Methods, systems, and apparatus, including computer programs encoded on a storage device, for monitoring a property using drone beacons. In one aspect, a monitoring system is disclosed that includes a drone, a drone beacon, a component, a processor, and a computer storage media storing instructions that, when executed by the processor, cause the processor to perform operations. The operations may include obtaining drone beacon data generated by the drone beacon, determining a location of the drone beacon based on the drone beacon data, after determining the location of the drone beacon, transmitting, to the drone, a first instruction to navigate towards the location of the drone beacon, after deploying the drone, obtaining component data generated by the component, and after obtaining the component data, transmitting, to the drone, a second instruction to navigate towards a different location than the location of the drone beacon based on the component data.

A portable wireless aircraft security monitoring system including first, second and third apparatuses configured to removably attach to an exterior of an aircraft via vacuum suction mounting devices that may include one or more suction cups. The first and second apparatus may include a camera, a motion sensor, a microphone/speaker, and a data processor; and wherein the camera, motion sensor, and the microphone provide information to the data processor, which wirelessly communicates with the device of the third apparatus to communicate via the Internet to a user smartphone software application. The third apparatus may include a Wi-Fi wireless router hotspot configured to connect to the Internet and may broadcast a Wi-Fi signal which allows the Wi-Fi enabled first and second apparatus to connect to the internet to send/receive data alerts to the user's smartphone.

Systems and methods presented herein include an anti-collision and motion monitoring system includes light detection and ranging (LiDAR) systems configured to detect locations of objects in an environment. The anti-collision and motion monitoring system also includes camera systems configured to capture images of the objects in the environment that are detected by the LiDAR systems. The anti-collision and motion monitoring system further includes processing circuitry configured to coordinate operation of the LiDAR systems and the camera systems, to receive inputs from the LiDAR systems and the camera systems relating to the objects in the environment, to process the inputs received from the LiDAR systems and the camera systems to determine outputs relating to monitoring, control, and alerting relating to the objects in the environment, and to communicate the outputs to a central coordinator.

Methods, systems, and apparatus, including computer programs encoded on a storage device, for monitoring a vehicle access point. In one aspect, a monitoring system is disclosed that includes a processor and a computer storage media storing instructions that, when executed by the processor, cause the processor to perform operations. The operations may include obtaining, by the monitoring system, monitoring system data that is generated by a first monitoring system component, determining, by the monitoring system and based on the monitoring system data, a current occupancy of a vehicle, determining, by the monitoring system and based on the current occupancy of the vehicle, whether a vehicle access point is to be monitored, and in response to determining, by the monitoring system and based on the current occupancy of the vehicle, that the vehicle is not occupied by a human occupant, using one or more second monitoring system components to monitor the vehicle access point.

A drone security system with at least a drone and a drone base having been setup with locations that are part of a tradition security systems and where the traditional security system is in communication with drone base enabling the drone to respond to events that occur in the traditional security system and for the drone to also follow a predetermined path with checkpoints.

An unmanned aircraft includes: a sensor (person detection sensor) and so forth) that performs sensing of an external environment of the unmanned aircraft; a detector (suspicious person identifier) that detects a moving object based on a result of the sensing performed by the sensor; an obtainer (movement prohibition position determiner) that obtains area information indicating an area, entry to which by the moving object is undesirable; and a flight controller that causes the unmanned aircraft to move to a position between the moving object and the area indicated by the area information, based on a positional relation between the moving object and the area, and fly at the position that is a destination position.

Methods, systems, and apparatus, including computer programs encoded on a storage device, for accommodating unattended services at a property. In one aspect, a monitoring system is disclosed that includes a processor and a storage device storing instructions that, when executed by the processor, cause the processor to perform operations. The operations can include receiving a request to enter the property to perform the unattended service, configuring the monitoring system to allow access to a first portion of the property associated with the unattended service without triggering an alarm event, obtaining image data of the property after the monitoring system is configured to allow access to the first portion of the property, determining, based on the obtained image data, that an unattended service provider has entered into a second, different portion of the property, and triggering an alarm event.

Systems and methods to automate both emergency identification and emergency response to minimize response time while optimizing the dispatching of different types of first responders are provided. The system may include an automation system. The automation system may receive a plurality of data elements from a plurality of sensors. The automation system may extract a set of features from the plurality of data elements. The automation system may identify an emergency situation based on the set of features and a set of rules. The automation system may assess the priority of the emergency situation based on a set of data elements associated with the emergency situation and a set of policies. The automation system may select a responder in response to the identified emergency situation. The automation system may dispatch the selected responder to an area related to the identified emergency situation.

Methods and systems for operating a moving platform to determine data associated with a target person or object are disclosed. In an example method to determine at least one of an object or an activity associated with the target, a first moving platform, configured with a first type of sensor, is caused to move to an area associated with the target. The target is located at the area. An attempt is made to determine, via the first moving platform and the first type of sensor, the at least one of the object or activity. Based on the attempt, a second moving platform, configured with a second type of sensor, is caused to move to the area. The at least one of the object or activity associated with the target is determined via the second moving platform and the second type of sensor.

Methods and systems for operating a moving platform to locate a known target at an area associated with the target are disclosed. In an example method to locate the target at the area, a first moving platform, configured with a first type of sensor, is caused to move to the area. An attempt is made to locate, via the first moving platform and the first type of sensor, the target at the area. Based on the attempt, a second moving platform, configured with a second type of sensor, is caused to move to the area. The target is located via the second moving platform and the second type of sensor.