A system and computer-implemented method for processing large amounts of sensor data, in which anomalous data is identified and transmitted in real time to a remote location for processing, and non-anomalous data is stored locally for later transmission during an off-peak time. In an insurance implementation, a local device receives sensor data, and identifies and transmits the anomalous data, while a remote server receives and analyzes the transmitted anomalous data, and based at least thereon, recommends an insurance premium. The insurance premium may be for vehicle, property, or health or life insurance. The anomalous data may be defined objectively or subjectively, and may be identified by an artificial intelligence tool. The remote server may generate a report, which may include a score, and transmit the report to the local device for display. The remote server may base the report and the insurance premium on the combined anomalous and non-anomalous data.

A system and computer-implemented method for processing large amounts of sensor data, in which anomalous data is identified and transmitted in real time to a remote location for processing, and non-anomalous data is stored locally for later transmission during an off-peak time. In an insurance implementation, a local device receives sensor data, and identifies and transmits the anomalous data, while a remote server receives and analyzes the transmitted anomalous data, and based at least thereon, recommends an insurance premium. The insurance premium may be for vehicle, property, or health or life insurance. The anomalous data may be defined objectively or subjectively, and may be identified by an artificial intelligence tool. The remote server may generate a report, which may include a score, and transmit the report to the local device for display. The remote server may base the report and the insurance premium on the combined anomalous and non-anomalous data.

A system and computer-implemented method for processing large amounts of sensor data, in which anomalous data is identified and transmitted in real time to a remote location for processing, and non-anomalous data is stored locally for later transmission during an off-peak time. In an insurance implementation, a local device receives sensor data, and identifies and transmits the anomalous data, while a remote server receives and analyzes the transmitted anomalous data, and based at least thereon, recommends an insurance premium. The insurance premium may be for vehicle, property, or health or life insurance. The anomalous data may be defined objectively or subjectively, and may be identified by an artificial intelligence tool. The remote server may generate a report, which may include a score, and transmit the report to the local device for display. The remote server may base the report and the insurance premium on the combined anomalous and non-anomalous data.

A system and computer-implemented method for processing large amounts of sensor data, in which anomalous data is identified and transmitted in real time to a remote location for processing, and non-anomalous data is stored locally for later transmission during an off-peak time. In an insurance implementation, a local device receives sensor data, and identifies and transmits the anomalous data, while a remote server receives and analyzes the transmitted anomalous data, and based at least thereon, recommends an insurance premium. The insurance premium may be for vehicle, property, or health or life insurance. The anomalous data may be defined objectively or subjectively, and may be identified by an artificial intelligence tool. The remote server may generate a report, which may include a score, and transmit the report to the local device for display. The remote server may base the report and the insurance premium on the combined anomalous and non-anomalous data.

A system and computer-implemented method for processing large amounts of sensor data, in which anomalous data is identified and transmitted in real time to a remote location for processing, and non-anomalous data is stored locally for later transmission during an off-peak time. In an insurance implementation, a local device receives sensor data, and identifies and transmits the anomalous data, while a remote server receives and analyzes the transmitted anomalous data, and based at least thereon, recommends an insurance premium. The insurance premium may be for vehicle, property, or health or life insurance. The anomalous data may be defined objectively or subjectively, and may be identified by an artificial intelligence tool. The remote server may generate a report, which may include a score, and transmit the report to the local device for display. The remote server may base the report and the insurance premium on the combined anomalous and non-anomalous data.

A package deposit enclosure designed for public use is powered by an efficient storage battery and photovoltaic cell array. These unique features allow the package deposit enclosure to be placed in locations where no power is available, but where there is frequent human traffic. Sensing and wireless data communication features allow the unit to be emptied less often than typical package delivery enclosures. Wireless communication also allows users' access to real-time information. On board power enables other functions, such as lighting and audio, to enhance device functionality.

A package deposit enclosure designed for public use is powered by an efficient storage battery and photovoltaic cell array. These unique features allow the package deposit enclosure to be placed in locations where no power is available, but where there is frequent human traffic. Sensing and wireless data communication features allow the unit to be emptied less often than typical package delivery enclosures. Wireless communication also allows users' access to real-time information. On board power enables other functions, such as lighting and audio, to enhance device functionality.

Methods and systems are described for monitoring a monitored space. An example computer-implemented method for monitoring a monitored space includes periodically emitting with an active infrared sensor a modulated infrared signal into a monitored space being monitored by a home automation system, receiving with the active infrared sensor the modulated infrared signals reflected from objects in the monitored space, and determining at least one of whether a number of objects in the monitored space have changed and whether any of the objects are moving.

In one implementation, a wireless security system premises gateway component includes a first local area wireless communication component adapted to communicate wirelessly with plural wireless security system sensors distributed at a premises; a second local area wireless communication component adapted to communicate wirelessly with a general purpose mobile communications device; a communications interface component adapted to communicate with a wide area communications network that is located remotely of the premises; a security system controller component adapted to communicate with the general purpose mobile communications device to provide state information regarding the security system and to provide control inputs to the security system; and a single gateway housing configured and sized to house the first local area wireless communication component, the second local area wireless communication component, the communications interface component, and the security system controller.

Systems and methods for making a marker. The methods comprise: obtaining a marker housing having first and second cavities formed therein; disposing a first resonator in the first cavity and a second resonator in a second cavity; and placing a bias element at a location on or in the marker so that the first and second resonators are (a) equally spaced apart from the same bias element and (b) biased by the same bias element when the marker is in use to oscillate at a frequency of a received transmit burst.