The following relates generally to light detection and ranging (LIDAR) and artificial intelligence (AI). In some embodiments, a system: receives LIDAR data generated from a LIDAR camera; measures plurality of dimensions of the home based upon processor analysis of the LIDAR data; builds a 3D model of the home based upon the measured plurality of dimensions; and displays a representation of the 3D model by visually navigating through the 3D model.

Methods are provided for using a light ranging system. A computing system receives, from light ranging devices, ranging data including distance vectors to environmental surfaces. A distance vector can correspond to a pixel of a three-dimensional image stream. The system can identify a pose of a virtual camera relative to the light ranging devices. The light ranging devices are separated from the pose by first vectors that are used to translate some of the distance vectors using the first vectors. The system may determine colors associated with the translated distance vectors and display pixels of the three-dimensional image stream using the colors at pixel positions specified by the translated distance vectors. The system may use one or more models with the ranging data to provide semantic labels that describe a region that has been, or is likely to be, in a collision.

Methods are provided for using a light ranging system. A computing system receives, from light ranging devices, ranging data including distance vectors to environmental surfaces. A distance vector can correspond to a pixel of a three-dimensional image stream. The system can identify a pose of a virtual camera relative to the light ranging devices. The light ranging devices are separated from the pose by first vectors that are used to translate some of the distance vectors using the first vectors. The system may determine colors associated with the translated distance vectors and display pixels of the three-dimensional image stream using the colors at pixel positions specified by the translated distance vectors. The system may use one or more models with the ranging data to provide semantic labels that describe a region that has been, or is likely to be, in a collision.

The present invention is directed to a threat detection and notification system capable of capturing streaming video. The system preferably identifies a first object in a frame of streaming video and determines whether it is consistent with at least one predetermined object type, e.g., “person” or “weapon”. In a first embodiment, if the first object is consistent with a “person” object type, the system determines whether it is recognized as a known entity. If so, the system determines whether or not the first object is in a non-upright orientation. If so, the system generates a first alert notification to at least a first device. In another aspect, if the first object is not recognized as a known entity, the system can further determine whether the first object is recognized as a person-of-interest, and, if so, the system can generate a second alert notification to at least a second device.

The present invention is directed to a threat detection and notification system capable of capturing streaming video. The system preferably identifies a first object in a frame of streaming video and determines whether it is consistent with at least one predetermined object type, e.g., “person” or “weapon”. In a first embodiment, if the first object is consistent with a “person” object type, the system determines whether it is recognized as a known entity. If so, the system determines whether or not the first object is in a non-upright orientation. If so, the system generates a first alert notification to at least a first device. In another aspect, if the first object is not recognized as a known entity, the system can further determine whether the first object is recognized as a person-of-interest, and, if so, the system can generate a second alert notification to at least a second device.

Embodiments may relate to a graphical user interface (GUI). The GUI may include a first portion that displays an image related to images of a location. The GUI may also include a second portion that displays an image related to detection and ranging information of the location. The two images may be linked such that an interaction with an object in one portion of the GUI causes changes in the other portion of the GUI. Other embodiments may be described or claimed.

Embodiments may relate to a graphical user interface (GUI). The GUI may include a first portion that displays an image related to images of a location. The GUI may also include a second portion that displays an image related to detection and ranging information of the location. The two images may be linked such that an interaction with an object in one portion of the GUI causes changes in the other portion of the GUI. Other embodiments may be described or claimed.

The present invention discloses a miniaturized wide-range laser range finder which belongs to the technical field of laser range finding, and comprises a monocular telescopic system, a laser emitting system and a laser receiving system, wherein the monocular telescopic system comprises an objective lens system, a focus adjusting system, a beam splitting prism group, a transparent liquid crystal display unit and an eyepiece system through which visible light passes in sequence; the laser emitting system comprises a laser light source and an emitting lens; the laser receiving system comprises an objective lens system, a focus adjusting system, a beam splitting prism group, a receiving lens, a light filter and a laser receiver through which a laser reflection light signal passes in sequence.

The present invention discloses a miniaturized wide-range laser range finder which belongs to the technical field of laser range finding, and comprises a monocular telescopic system, a laser emitting system and a laser receiving system, wherein the monocular telescopic system comprises an objective lens system, a focus adjusting system, a beam splitting prism group, a transparent liquid crystal display unit and an eyepiece system through which visible light passes in sequence; the laser emitting system comprises a laser light source and an emitting lens; the laser receiving system comprises an objective lens system, a focus adjusting system, a beam splitting prism group, a receiving lens, a light filter and a laser receiver through which a laser reflection light signal passes in sequence.

A method is provided that involves mounting a transmit block and a receive block in a LIDAR device to provide a relative position between the transmit block and the receive block. The method also involves locating a camera at a given position at which the camera can image light beams emitted by the transmit block and can image the receive block. The method also involves obtaining, using the camera, a first image indicative of light source positions of one or more light sources in the transmit block and a second image indicative of detector positions of one or more detectors in the receive block. The method also involves determining at least one offset based on the first image and the second image. The method also involves adjusting the relative position between the transmit block and the receive block based at least in part on the at least one offset.