Abstract: An image of at least a portion of a room may be received, the image of the room comprising an image of a sensor mounted in the room. At least one optical parameter related to the image of the room may also be received. A distance may be determined between the sensor and a camera that captured the image of the room, wherein the determination of the distance is based at least in part on the optical parameters and on known physical dimensions of the sensor. A sensitivity requirement of the sensor may be determined, based on the distance. The determined sensitivity may be sent to control logic of the sensor.

Abstract: Systems and methods of using active infrared (AIR) sensors to map a room of a home or building and determine whether an external portal (e.g., window and/or door) of the room is open or closed are provided. In particular, the systems and methods include outputting infrared (IR) light from an IR light source of an active infrared (AIR) sensor, receiving reflected IR light with a light sensor, and determining, with a processor coupled to the light sensor, whether a window of a room is open according to the received reflected IR light.

Abstract: Systems and techniques are provided for blocked sensor detection and notification. A signal may be received from a sensor. The sensor may be determined to be producing anomalous output based on checking the signal from the sensor against a signal from a second sensor on the same sensor device as the sensor, checking the signal from the sensor against signals from sensors on additional sensor devices, and checking the signal from the sensor against a slow temporal model for the sensor. In response to the determination that the sensor is producing anomalous output, a notification may be generated indicating the sensor is producing anomalous output, and a confidence level in the sensor may be degraded.

Abstract: A system and method for detecting human intruders while rejecting/ignoring an occupant's registered pet. An object detection system is configured to detect an object that is present in a monitored area and generate a signal output relative to the type of object. A signature processor is configured to receive the generated signal output and produce an object signature, and compare a threshold signature to the object signature, wherein the threshold signature is generated using a photograph of a reserved object, and wherein the object detection system rejects the detected object when the object signature is determined to be similar to the threshold signatures.

Abstract: A method includes capturing data with a plurality of network connected sensors installed in or around a premises, storing at least a sampling of the data in an electronic storage device, analyzing the stored data with a processor to automatically identify one or more types of trends or patterns, creating, based on the analysis, a zone definition for a first zone that corresponds to an area of the premises from which data was captured by one or more sensors selected from among the plurality of sensors, and configuring at least one system operating in or around the premises automatically based on the first zone definition.

Abstract: Methods and apparatus relating to a pyroelectric IR (PIR) motion sensor are provided. The provided PIR motion sensor can be used to determine an angular position of a moving person relative to the PIR motion sensor. The provided PIR motion sensor can be used to determine a proximity of a moving person relative to the PIR motion sensor. The angular position and the proximity can be used to identify a false alarm, estimate occupancy of a region, enable tracking of a target, and the like. In an example, the provided PIR motion sensor includes multiple PIR sensors and a Fresnel lens including lenslets configured to direct received IR radiation to at least two of the PIR sensors.

Abstract: A passive infrared sensor system for detecting the direction of movement by a warm object includes a passive infrared sensor and a lens having multiple lenslets. Different lenslets may have different lens characteristics, for example, different focal lengths or thicknesses, to produce focused infrared beams of different intensities for the sensor. As a warm object, such as a person or an animal, moves from one location to another in the field of view of the sensor, the infrared energy emitted by the warm object may be focused by different lenslets having different focal lengths or thicknesses, and the sensor may detect different intensities at different times. A processor may estimate the direction of movement by performing pattern matching of the detected intensities with a database of patterns based on actual statistics or simulations of movements by warm objects in the environment monitored by the sensor, or known characteristics of the environment and the sensor.

Abstract: Systems and techniques are provided for motion sensor adjustment. A signal indicating that motion was detected by a motion sensor may be received. A status of an HVAC system may be received from a computing device that controls the operation of vents of the HVAC system. The status of the HVAC system may include times vents of the HVAC system are operating. Using the status of the HVAC system, it may be determined that a vent of the HVAC system located in an area visible to the motion sensor was operating during the time period in which the motion sensor detected motion by correlating the time period in which the motion sensor detected motion with the times the vent was operating as indicated by the status of the HVAC system. The signal indicating that motion was detected may be ignored as a false alert and no alert may be generated.

Abstract: A passive infrared motion detection sensor that includes a Fresnel focusing arrangement that creates at least a first infrared sensing region, a second infrared sensing region, and a third infrared sensing region, in which target detection in one or more infrared sensing regions is weighted to be distinguishable from target detection in remaining infrared sensing regions. The Fresnel focusing arrangement creates the weighted infrared sensing regions using a lenslet region, an optically opaque region and a plurality of extruded cylindrical lenslets that extend across a portion of both the lenslet region and the optically opaque region. The signal detection in at least the second weighted infrared sensing region, for example, an infrared sensing range between 6 and 10 feet, is weighted to easily distinguish between a pet within the second infrared sensing range and a person at any infrared sensing range.

Abstract: A passive infrared motion detection sensor that includes a Fresnel focusing arrangement that creates at least a first infrared sensing region, a second infrared sensing region, and a third infrared sensing region, in which target detection in one or more infrared sensing regions is weighted to be distinguishable from target detection in remaining infrared sensing regions. The Fresnel focusing arrangement creates the weighted infrared sensing regions using a lenslet region, an optically opaque region and a plurality of extruded cylindrical lenslets that extend across a portion of both the lenslet region and the optically opaque region. The signal detection in at least the second weighted infrared sensing region, for example, an infrared sensing range between 6 and 10 feet, is weighted to easily distinguish between a pet within the second infrared sensing range and a person at any infrared sensing range.

Abstract: A passive infrared motion detection sensor that includes a Fresnel focusing arrangement that creates at least a first infrared sensing region, a second infrared sensing region, and a third infrared sensing region, in which target detection in one or more infrared sensing regions is weighted to be distinguishable from target detection in remaining infrared sensing regions. The Fresnel focusing arrangement creates the weighted infrared sensing regions using a lenslet region, an optically opaque region and a plurality of extruded cylindrical lenslets that extend across a portion of both the lenslet region and the optically opaque region. The signal detection in at least the second weighted infrared sensing region, for example, an infrared sensing range between 6 and 10 feet, is weighted to easily distinguish between a pet within the second infrared sensing range and a person at any infrared sensing range.

Abstract: Systems and methods of using active infrared (AIR) sensors to map a room of a home or building and determine whether an external portal (e.g., window and/or door) of the room is open or closed are provided. In particular, the systems and methods include outputting infrared (IR) light from an IR light source of an active infrared (AIR) sensor, receiving reflected IR light with a light sensor, and determining, with a processor coupled to the light sensor, whether a window of a room is open according to the received reflected IR light.

Abstract: An image of at least a portion of a room may be received, the image of the room comprising an image of a sensor mounted in the room. At least one optical parameter related to the image of the room may also be received. A distance may be determined between the sensor and a camera that captured the image of the room, wherein the determination of the distance is based at least in part on the optical parameters and on known physical dimensions of the sensor. A sensitivity requirement of the sensor may be determined, based on the distance. The determined sensitivity may be sent to control logic of the sensor.

Abstract: A system and method for detecting human intruders while rejecting/ignoring an occupant's registered pet. An object detection system is configured to detect an object that is present in a monitored area and generate a signal output relative to the type of object. A signature processor is configured to receive the generated signal output and produce an object signature, and compare a threshold signature to the object signature, wherein the threshold signature is generated using a photograph of a reserved object, and wherein the object detection system rejects the detected object when the object signature is determined to be similar to the threshold signatures.

Abstract: Systems and methods of using active infrared (AIR) sensors to map a room of a home or building and determine whether an external portal (e.g., window and/or door) of the room is open or closed are provided. In particular, the systems and methods include outputting infrared (IR) light from an IR light source of an active infrared (AIR) sensor, receiving reflected IR light with a light sensor, and determining, with a processor coupled to the light sensor, whether a window of a room is open according to the received reflected IR light.

Abstract: A system and method for automatic path light control based on a detected size and classification of motion around the device using passive infrared (PIR) sensor technologies and distributed classification algorithms, and on detected light levels in and around the path area using ambient light sensor (ALS) technologies. By using such sensor data, the path light does not need to be maintained at a fixed value, which may be inadequate or inefficient at times, nor require constant user adjustments. Implementations of the disclosed subject matter enable automatic path light control that can be dynamic and automatically adjusted to fit the environment, the current user characteristics and the current user movements through the environment.

Abstract: Methods and apparatus relating to a pyroelectric IR (PIR) motion sensor are provided. The provided PIR motion sensor can be used to determine an angular position of a moving person relative to the PIR motion sensor. The provided PIR motion sensor can be used to determine a proximity of a moving person relative to the PIR motion sensor. The angular position and the proximity can be used to identify a false alarm, estimate occupancy of a region, enable tracking of a target, and the like. In an example, the provided PIR motion sensor includes multiple PIR sensors and a Fresnel lens including lenslets configured to direct received IR radiation to at least two of the PIR sensors.

Abstract: A system is disclosed for determining the size and location of an object in a monitored area. The system includes a passive infrared sensor (PIR) configured to detect infrared radiation in a monitored area, a lens system including a plurality of lenslets, the plurality of lenslets encoded to create a mask area within the monitored area, a reflective element configured to focus the infrared radiation in the monitored area onto the PIR sensor, and a processor. The processor is configured to detect a moving object in the monitored area, initiate the movement of the reflective element, generating an object signature over time as the reflective element is moved, and the size and location of the object is determined based on the object signature.

Abstract: Systems and techniques are provided for motion sensor adjustment. A signal indicating that motion was detected by a motion sensor may be received. A status of an HVAC system may be received from a computing device that controls the operation of vents of the HVAC system. The status of the HVAC system may include times vents of the HVAC system are operating. Using the status of the HVAC system, it may be determined that a vent of the HVAC system located in an area visible to the motion sensor was operating during the time period in which the motion sensor detected motion by correlating the time period in which the motion sensor detected motion with the times the vent was operating as indicated by the status of the HVAC system. The signal indicating that motion was detected may be ignored as a false alert and no alert may be generated.

Abstract: A passive infrared sensor system for detecting the direction of movement by a warm object includes a passive infrared sensor and a lens having multiple lenslets. Different lenslets may have different lens characteristics, for example, different focal lengths or thicknesses, to produce focused infrared beams of different intensities for the sensor. As a warm object, such as a person or an animal, moves from one location to another in the field of view of the sensor, the infrared energy emitted by the warm object may be focused by different lenslets having different focal lengths or thicknesses, and the sensor may detect different intensities at different times. A processor may estimate the direction of movement by performing pattern matching of the detected intensities with a database of patterns based on actual statistics or simulations of movements by warm objects in the environment monitored by the sensor, or known characteristics of the environment and the sensor.