Various embodiments disclosed herein describe a divided-aperture infrared spectral imaging (DAISI) system that is adapted to acquire multiple IR images of a scene with a single-shot (also referred to as a snapshot). The plurality of acquired images having different wavelength compositions that are obtained generally simultaneously. The system includes at least two optical channels that are spatially and spectrally different from one another. Each of the at least two optical channels are configured to transfer IR radiation incident on the optical system towards an optical FPA unit comprising at least two detector arrays disposed in the focal plane of two corresponding focusing lenses. The system further comprises at least one temperature reference source or surface that is used to dynamically calibrate the two detector arrays and compensate for a temperature difference between the two detector arrays.

Various techniques are provided for an infrared sensor assembly having a hybrid infrared sensor array. In one example, such a hybrid infrared sensor array may include a plurality of microbolometers and a non-bolometric infrared sensor. The non-bolometric infrared sensor may be a thermopile or other type of infrared sensor different from a bolometer-based sensor. The non-bolometric infrared sensor may be utilized to provide a more accurate and stable temperature reading of an object or area of a scene captured by the array. In some embodiments, the non-bolometric infrared sensor may also be utilized to perform a shutter-less radiometric calibration of the microbolometers of the array. An infrared sensor assembly may include, for example, the hybrid infrared sensor array, as well as a substrate including bond pads and/or appropriate circuits to obtain and/or transmit output signals from the non-bolometric infrared sensor.

Various techniques are provided for implementing an infrared imaging system. In one example, a system includes a focal plane array (FPA). The FPA includes an array of infrared sensors adapted to image a scene. The FPA also includes a bias circuit adapted to provide a bias voltage to the infrared sensors. The bias voltage is selected from a range of approximately 0.2 volts to approximately 0.7 volts. The FPA also includes a read out integrated circuit (ROIC) adapted to provide signals from the infrared sensors corresponding to captured image frames. Other implementations are also provided.

Various techniques are disclosed for smart surveillance camera systems and methods using thermal imaging to intelligently control illumination and monitoring of a surveillance scene. For example, a smart camera system may include a thermal imager, an IR illuminator, a visible light illuminator, a visible/near IR (NIR) light camera, and a processor. The camera system may capture thermal images of the scene using the thermal imager, and analyze the thermal images to detect a presence and an attribute of an object in the scene. In response to the detection, various light sources may be selectively operated to illuminate the object only when needed or desired, with a suitable type of light source, with a suitable beam angle and width, or in otherwise desirable manner. The visible/NIR light camera may also be selectively operated based on the detection to capture or record surveillance images containing objects of interest.

The present disclosure provides devices, systems, and methods for capturing and analyzing behavioral and physiological data of subjects for treatment, modification, and manipulation discovery. In some embodiments, a method for classifying a drug is provided. The method includes obtaining observational data concerning an animal subject to which the drug is administered, the observational data acquired using an enclosure for the animal subject, the enclosure instrumented with at least one sensing device. The method also includes extracting features by applying the observational data to a machine-learning feature-extraction component. The method further includes predicting a class label of the drug by applying the features to a machine-learning classifier component, the machine-learning classifier component trained to predict the class label of the drug from, at least in part, the features. The method further includes providing an indication of the class label.

A security camera system for safeguarding a designated area includes at least one camera for encoding and transmitting streaming video of the designated area, and a video receiver for receiving, decoding and analyzing the streaming video for relevant motion, such as movement indicative of the presence of a person. Upon detecting a motion event, the video receiver triggers an alert condition, which results in storing each video steam into memory. Each camera is provided with a PIR detector circuit for measuring infrared radiation within the designated area, the video steam and IR data being transmitted to the receiver via analog communication means to reduce implementation costs. To minimize the risk of false trigger events, the receiver monitors both pixel changes in the streaming video signals as well as measured IR radiation levels within the designated area that fall within the traditional thermal energy range of human body heat.

Techniques using small form factor infrared imaging modules are disclosed. An imaging system may include visible spectrum imaging modules, infrared imaging modules, and other modules to interface with a user and/or a monitoring system. Visible spectrum imaging modules and infrared imaging modules may be positioned in proximity to a scene that will be monitored while visible spectrum-only images of the scene are either not available or less desirable than infrared images of the scene. Imaging modules may be configured to capture images of the scene at different times. Image analytics and processing may be used to generate combined images with infrared imaging features and increased detail and contrast. Triple fusion processing, including selectable aspects of non-uniformity correction processing, true color processing, and high contrast processing, may be performed on the captured images. Control signals based on the combined images may be presented to a user and/or a monitoring system.

Various embodiments disclosed herein describe a divided-aperture infrared spectral imaging (DAISI) system that is adapted to acquire multiple IR images of a scene with a single-shot (also referred to as a snapshot). The plurality of acquired images having different wavelength compositions that are obtained generally simultaneously. The system includes at least two optical channels that are spatially and spectrally different from one another. Each of the at least two optical channels are configured to transfer IR radiation incident on the optical system towards an optical FPA unit comprising at least two detector arrays disposed in the focal plane of two corresponding focusing lenses. The system further comprises at least one temperature reference source or surface that is used to dynamically calibrate the two detector arrays and compensate for a temperature difference between the two detector arrays.

The purpose of the present invention is to shorten the time needed for the terminal voltage of a bolometer element to converge to bias voltage, shorten the reset interval of an integration circuit, and improve the temperature resolution. This semiconductor device is provided with a means for presenting a bias voltage to a bolometer element. A bias circuit that inputs to an integration circuit the differential current of the current flowing to the bolometer element when the bias voltage is presented to the bolometer element, and the current from a bias cancel circuit that eliminates offset current of the bolometer element, pre-charges the bolometer element at a prescribed pre-charge voltage.

A computer-implemented method for displaying thermal images by a thermal imager device is provided. The method includes displaying, by a user interface of a computing device, a plurality of thermal images corresponding to a respective plurality of objects in a scene captured by the thermal imager device. The plurality of thermal images are displayed by a first representation scheme based on a first thermal scale comprising a first range of temperature values corresponding to the plurality of objects. The method includes receiving, by the computing device, a user selection of a subplurality of the plurality of thermal images. And the method includes, responsive to the user selection, displaying, by the user interface, the subplurality of the plurality of thermal images by a second representation scheme based on a second thermal scale comprising a second range of temperature values corresponding to a respective subplurality of the plurality of objects.