Patent classifications
G01J5/026
THERMOPILE TEST STRUCTURE AND METHODS EMPLOYING SAME
A semiconductor product comprising: a semiconductor substrate and a test structure, the test structure comprising: a thermopile and at least one temperature sensitive element, the at least one temperature sensitive element being located in the substrate, or between the substrate and the thermopile.
ELECTRONIC DEVICE EMPLOYING THERMAL SENSOR AND IMAGE SENSOR
There is provided a recognition system adaptable to a portable device or a wearable device. The recognition system senses a body heat using a thermal sensor, and performs functions such as the living body recognition, image denoising and body temperature prompting according to detected results.
CAMERA VIEW PORT DEDICATED SELF CLEANING CYCLES
A dedicated self-cleaning cycle for a camera for imaging a cavity of an oven is provided. An indication is received to perform a localized pyrolytic cycle to clean a view port glass protecting an image sensor of the camera from heat or detritus in the cavity of the oven. Responsive to the indication, a camera viewport heating element configured to provide localized heating to the view port glass is operated to perform the localized pyrolytic cycle. The camera is utilized to view the cavity of the oven.
ACTIVE COMPRESSIVE SENSING VIA A THERMAL SENSOR FOR HUMAN SCENARIO RECOGNITION
Disclosed and described herein is a system and a method for thermal detection of static and moving objects.
AIR CONDITIONER
To provide an air conditioner 1 that includes an outdoor device and an indoor device and performs air conditioning inside a room. The indoor device includes a control unit, a storage unit, and an infrared sensor unit that detects a human by detecting infrared rays. The infrared sensor unit includes thermal-image acquisition elements that detect infrared rays to acquire thermal image data, and a sensor control unit that controls the thermal-image acquisition elements. At a time of reception of the thermal image data transmitted from the infrared sensor unit, the control unit determines whether an error has been occurred in communication for each of the thermal-image acquisition elements. The control unit sets a thermal-image acquisition element whose sum of number of times of determination that an error has occurred in the communication is equal to or larger than a certain number, as a communication-error established element. The control unit performs setting of not acquiring the thermal image data from the thermal-image acquisition element set as the communication-error established element.
CONTROL DEVICE, DETECTION DEVICE, AND CONTROL METHOD
There is provided a control device including: a determination unit configured to determine a mounted state of a detection device on the basis of a plurality of detection values, the detection unit including a light source and a plurality of light receiving elements and detecting a pulse wave, the plurality of detection values corresponding to signals output in response to light beams received from the plurality of light receiving elements, respectively, distances between the light source and the respective plurality of light receiving elements being different from each other; and an operation control unit configured to control an operation related to detection of the pulse wave performed by the detection device on the basis of a determination result of the mounted state.
Method and system for a trail camera with modular Fresnel lenses
A cellular trail camera system is disclosed and may include a housing; a mounting bracket for mounting the camera; a visible sensor; an infrared sensor; and a plurality of Fresnel lenses each operable to be individually mounted to or with the infrared sensor and to focus infrared light to the infrared sensor from a different direction. One of the Fresnel lenses may be mounted to or with the housing during operation. The housing may include a wireless transceiver, which may communicate via a cellular network. The camera may communicate with a wireless communication device via the wireless transceiver. The camera may communicate images and/or video to the wireless device. The infrared sensor may include a plurality of elements. The camera may be powered by a solar cell that is mounted on the camera or remote from the camera. The visible sensor may be activated when the infrared sensor detects a heat-generating object.
SYSTEMS AND METHODS FOR TEMPERATURE MEASUREMENT
A method for temperature measurement may be provided. The method may include obtaining an image of an object acquired by an imaging device. The method may also include determining an angle between the object and the imaging device based on the image. The angle may be defined by a reference direction and a direction that the object is facing. The method may further include determining a temperature of the object in response to determining that the angle satisfies a condition based on the image.
Infrared temperature measurement fused with facial identification in an access control system
An example method of infrared access, comprising, receiving a plurality of visual images, receiving a plurality of infrared images, calibrating the plurality of visual images to the plurality of infrared images, determining an average temperature of the plurality of infrared images, determining an outlier temperature of an outlier infrared image of the plurality of infrared images and matching the outlier infrared image to a visual image.
Infrared Thermal Monitoring System for Industrial Application
A thermal monitoring system includes thermal monitoring devices that generate sensor data including thermal images depicting monitored elements (e.g. of an electrical switchgear system). The sensor data for all monitoring devices installed at a local deployment is collected by a gateway device, and relevant data from multiple local deployments is further aggregated by a cloud management system for further analysis. New event triggering rules determining how the thermal monitoring devices filter or record the sensor data are generated based on the aggregated data during a continuous learning process. The system detects patterns in the sensor data for the monitoring devices and/or local deployments as a whole and tracks deviations from these patterns, improving the accuracy of the event detection over time.