Abstract: A method used in making a product, wherein a characteristic of the product is at least in part determined by values of parameters used in making the product, the method including the steps of: (a) applying a machine-based transfer learning process to prior result data, the application of the transfer learning process resulting in the generation of predictive data; (b) selecting one or more parameter values to be used in making the product based on the generated predictive data; (c) making the whole or a part of the product using the selected one or more parameter values.

Abstract: This invention concerns wide-area video surveillance systems. In a first aspect the invention is a surveillance network, in another aspect the invention is a virtual observer, and in a further aspect the invention is a method for operating a virtual observer. Each segments or frame of video, from each camera of the network is associated with the following trajectory parameters; a time and a spatial position, and possibly a radius, orientation, resolution and field of view, and stored for later recall.

Abstract: The present disclosure concerns methods and/or systems for processing, detecting and/or notifying for the presence of anomalies or infrequent events from data. Some of the disclose methods and/or systems may be used on large-scale data sets. Certain applications are directed to analyzing sensor surveillance records to identify aberrant behavior. The sensor data may be from a number of sensor types including video and/or audio. Certain applications are directed to methods and/or systems that use compressive sensing. Certain applications may be performed in substantially real time.

Abstract: This invention concerns the testing of surveillance camera installations. In particular, the invention involves an automatic testing system for surveillance camera installations, and a method for testing. The invention involves receiving test or “probe” images from at least one camera in the installations. Storing a reference image from at least the one camera. Comparison of the probe image with a reference image from the same camera, and production of an output when maintenance is required for that camera. The comparison involves the steps of: Extracting salient features from both the probe and reference images. Calculating matching factors between the salient features extracted from both images. And, computing a decision about whether maintenance is required from the matching factors.

Abstract: The present disclosure concerns methods and/or systems for processing, detecting and/or notifying for the presence of anomalies or infrequent events from data. Some of the disclose methods and/or systems may be used on large-scale data sets. Certain applications are directed to analyzing sensor surveillance records to identify aberrant behavior. The sensor data may be from a number of sensor types including video and/or audio. Certain applications are directed to methods and/or systems that use compressive sensing. Certain applications may be performed in substantially real time.

Abstract: This invention concerns the testing of surveillance camera installations. In particular, the invention involves an automatic testing system for surveillance camera installations, and a method for testing. The invention involves receiving test or “probe” images from at least one camera in the installations. Storing a reference image from at least the one camera. Comparison of the probe image with a reference image from the same camera, and production of an output when maintenance is required for that camera. The comparison involves the steps of: Extracting salient features from both the probe and reference images. Calculating matching factors between the salient features extracted from both images. And, computing a decision about whether maintenance is required from the matching factors.

Abstract: This invention concerns wide-area video surveillance systems. In a first aspect the invention is a surveillance network, in another aspect the invention is a virtual observer, and in a further aspect the invention is a method for operating a virtual observer. Each segments or frame of video, from each camera of the network is associated with the following trajectory parameters; a time and a spatial position, and possibly a radius, orientation, resolution and field of view, and stored for later recall.

Abstract: A computer assisted method of analysis suitable for process control, comprises the steps of: receiving first data streams representing values from a process; receiving second data streams representing states of the process; recording metadata about the data streams; calculating relationships between pairs of the data streams; and recording relationship data resulting from the calculating step together with an association between at least one relationship datum and its corresponding meta-data.