A method and system for converting privacy zone corner points in a still image to PTZ coordinates using the equations for distance along the great circles of a sphere, where the sphere is defined along the pan-tilt axes of a PTZ camera with radius equal to the focal length of the image. The method includes receiving planar coordinate data defining a plurality of privacy zone corner points, the planar coordinate data taken from a still image, converting each privacy zone corner point to corresponding spherical coordinates, converting each of the corresponding spherical coordinates to corresponding PTZ coordinates, and storing the corresponding PTZ coordinates in a storage device. The stored PTZ coordinates may then be transmitted to a computer monitor. The motor of the PTZ camera moves the camera according to the PTZ coordinates until the privacy zone corner points appear at the substantial center of the monitor screen.

According to some embodiments of the present invention there may be provided one or more video surveillance units including: (i) video capturing equipment (e.g. a video camera), (ii) processing circuitry adapted to modify/sanitize video streams captured by the video capturing equipment to generate sanitized video streams devoid of privacy infringing data/images, and (iii) communication circuitry for transmitting sanitized video streams to one or more monitoring units for analysis. The monitoring units, in turn, may analyze the sanitized video streams to identify security events occurring within the area being captured by the surveillance units.

A system includes an imaging part that captures an image, a sound collection part that collects sounds, a display part that displays image data captured by the imaging part, a directive direction calculation part that calculates a directive direction which directs toward a sound position corresponding to a designated position of the image data from the sound collection part when any position of the displayed image data is designated, and a control part that forms a directivity in the sounds in the calculated directive direction. The control part controls output of the sounds collected by the sound collection part or output of the sounds which are collected by the sound collection part and of which the directivity is formed, or suspends collection of sounds in the sound collection part, when it is determined that the sound position is included in a preset protection region.

A video processing device includes: an object detector configured to detect an object included in a video so that a type of the object can be identified; an event detector configured to detect a focusing event which occurs to the detected object; a masking target setter configured to simultaneously set all objects of a selected type as masking targets, and to exclude from the masking targets, one or more objects to which occurrence of the selected focusing event has been detected by the event detector; and a masking process controller configured to generate a masking-processed video in which each video area which corresponds to the object set as the masking target by the masking target setter, has been changed to a masking image.

Provided is a safety scanner that enables simplification of an operation of checking an operating state. The safety scanner includes a scan image generation section that generates a scan image that includes a plurality of sets of distance measurement information obtained by performing scanning with a detection light emitted by an emitter, the plurality of sets of distance measurement information being represented as a plurality of distance measurement positions on a scanning plane of the detection light, and a monitoring image display that displays the scan image on a screen.

An intrusion detection system detects when an unexpected person enters the environment of a user who is in a meeting. A privacy protection action which is an action that is to be taken in response to the detected intrusion, is identified. Audio and/or video systems are then controlled to perform the privacy protection action. Machine learning can be used, based upon user interactions, to improve intrusion detection and other parts of the system.

A method and system for detecting a person falling, confirming a potential fall, and taking action to mitigate the effects of a fall.

An electronic device including a mounting device configured to couple to a surface, a head removably coupled to the mounting device and including a housing, a magnet attached to the mounting device, and a sensor disposed within the housing. The sensor detects a magnetic field associated with the magnet when the head is in a first position relative to the mounting device and detects the magnetic field associated with the magnet when the head is in a second position relative to the mounting device, the second position being different than the first position.

In some embodiments, an apparatus includes a memory and a processor. The processor is configured to receive a set of images associated with a video recorded by a moving or a non-moving camera. The processor is configured to detect a structure of a region of interest from a set of regions of interest in an image from the set of images. The processor is configured to classify the structure into a geometric class from a set of predefined geometric classes using machine learning techniques. The processor is configured to alter the region of interest to generate an altered image when the geometric class is associated with an identity of a person, such that privacy associated with the identity of the person is protected. The processor is configured to send the altered image to a user interface or store the altered image in a standardized format.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for preserving privacy in surveillance. The methods, systems, and apparatus include actions of determining a state of a monitoring system, determining an exclusion zone that is shown in a video, determining whether to obfuscate at least a portion of the video based on the exclusion zone and the state of the monitoring system, and obfuscating at least the portion of the video.