Sunflower Labs Inc.

Christian Eheim

Alexander S Pachikov

Nicolas De Palezieux

Yannik S Nager

Phil Libin

Dennis Kitainik

Erik John

A multicopter landing platform includes a top segment having a first opening at a top portion and a second, smaller opening at a bottom portion, a cross-section at the opening of the bottom portion, and a plurality of grooves formed in the top segment that guide a multicopter from the top portion of the top segment to the cross-section using gravity, the grooves applying a rotational torque to the multicopter to cause the multicopter to assume a particular orientation as the multicopter descends from the first opening of the top segment toward the cross-section. The grooves may engage with protrusions on the multicopter to apply the rotational torque thereto. The number of grooves may be derived from the number of protrusions of the multicopter. The grooves may extend to the cross-section. The grooves may cause the multicopter to rest at a fixed orientation when the multicopter is at the cross-section.

Landing platform with multicopter self-orientation

Directing a camera vehicle includes detecting dynamic objects within a property perimeter that is monitored by the camera vehicle, estimating positions and motion vectors of the objects, and directing the camera vehicle to observe the objects in response to there being uncertainty in estimating the positions and motion vectors of the objects. Motion sensors disposed in the property perimeter may be used to detect dynamic objects. The uncertainty may correspond to co-axial object movement when at least one of the objects moves radially with respect to at least one of the sensors. The uncertainty may correspond to a sudden change of object direction, a sudden acceleration of an object, and/or joint movements of multiple objects. Uncertainty areas may correspond to portions within the property perimeter where the uncertainty in estimating the positions and motion vectors of the objects is detected. The camera vehicle may be an unmanned aerial vehicle.

Optimizing dynamic observation with an autonomous camera vehicle based on uncertain sensor data

Detecting security events and generating corresponding natural language descriptors includes monitoring an area to capture data corresponding to moving objects in the area, classifying the moving objects, generating events based on classifying the moving objects, building an event graph by connecting related ones of the events, using the event graph to detect security events, and building natural language activity descriptors for the security events of the event graph using natural language templates to convert the security events to natural language. The natural language security descriptors may be presented using a verbal request to a voice-enabled assistant, a mandatory notification by the voice-enabled assistant, periodic reports and/or conversational style notifications in a visual format. Data may be captured using sensors, video streams from at least one camera vehicle, smart home devices, presence detection mechanisms, and/or weather data/forecasts. The sensors may include PIR, vibration, light, laser, ultrasonic, seismic, and/or radar sensors.

Capturing and analyzing security events and activities and generating corresponding natural language descriptions

Using at least one mobile security camera to monitor multiple locations includes providing a plurality of landing platforms for the at least one mobile security camera, positioning the at least one mobile security camera at a particular one of the landing platforms in response to the particular one of the landing platforms being a preferred location of the at least one mobile security camera, and moving the at least one mobile security camera from a preferred location to follow a detected object. Using at least one mobile security camera to monitor multiple locations may also include returning the mobile security camera to the particular one of the landing platforms after the at least one mobile security camera follows the detected object. The at least one mobile security camera may perform static monitoring from the first one of the landing platforms and the second one of the landing platforms.

Mobile security camera with multiple landing locations

A multicopter landing platform includes a base portion, a bottom portion, disposed in the base portion, that accepts a protruding portion of the multicopter, and walls of the base portion that are sloped toward the bottom portion. The walls of the base portion may form a conic-shape. The multicopter landing platform may also include a GPS device that sends RTK corrections to a different GPS device on the multicopter. The multicopter landing platform may also include a beacon that guides the multicopter to cause the multicopter to contact the walls of the base station. The beacon may be disposed in the bottom portion. The beacon may provide a signal that is detected by the multicopter. The beacon may provide a light signal that is detected by a camera on the multicopter to guide the multicopter toward the base portion. A charging ring may be disposed in the bottom portion.

Multicopter three-phase precision auto-landing

A security system for monitoring a property includes a plurality of sensor units disposed at different locations throughout the property, an autonomous vehicle that travels throughout the property and contains a camera, and a central station, in communication with the sensor units and the autonomous vehicle, that dispatches the autonomous vehicle to a location corresponding to an unknown object detected by at least some of the sensor units and determined by a processing module of the central station to be a potential intrusion, wherein the autonomous vehicle provides video data of the potential intrusion to the central station. The autonomous vehicle may be a flying vehicle. The autonomous vehicle may be dispatched to a vantage point that is clear of any obstacles and provides an unobstructed view of the location of the potential intruder. A user of the device may approve dispatching the autonomous vehicle.

Security system with distributed sensor units and autonomous camera vehicle

Monitoring an object includes initially detecting motion of the object using at least one of a plurality of sensors disposed at different locations throughout a property, estimating a risk level associated with the object, continuously monitoring the object in response to the object being greater than a pre-determined size and the risk level exceeding a first predetermined threshold in a first predetermined amount of time, and alerting a user in response to the object being continuously monitored and the risk level increasing to a second predetermined threshold within a second predetermined amount of time. Monitoring an object may also include halting monitoring of the object in response to the object leaving the property and/or the risk level being less than the first predetermined threshold for longer than the first predetermined amount of time. At least one of the sensor units may have a column portion that includes a vibration sensor.

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Fällanden, Switzerland

Christian Eheim