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 dynamic volume adjustment. A signal including a detected distance to a person may be received from a proximity sensor of a smart home environment. A volume adjustment for a speaker of the smart home environment may be generated based on the detected distance to the person and a sound level associated with the detected distance to the person. The volume of the speaker may be adjusted based on the volume adjustment. A signal from a sensor of the smart home environment indicating that the sensor has been tripped may be received. The proximity sensor may be triggered based on the received signal indicating the sensor has been tripped to detect a distance to the person to generate the detected distance. An alarm may be sounded through the speaker.
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 techniques are provided for occupancy based volume adjustment. A signal including detected locations for several persons may be received. An occupancy model may be generated based on the detected locations. A volume adjustment for a speaker may be generated based on the occupancy model and a target sound level range for each of the detected locations. The volume of the speaker may be adjusted based on the volume adjustment. A signal including a detected location of one other person may be received. A location of other speakers may be received. The occupancy model may be generated based on the detected location of the one other person. The speaker may be determined to be closer to the one other person than any of the other speakers. The volume adjustment for the speaker may be generated based in part on the location of the one other person.
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:
Systems and techniques are provided for occupancy based volume adjustment. A signal including detected locations for several persons may be received. An occupancy model may be generated based on the detected locations. A volume adjustment for a speaker may be generated based on the occupancy model and a target sound level range for each of the detected locations. The volume of the speaker may be adjusted based on the volume adjustment. A signal including a detected location of one other person may be received. A location of other speakers may be received. The occupancy model may be generated based on the detected location of the one other person. The speaker may be determined to be closer to the one other person than any of the other speakers. The volume adjustment for the speaker may be generated based in part on the location of the one other person.
Abstract:
A method of improving wireless communication of an apparatus includes detecting a wireless signal from a wireless communication device at a first signal strength level, detecting the wireless signal increasing from the first strength level to exceed a threshold level associated with the wireless communication device, requesting, by the apparatus, an input from a user of the apparatus when the signal strength exceeds a threshold level associated with the wireless communication device, wherein the input indicates whether the apparatus should cause an action to occur at the wireless communication device, adjusting, at the apparatus, the threshold level associated with the wireless communication device after receiving the input, and automatically transmitting a signal from the apparatus to the wireless communication device to cause the wireless communication device to perform the action when the apparatus detects the wireless signal from the wireless communication device has exceeded the adjusted threshold level.
Abstract:
Systems and techniques are provided for dynamic volume adjustment. A signal including a detected distance to a person may be received from a proximity sensor of a smart home environment. A volume adjustment for a speaker of the smart home environment may be generated based on the detected distance to the person and a sound level associated with the detected distance to the person. The volume of the speaker may be adjusted based on the volume adjustment. A signal from a sensor of the smart home environment indicating that the sensor has been tripped may be received. The proximity sensor may be triggered based on the received signal indicating the sensor has been tripped to detect a distance to the person to generate the detected distance. An alarm may be sounded through the speaker.
Abstract:
System and methods of integrating data captured by one or more sensors of a mobile device with a security system are provided. The systems and method include determining an operating mode of a security system, determining whether a mobile device is located within a predetermined range of the security system, and receiving, by the security system, sensor data collected by the mobile device according to the operating mode of the security system and the determined location of the mobile device.
Abstract:
A system and method is provided for the control of a network of devices wherein each device of the networked devices provides for the operation of a sensor such as an accelerometer, processor and communication element within each device, and network and/or cloud based processing and storage, to process collected data to permit detection and predictive analysis of traffic patterns, weather patterns and other forces of nature. The system and method can analyze duration and magnitude of vibration signals, and considering maps and known locations of devices, tracks and highways and historical data regarding each, use machine learning techniques to accurately classify the motion and provide real-time and predictive analysis.