A facial recognition system, comprising: an automatically adjustable camera rig comprising a plurality of movable cameras, wherein the plurality of movable cameras are moved by a camera control platform according to take enrollment images; a first input for receiving images from the automatically adjustable camera rig; a second input for receiving a plurality of images from an comparative input; a first computing memory for storing a machine learning model that includes a three dimensional and a two dimensional comparison between the received first input and the received second input, wherein the comparison uses key facial points to compute a distance between the first input and the second input; and a match output in a case of a distance within a predetermined threshold.

An image forming apparatus includes an interface and a control circuit. The interface is configured to connect a contactless card reader. The control circuit is configured to acquire identification information read from an information recording medium by the contactless card reader and to decrease a field intensity level of the contactless card reader in response to a success of authentication of the identification information.

A thermal image processing device includes: an acquirer that acquires a thermal image from a thermal image sensor; a first processor that performs, on a high temperature pixel indicating a temperature higher than a first temperature among a plurality of pixels included in the thermal image acquired, image processing for decreasing the temperature indicated by the high temperature pixel; and a second processor that performs high frequency enhancement processing for enhancing a high frequency component included in a converted image serving as the thermal image on which the image processing has been performed.

A system for a thermal monitoring security camera is disclosed, including at least one camera positioned to monitor a facility. An image processing module receives imagery from the at least one camera and analyzes the imagery to determine, via a facial recognition module, an identity of an individual within the imagery and the presence or absence of a mask on the face of the individual. At least one thermal camera monitors the temperatures of each individual sensed by the thermal camera. An alert module transmits an alert if the temperature is above a threshold temperature. A security system provides access or prevent access to the facility.

An indoor camera includes: an image capturing unit; a storage unit configured to store at least one detection area in association with stagnation times, the detection area that is a target area for detecting stagnation of a pet, and the stagnation times indicating the number of times when the pet enters the detection area and stagnates in the detection area; and a processor configured to detect a position of the pet and count the stagnation times of the pet in the detection area based on captured images. If determining, based on the captured images, that the pet stagnates in the detection area for a predetermined time period or longer, the processor increments and counts the stagnation times of the pet in the detection area and generates an action log including identification information of the detection area and information on the stagnation times.

A security device, such as a passive infra-red motion detector (1) is provided with a plurality of fasteners (15, 25). One fastener (25) removably fastens a lens (4) to a housing of the passive infra-red detector, such that the lens (4) can be removed from the outside of the housing, whilst the other fastener (15) fastens a front section (2) of the housing to the rear section (3). Both fasteners (15, 25) are transparent/translucent and act as light guides.

An infrared detector capable of surface-mounting and excellent in electromagnetic wave resistance performance includes: a metal can-type infrared detector configured by disposing a pyroelectric photoelectric conversion element inside a metal package including a plurality of leads; and an insulating spacer made of an electric insulating material and equipped with a one or more through-holes through which the plurality of leads can penetrate. The plurality of leads of the metal can-type infrared detector are inserted into the through-hole from an upper surface side of the insulating spacer and a tip side of the lead is bent toward an outer periphery of the insulating spacer on a lower surface of the insulating spacer, whereby the metal can-type infrared detector is mechanically fixed to the insulating spacer.

An infrared processing system includes a first thermal image generating unit, an object extracting unit, a second thermal image generating unit, and an object temperature calculating unit. The first thermal image generating unit generates, using a first temperature correction value, a first thermal image based on the output signal of the image sensor. The object extracting unit extracts the object from the first thermal image. The second thermal image generating unit generates, using a second temperature correction value corresponding to the object that has been extracted by the object extracting unit, a second thermal image based on the output signal of the image sensor. The object temperature calculating unit calculates, based on the second thermal image that has been generated by the second thermal image generating unit, a temperature of the object that has been extracted by the object extracting unit.

A method of digitally processing a plurality of pixels of an image captured using an array of sensing pixels of an optical sensor device. The method comprises identifying a measurement pixel of the plurality of pixels corresponding to a measurement point on a target to be measured. The method then comprises identifying a number of pixels of the plurality of pixels neighbouring the measurement pixel, the number of pixels having a number of intensity values, respectively. A curve is then fitted to the number of pixels and the number of respective intensity values. An estimated intensity value is then determined from the curve in respect of the measurement pixel, thereby simulating a predetermined field of view in respect of the measurement pixel narrower than an actual field of view of the measurement pixel.

A camera takes an image of a user. A room environment information sensor detects room environment information about an environment in a room where the user is present. An estimation unit estimates a concentration degree of the user based on the image of the user taken by the camera and the room environment information sensed by the room environment information sensor.