Abstract: A method includes receiving, from a plurality of magnetic field receivers including magnetic sensors, data characterizing samples obtained by the plurality of magnetic field receivers, the samples of a combination of a first magnetic field and a second magnetic field resulting from interaction of the first magnetic field and an object; determining, using the received data, a polarizability index of the object, the polarizability index characterizing a magnetic polarizability property of the object; classifying, using the determined polarizability index, the object as threat or non-threat; and providing the classification. Related apparatus, systems, techniques, and articles are also described.

Abstract: A method includes receiving, from a plurality of magnetic field receivers including magnetic sensors, data characterizing samples obtained by the plurality of magnetic field receivers, the samples of a combination of a first magnetic field and a second magnetic field resulting from interaction of the first magnetic field and an object; determining, using the received data, a polarizability index of the object, the polarizability index characterizing a magnetic polarizability property of the object; classifying, using the determined polarizability index, the object as threat or non-threat; and providing the classification. Related apparatus, systems, techniques, and articles are also described.

Abstract: A method includes receiving, from a plurality of magnetic field receivers including magnetic sensors, data characterizing samples obtained by the plurality of magnetic field receivers, the samples of a combination of a first magnetic field and a second magnetic field resulting from interaction of the first magnetic field and an object; determining, using the received data, a polarizability index of the object, the polarizability index characterizing a magnetic polarizability property of the object; classifying, using the determined polarizability index, the object as threat or non-threat; and providing the classification. Related apparatus, systems, techniques, and articles are also described.

Abstract: A method includes receiving, from a plurality of magnetic field receivers including magnetic sensors, data characterizing samples obtained by the plurality of magnetic field receivers, the samples of a combination of a first magnetic field and a second magnetic field resulting from interaction of the first magnetic field and an object; determining, using the received data, a polarizability index of the object, the polarizability index characterizing a magnetic polarizability property of the object; classifying, using the determined polarizability index, the object as threat or non-threat; and providing the classification. Related apparatus, systems, techniques, and articles are also described.

Abstract: A method for determining an identity of an individual is provided. The method can include receiving a first unique identifier from a first device associated with a first individual. The method can also include receiving biometric data associated with the first individual. The method can further include determining an identity of the first individual by filtering a database to generate a set of candidate identities. The database can include associations of a registered identity, a registered unique identifier, and registered biometric data for each of a plurality of individuals. Determining the identity of the first individual can also include comparing the received biometric data to registered biometric data in the database of at least one candidate identity, and selecting the identity from the set of candidate identities. The method can also include providing the identity. Related systems, apparatuses, and computer-readable mediums are also provided.

Abstract: A method includes receiving, from a plurality of magnetic field receivers including magnetic sensors, data characterizing samples obtained by the plurality of magnetic field receivers, the samples of a combination of a first magnetic field and a second magnetic field resulting from interaction of the first magnetic field and an object; determining, using the received data, a polarizability index of the object, the polarizability index characterizing a magnetic polarizability property of the object; classifying, using the determined polarizability index, the object as threat or non-threat; and providing the classification. Related apparatus, systems, techniques, and articles are also described.

Abstract: A method includes receiving, from a plurality of magnetic field receivers including magnetic sensors, data characterizing samples obtained by the plurality of magnetic field receivers, the samples of a combination of a first magnetic field and a second magnetic field resulting from interaction of the first magnetic field and an object; determining, using the received data, a polarizability index of the object, the polarizability index characterizing a magnetic polarizability property of the object; classifying, using the determined polarizability index, the object as threat or non-threat; and providing the classification. Related apparatus, systems, techniques, and articles are also described.

Abstract: A method includes receiving, from a plurality of magnetic field receivers including magnetic sensors, data characterizing samples obtained by the plurality of magnetic field receivers, the samples of a combination of a first magnetic field and a second magnetic field resulting from interaction of the first magnetic field and an object; determining, using the received data, a polarizability index of the object, the polarizability index characterizing a magnetic polarizability property of the object; classifying, using the determined polarizability index, the object as threat or non-threat; and providing the classification. Related apparatus, systems, techniques, and articles are also described.

Abstract: Data is received characterizing a request for agent computation of sensor data. The request includes a required confidence and required latency for completion of the agent computation. Agents to query are determined based on the required confidence. Data is transmitted to query the determined agents to provide analysis of the sensor data. Related apparatus, systems, techniques, and articles are also described.

Abstract: A modular imaging system includes an antenna panels, a sensor, and at least one data processor. The antenna panels include an array of antenna elements including at least two antenna elements separated by a spacing more than a half wavelength. The plurality of antenna panels are configurable to be spatially arranged and oriented with respect to one another to measure radar returns of an observation domain for a target. The sensor has a field of view overlapping the observation domain and for measuring an image. The at least one data processor forms part of at least one computing system and is adapted to receive data characterizing the optical image and the radar returns, determine a spatial location of the target, and construct a radar return image of the target using a sparsity constraint determined from the spatial location of the target. Related apparatus, systems, techniques, and articles are also described.

Abstract: Sensor data is received. The sensor data is classified into one of two or more classes by at least requesting processing of a machine computational component, receiving a result of the machine computation component, requesting processing of an agent computation component, and receiving a result of the agent computation component. The agent computation component includes a platform to query an agent. The result from the agent computation component or the result from the machine computation component is provided. Related apparatus, systems, techniques, and articles are also described.

Abstract: Sensor data is received. The sensor data is classified into one of two or more classes by at least requesting processing of a machine computational component, receiving a result of the machine computation component, requesting processing of an agent computation component, and receiving a result of the agent computation component. The agent computation component includes a platform to query an agent. The result from the agent computation component or the result from the machine computation component is provided. Related apparatus, systems, techniques, and articles are also described.

Abstract: Data is received characterizing a request for agent computation of sensor data. The request includes a required confidence and required latency for completion of the agent computation. Agents to query are determined based on the required confidence. Data is transmitted to query the determined agents to provide analysis of the sensor data. Related apparatus, systems, techniques, and articles are also described.

Abstract: Data is received characterizing a request for agent computation of sensor data. The request includes a required confidence and required latency for completion of the agent computation. Agents to query are determined based on the required confidence. Data is transmitted to query the determined agents to provide analysis of the sensor data. Related apparatus, systems, techniques, and articles are also described.

Abstract: A modular imaging system includes an antenna panels, a sensor, and at least one data processor. The antenna panels include an array of antenna elements including at least two antenna elements separated by a spacing more than a half wavelength. The plurality of antenna panels are configurable to be spatially arranged and oriented with respect to one another to measure radar returns of an observation domain for a target. The sensor has a field of view overlapping the observation domain and for measuring an image. The at least one data processor forms part of at least one computing system and is adapted to receive data characterizing the optical image and the radar returns, determine a spatial location of the target, and construct a radar return image of the target using a sparsity constraint determined from the spatial location of the target. Related apparatus, systems, techniques, and articles are also described.

Abstract: The subject matter disclosed herein provides methods for detecting a user's loss of focus while reading content from an electronic device, paper, or other medium and prompting the user to refocus his/her concentration. This method can maintain a user profile that includes alert parameters. The alert parameters can include a prompt timer period and a type of prompt to be generated. The prompt timer period can specify a maximum allowable gaze time before one or more prompts are generated. The method can determine whether data received from a device tracking a movement by one or both eyes of a user is representative of active reading of content viewed by the user. One or more prompts can be generated based on the determining. Related apparatus, systems, techniques, and articles are also described.

Abstract: In one embodiment, the present invention provides a CT scanner system for use in baggage screening at security checkpoints.

Abstract: A system and method for baggage screening at security checkpoints. A CT scanner system processes x-ray data to locate and eliminate non-contraband without a full CT reconstruction of the entire bag. The CT scanner system utilizes lineogram data to disqualify objects of insufficient size, density, or mass as potential threats. Objects can be inspected with CT reconstruction. The CT scanner is capable of obtaining CT data and projection images. Multiple CT scanning systems can be multiplexed together, and each CT scanning system is in communication with a review station. Baggage scanning may also be based on security intelligence inputs such as CAPPS to increase throughput.

Abstract: A reduced size CT scanner for baggage inspection has a wide angle x-ray source and multiple sets of detectors at different distances from the x-ray source. The detectors in each set are sized and positioned to maintain consistent pitch and flux levels among all detectors. Conventional reconstruction processes can be used to process the data from the CT scanner. The scanner may also be incorporated into a check-in desk in a network of scanners.

Abstract: The threat determination process for CT scan of baggage eliminates the need for complete reconstruction the bag. The CT scan data is analyzed during scanning to locate potential threats. The analysis is based upon a lineogram representing objects in the bag. The mass, size, location and atomic number of objects are determined based upon the lineogram data. Any potential threats are further subjected to data modification and reconstruction to enhance the view of the potential threat. Dual energy scanning may also be used to determine density for resolution of potential threats.