Abstract: Aspects of the disclosure relate to processing remotely captured sensor data. A computing platform having at least one processor, a communication interface, and memory may receive, via the communication interface, from a user computing device, sensor data captured by the user computing device using one or more sensors built into the user computing device. Subsequently, the computing platform may analyze the sensor data received from the user computing device by executing one or more data processing modules. Then, the computing platform may generate trip record data based on analyzing the sensor data received from the user computing device and may store the trip record data in a trip record database. In addition, the computing platform may generate user record data based on analyzing the sensor data received from the user computing device and may store the user record data in a user record database.

Abstract: A method for recognizing a state of an eye for a laser device. The method includes reading in an eye parameter using the laser device, which represents a movement of the eye. The eye parameter is compared with a first and/or with a second reference parameter in order to obtain a comparison result. A type of movement of the eye is determined using the comparison result, which represents a saccadic eye movement when the eye parameter has a greater value than the first reference parameter. The type of movement represents a smooth eye movement when the eye parameter has a value which corresponds to the second reference parameter and at most to the first reference parameter. A viewing direction is ascertained as a function of the determined type of movement.

Abstract: A method for recognizing a state of an eye for a laser device. The method includes reading in an eye parameter using the laser device, which represents a movement of the eye. The eye parameter is compared with a first and/or with a second reference parameter in order to obtain a comparison result. A type of movement of the eye is determined using the comparison result, which represents a saccadic eye movement when the eye parameter has a greater value than the first reference parameter. The type of movement represents a smooth eye movement when the eye parameter has a value which corresponds to the second reference parameter and at most to the first reference parameter. A viewing direction is ascertained as a function of the determined type of movement.

Abstract: Aspects of the disclosure relate to processing remotely captured sensor data. A computing platform having at least one processor, a communication interface, and memory may receive, via the communication interface, from a user computing device, sensor data captured by the user computing device using one or more sensors built into the user computing device. Subsequently, the computing platform may analyze the sensor data received from the user computing device by executing one or more data processing modules. Then, the computing platform may generate trip record data based on analyzing the sensor data received from the user computing device and may store the trip record data in a trip record database. In addition, the computing platform may generate user record data based on analyzing the sensor data received from the user computing device and may store the user record data in a user record database.

Abstract: Aspects of the disclosure relate to processing remotely captured sensor data. A computing platform having at least one processor, a communication interface, and memory may receive, via the communication interface, from a user computing device, sensor data captured by the user computing device using one or more sensors built into the user computing device. Subsequently, the computing platform may analyze the sensor data received from the user computing device by executing one or more data processing modules. Then, the computing platform may generate trip record data based on analyzing the sensor data received from the user computing device and may store the trip record data in a trip record database. In addition, the computing platform may generate user record data based on analyzing the sensor data received from the user computing device and may store the user record data in a user record database.

Abstract: Aspects of the disclosure relate to processing remotely captured sensor data. A computing platform having at least one processor, a communication interface, and memory may receive, via the communication interface, from a user computing device, sensor data captured by the user computing device using one or more sensors built into the user computing device. Subsequently, the computing platform may analyze the sensor data received from the user computing device by executing one or more data processing modules. Then, the computing platform may generate trip record data based on analyzing the sensor data received from the user computing device and may store the trip record data in a trip record database. In addition, the computing platform may generate user record data based on analyzing the sensor data received from the user computing device and may store the user record data in a user record database.

Abstract: Aspects of the disclosure relate to processing remotely captured sensor data. A computing platform having at least one processor, a communication interface, and memory may receive, via the communication interface, from a user computing device, sensor data captured by the user computing device using one or more sensors built into the user computing device. Subsequently, the computing platform may analyze the sensor data received from the user computing device by executing one or more data processing modules. Then, the computing platform may generate trip record data based on analyzing the sensor data received from the user computing device and may store the trip record data in a trip record database. In addition, the computing platform may generate user record data based on analyzing the sensor data received from the user computing device and may store the user record data in a user record database.

Abstract: One or more devices in a data analysis computing system may be configured to receive and analyze movement data and determine driving trips based on the received data. The driving trips may be used along with the movement data to authenticate drivers based on a determined driver profile.

Abstract: Aspects of the disclosure relate to processing remotely captured sensor data. A computing platform having at least one processor, a communication interface, and memory may receive, via the communication interface, from a user computing device, sensor data captured by the user computing device using one or more sensors built into the user computing device. Subsequently, the computing platform may analyze the sensor data received from the user computing device by executing one or more data processing modules. Then, the computing platform may generate trip record data based on analyzing the sensor data received from the user computing device and may store the trip record data in a trip record database. In addition, the computing platform may generate user record data based on analyzing the sensor data received from the user computing device and may store the user record data in a user record database.

Abstract: The present invention provides an optical fire sensor device and a corresponding fire detection method. The optical fire sensor device is equipped with an optical particle detection unit (10), which is configured to ascertain measured values of a particle number in a measurement volume range (FA) as a function of a particle size in a predetermined particle size range and/or as a function of a particle speed in a predetermined particle speed range, a fire detection unit (20), which is configured to ascertain respective distributions of the measured values and to compare at least one parameter of the ascertained distributions to at least one predetermined criterion. The fire detection unit (20) is configured to detect a fire (B) in consideration of the comparison. An alarm unit (30, 40) is used to output an alarm signal in response to the detection of the fire (B) by the fire detection unit (20).

Abstract: Aspects of the disclosure relate to processing remotely captured sensor data. A computing platform having at least one processor, a communication interface, and memory may receive, via the communication interface, from a user computing device, sensor data captured by the user computing device using one or more sensors built into the user computing device. Subsequently, the computing platform may analyze the sensor data received from the user computing device by executing one or more data processing modules. Then, the computing platform may generate trip record data based on analyzing the sensor data received from the user computing device and may store the trip record data in a trip record database. In addition, the computing platform may generate user record data based on analyzing the sensor data received from the user computing device and may store the user record data in a user record database.

Abstract: One or more devices in a data analysis computing system may be configured to receive and analyze movement data and determine driving trips based on the received data. The driving trips may be used along with the movement data to authenticate drivers based on a determined driver profile.

Abstract: Aspects of the disclosure relate to processing remotely captured sensor data. A computing platform having at least one processor, a communication interface, and memory may receive, via the communication interface, from a user computing device, sensor data captured by the user computing device using one or more sensors built into the user computing device. Subsequently, the computing platform may analyze the sensor data received from the user computing device by executing one or more data processing modules. Then, the computing platform may generate trip record data based on analyzing the sensor data received from the user computing device and may store the trip record data in a trip record database. In addition, the computing platform may generate user record data based on analyzing the sensor data received from the user computing device and may store the user record data in a user record database.

Abstract: An optical particle sensor apparatus is equipped with a housing (MD) having an optical exit region (OF); an optical emitter device (LD) in the housing that is set up to emit an optical measurement beam (OB) for capturing particles; a focusing lens device (LE) in the housing for directing the optical measurement beam through the optical exit region to outside the housing in a focus region (FA), within which particle capturing is performable; an optical detector device (DD) arranged in the housing and set up to capture the measurement beam (OB?) scattered by particles (P) and to output information produced using an algorithm relating to the presence of the particles; and a controllable adaptation device (C, E), which is set up to adapt at least one optical property of the lens device and/or of the optical emitter device and/or of the optical detector device based on an input signal (ES; ES?) that provides information relating to a presence and to optical properties of an external optical window (EF) arranged be

Abstract: A system for determining a particle contamination and a method for determining a particle contamination in a measurement environment is provided in which individual particles in the measurement environment are detected (S1), wherein a) an estimate of the number of particles per volume in the measurement environment is ascertained (S2), b) an estimate of the number of particles per volume and characterization information describing the particle source in the measurement information are taken as a basis for ascertaining an output value for the particle contamination in the measurement environment (S3), and c) context-related data are made available and the characterization information is estimated on the basis of the available context-related data (S4).

Abstract: Aspects of the disclosure relate to processing remotely captured sensor data. A computing platform having at least one processor, a communication interface, and memory may receive, via the communication interface, from a user computing device, sensor data captured by the user computing device using one or more sensors built into the user computing device. Subsequently, the computing platform may analyze the sensor data received from the user computing device by executing one or more data processing modules. Then, the computing platform may generate trip record data based on analyzing the sensor data received from the user computing device and may store the trip record data in a trip record database. In addition, the computing platform may generate user record data based on analyzing the sensor data received from the user computing device and may store the user record data in a user record database.

Abstract: Aspects of the disclosure relate to processing remotely captured sensor data. A computing platform having at least one processor, a communication interface, and memory may receive, via the communication interface, from a user computing device, sensor data captured by the user computing device using one or more sensors built into the user computing device. Subsequently, the computing platform may analyze the sensor data received from the user computing device by executing one or more data processing modules. Then, the computing platform may generate trip record data based on analyzing the sensor data received from the user computing device and may store the trip record data in a trip record database. In addition, the computing platform may generate user record data based on analyzing the sensor data received from the user computing device and may store the user record data in a user record database.

Abstract: A system for determining a particle contamination and a method for determining a particle contamination in a measurement environment, is provided in which individual particles in the measurement environment are detected (S1), wherein a) an estimate of the number of particles per volume in the measurement environment is ascertained (S2), b) an estimate of the number of particles per volume and characterization information describing the particle source in the measurement information are taken as a basis for ascertaining an output value for the particle contamination in the measurement environment (S3), and c) context-related data are made available and the characterization information is estimated on the basis of the available context-related data (S4).

Abstract: The present invention provides an optical fire sensor device and a corresponding fire detection method. The optical fire sensor device is equipped with an optical particle detection unit (10), which is configured to ascertain measured values of a particle number in a measurement volume range (FA) as a function of a particle size in a predetermined particle size range and/or as a function of a particle speed in a predetermined particle speed range, a fire detection unit (20), which is configured to ascertain respective distributions of the measured values and to compare at least one parameter of the ascertained distributions to at least one predetermined criterion. The fire detection unit (20) is configured to detect a fire (B) in consideration of the comparison. An alarm unit (30, 40) is used to output an alarm signal in response to the detection of the fire (B) by the fire detection unit (20).

Abstract: The present invention provides a portable optical particle sensor apparatus and a corresponding particle measurement method. The portable optical particle sensor apparatus is equipped with an optical particle concentration capture device (10) which is set up to determine measured values of an instantaneous particle concentration of predetermined particles in an event-controlled measurement mode, and an event capture device (50; 50?; 50?) for capturing at least one predetermined local event relating to the environment of the optical particle sensor apparatus (10) and for activating the event-controlled measurement mode in response to the capture of the at least one predetermined local event.