a first dataset from one or more online sources; sampling the first dataset and generating a second dataset, the second dataset including the data sampled from the first dataset; receiving an annotated second dataset with predefined labels; and dividing the annotated second dataset into a training dataset and a test dataset. The disclosed method further includes: configuring a machine learning based classifier based on the training dataset; predicting at least one data point based on the training dataset and calculating a confidence score; comparing the at least one predicted data point to the test dataset; sorting the at least one predicted data point based on its confidence score; and receiving corrected training data associated with the at least one predicted data point.

Abstract: A system for transferring information that includes a collection module configured to authenticate a user identifier if the user identifier is unique in the system, the user identifier being related to identity of the user, generate an encrypted object based on at least the user identifier and at least one webpage identifier in accordance with an algorithm, each of the at least one webpage identifiers being related to the identity of one of at least one webpages of the user, retrieve the encrypted object from one of the at least one webpages based on one of the at least one webpage identifiers, identify the integrity of the retrieved encrypted object, a management module configured to generate at least one information card based on the at least one webpage identifier in accordance with predetermined rules, a memory module configured to store at least one of the said user identifiers, the at least one webpage identifier and the at least one information card, and a dispatch module configured to dispatch the at

Abstract: A system for webpage verification comprises an authentication module configured to authenticate a user identifier if the user identifier is unique in the system, the user identifier being related to the identity of a user, a data-hiding module configured to generate a first data-hidden object based on a unique user identifier, at least one webpage identifier and a base object in accordance with a data-hiding algorithm, each of the at least one webpage identifiers being related to the identity of one of at least one webpage of the user, a memory module to store at least one of the said user identifier, the at least one webpage identifier, the base object, and the required parameters of data-hiding algorithm, and a verification module configured to retrieve the first data-hidden object from one of the at least one webpage based on one of the at least one webpage identifier, retrieve a user identifier and all of the webpage identifiers from the memory module based on the one webpage identifier, generate a second

Abstract: Systems and methods for generating three-dimensional models of an object use images having unmeasured camera parameters. Camera calibration determines the perspective of the camera from the content of the images. A background having a pattern with a known marks in each image can facilitate determination of the camera parameters. One background pattern includes separated marks having rectangular sections where corners of the rectangular sections provide calibrations points for the camera parameters. The camera parameters can also be determined by matching features of the object in different images and determining differences in perspective from differences in the appearance of the matched features in different images. A combination of projective and metric reconstructions provides robust reconstruction.

Abstract: Systems and methods for generating three-dimensional models of an object use images having unmeasured camera parameters. Camera calibration determines the perspective of the camera from the content of the images. A background having a pattern with a known marks in each image can facilitate determination of the camera parameters. One background pattern includes separated marks having rectangular sections where corners of the rectangular sections provide calibrations points for the camera parameters. The camera parameters can also be determined by matching features of the object in different images and determining differences in perspective from differences in the appearance of the matched features in different images. A combination of projective and metric reconstructions provides robust reconstruction.