Flir Systems, Incorporated

Teledyne Flir Commercial Systems, Inc.

Flir Commercial Systems, Inc.

Teledyne Flir, LLC

Flir Systems Ab

Nicholas Högasten

Theodore R Hoelter

Katrin Strandemar

Pierre M Boulanger

Eric A Kurth

Barbara Sharp

Mark Nussmeier

Jeffrey D Frank

Austin A Richards

Andrew C Teich

Patrick B Richardson

James T Woolaway

Brian B Simolon

Malin Ingerhed

Joseph Kostrzewa

Jeffrey S Scott

Michael J Fox

William A Terre

Dwight T Dumpert

Shawn Jepson

Giovanni Lepore

Thomas J Scanlon

Nile E Fairfield

Per Elmfors

Arthur Stout

Scott McNally

Michael Kent

Naseem Y Aziz

Robert F Cannata

Vu L Nguyen

Jonathan Li

Stephanie Lin

Christopher Chan

Jim Goodland

Julie R Moreira

Dylan M Rodriguez

Victoria L White

Raymond Valdes

Weilming Sieh

David W Dart

David W Lee

Jeremy P Walker

Michael D Fox

Tomas Lannestedt

Gerald W Blakeley, Iii

Magnus Boman

Gary B Hughes

John C Day

Louis Tremblay

Sam Grigorian

Nuwan Nagahawatte

Hugo Hedberg

James Klingshirn

Stanley H Garrow

Earl R Lewis

Justin Muncaster

Eugene Pochapsky

Karl Rydqvist

Fredrik Gihl

Rasmus Loman

Robert Proebstel

Tien Nguyen

Katrin Strademar

Gerald W Blakeley

Steve Barskey

Gregory Grant

Richard Cagley

Andrew Phillip Brown

Fredrik Andersson

Yves Chappaz

Peter Uddenfelt

Mary L Deal

Selah Argent

Scott Mcnally

Systems and methods include an image capture component configured to capture infrared images of a scene, and a logic device configured to identify a target in the images, acquire temperature data associated with the target based on the images, evaluate the temperature data and determine a corresponding temperature classification, and process the identified target in accordance with the temperature classification. The logic device identifies a person and tracks the person across a subset of the images, identify a measurement location for the target in a subset of the images based on target feature points identified by a neural network, and measure a temperature of the location using corresponding values from one or more captured thermal images. The logic device is further configured calculate a core body temperature of the target using the temperature data to determine whether the target has a fever and calibrate using one or more black bodies.

Non-contact temperature measurement in thermal imaging systems and methods

Multispectral imaging and related techniques are provided to detect thermal and non-thermal anomalies at reduced false detection rates. A multispectral imaging system includes an infrared light imaging sensor that captures infrared image data in a first spectral band, of a scene and an ultraviolet light imaging sensor that captures ultraviolet image data in a second spectral band, of the scene. The system also includes a processor that combines the ultraviolet image data and the infrared image data to generate composite image data, determines a ratio of a first radiant intensity in the first spectral band to a second radiant intensity in the second spectral band, from the composite image data, and determines whether the ratio corresponds to a predetermined radiant intensity ratio of a known thermal or electrical anomaly. The processor can detect the thermal or electrical anomaly when the determined ratio corresponds to the predetermined radiant intensity ratio.

Multispectral imaging for thermal and electrical detection systems and methods

Techniques are disclosed for imager health monitoring systems and methods. In one example, a method includes determining a characteristic of an active unit cell of a focal plane array (FPA) and/or a reference unit cell of the FPA. The active unit cell includes a detector selectively shielded from an incident scene. The reference unit cell includes a reference detector shielded from the incident scene. The method further includes determining a state of the FPA based at least in part on the characteristic. The method further includes transmitting an indication of the state of the FPA to selectively cause adjustment of the FPA Related devices and systems are also provided.

Imager health monitoring systems and methods

An imager array may be provided as part of an imaging system. The imager array may include a plurality of infrared imaging modules. Each infrared imaging module may include a plurality of infrared sensors associated with an optical element. The infrared imaging modules may be oriented, for example, substantially in a plane facing the same direction and configured to detect images from the same scene. Such images may be processed in accordance with various techniques to provide images of infrared radiation. The infrared imaging modules may include filters or lens coatings to selectively detect desired ranges of infrared radiation. Such arrangements of infrared imaging modules in an imager array may be used to advantageous effect in a variety of different applications.

Imager with array of multiple infrared imaging modules

Various techniques are provided for reducing noise in captured image frames. In one example, a method includes determining row values for image frames comprising scene information and noise information. The method also includes performing first spectral transforms in a first domain on corresponding subsets of the row values to determine first spectral coefficients. The method also includes performing second spectral transforms in a second domain on corresponding subsets of the first spectral coefficients to determine second spectral coefficients. The method also includes selectively adjusting the second spectral coefficients. The method also includes determining row correction terms based on the adjusted second spectral coefficients to reduce the noise information of the image frames. Additional methods and systems are also provided.

Image noise reduction using spectral transforms

Flight based infrared imaging systems and related techniques, and in particular UAS based thermal imaging systems, are provided to improve the monitoring capabilities of such systems over conventional infrared monitoring systems. An infrared imaging system is configured to compensate for various environmental effects (e.g., position and/or strength of the sun, atmospheric effects) to provide high resolution and accuracy radiometric measurements of targets imaged by the infrared imaging system. An infrared imaging system is alternatively configured to monitor and determine environmental conditions, modify data received from infrared imaging systems and other systems, modify flight paths and other commands, and/or create a representation of the environment.

Unmanned aerial system based thermal imaging and aggregation systems and methods

Various techniques are provided for implementing a segmented focal plane array (FPA) of infrared sensors. In one example, a system includes a segmented FPA. The segmented FPA includes a top die having an array of infrared sensors (e.g., bolometers). The top die may also include a portion of a read-out integrated circuit (ROIC). The segmented FPA also includes a bottom die having at least a portion of the ROIC. The top and the bottom dies are electrically coupled via inter-die connections. Advantageously, the segmented FPA may be fabricated with a higher yield and a smaller footprint compared with conventional FPA architectures. Moreover, the segmented FPA may be fabricated using different semiconductor processes for each die.

Segmented focal plane array architecture

Techniques to set a frame rate and associated device manufacturing are disclosed. In one example, an imaging device includes a detector array configured to detect electromagnetic radiation associated with a scene and provide image data frames according to a first frame rate. The imaging device further includes a readout circuit configured to provide the image data frames according to a frame rate for the readout circuit. The imaging device further includes a fuse configured to set the frame rate for the readout circuit. Related methods and systems are also provided.

Frame rate and associated device manufacturing techniques for imaging systems and methods

Unmanned aerial system based thermal imaging systems and methods

Systems and methods are disclosed herein to detect pixels exhibiting anomalous behavior in captured image frames. In some examples, temporal anomalous behavior may be identified, such as flickering pixels exhibiting large magnitude changes in pixel values that vary rapidly from frame-to-frame. In some examples, spatial anomalous behavior may be identified, such as pixels exhibiting values that deviate from an expected linear response in comparison with other neighbor pixels.

Anomalous pixel detection

Various embodiments of the present disclosure may include an imaging system that allows for absolute radiometry of low dynamic range (LDR) radiometric images down-sampled from high dynamic range (HDR) radiometric thermal images. The imaging system may capture HDR images. The HDR images may be converted to LDR images by a transfer function. In certain embodiments, a video and/or a stream of HDR images may be captured. A sequence of frames may be defined for at least a plurality of the HDR images. Each of the HDR images of the sequence of frames may be converted to LDR images using the same transfer function.

Dynamic range compression for thermal video

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.

Smart surveillance camera systems and methods

Techniques are disclosed for facilitating burst mode calibration sensing and image mode sensing. In one example, a device includes a detector array configured to detect electromagnetic radiation and provide image data frames according to a first frame rate. The device further includes a logic circuit configured to determine whether a threshold delay has elapsed. The device further includes a frame output circuit configured to: provide, based at least on the threshold delay having elapsed, the image data frames according to the first frame rate; and provide, based at least on the threshold delay not having elapsed, the image data frames according to a second frame rate lower than the first frame rate. Related methods and systems are also provided.

Burst mode calibration sensing and image mode sensing for imaging systems and methods

Various embodiments of the present disclosure may include one or more object detection devices. The object detection devices may include at least one distance sensor such as a radar, lidar, or other distance sensor and at least one thermal sensor such as a thermal imaging device. One or more object detection devices may be mounted to vehicles to provide enhanced representations of an area around the vehicles.

Vehicle based radar upsampling

Growing community of inventors

Santa Barbara, CA, United States of America

Nicholas Högasten