Abstract: Disclosed herein are methods and systems for anomaly detection within a field using images or sensor data. An anomaly detection process determines whether a pixel or a cluster of pixels fit within calculated or modeled expectations to identify an anomaly. The process can further analyze the anomaly to determine a likely cause. Example anomaly detection techniques account for intra-field inhomogeneity and for non-crop regions. Example anomaly detection techniques also can identify anomalous regions.

Abstract: A vent, preferably made of metal, comprises a body (10) having an aperture (24) for the passage of a fluid and a sealing surface (11) surrounding the aperture. A porous membrane (50) lies against the sealing surface (11) and covers the aperture (24). A clamp arrangement may comprise a spring (30) pressing the membrane against the sealing surface (11) to prevent liquid from passing through between the sealing surface (11) and the membrane (50), e.g. by means of a cap (40) secured to the body (10) of the vent. The clamp arrangement is such that upon a reduction of the membrane thickness by 50% in the clamping area the compressive force per unit area does not change by more than 50%.

Abstract: A vent, preferably made of metal, comprises a body (10) having an aperture (24) for the passage of a fluid and a sealing surface (11) surrounding the aperture. A porous membrane (50) lies against the sealing surface (11) and covers the aperture (24). A clamp arrangement may comprise a spring (30) pressing the membrane against the sealing surface (11) to prevent liquid from passing through between the sealing surface (11) and the membrane (50), e.g. by means of a cap (40) secured to the body (10) of the vent. The clamp arrangement is such that upon a reduction of the membrane thickness by 50% in the clamping area the compressive force per unit area does not change by more than 50%.

Abstract: Disclosed herein are methods and systems for anomaly detection within a field using images or sensor data. An anomaly detection process determines whether a pixel or a cluster of pixels fit within calculated or modeled expectations to identify an anomaly. The process can further analyze the anomaly to determine a likely cause. Example anomaly detection techniques account for intra-field inhomogeneity and for non-crop regions. Example anomaly detection techniques also can identify anomalous regions.

Abstract: Disclosed herein are methods and systems for anomaly detection within a field using images or sensor data. An anomaly detection process determines whether a pixel or a cluster of pixels fit within calculated or modeled expectations to identify an anomaly. The process can further analyze the anomaly to determine a likely cause. Example anomaly detection techniques account for intra-field inhomogeneity and for non-crop regions. Example anomaly detection techniques also can identify anomalous regions.

Abstract: The invention relates to a method and an apparatus for processing information in images pictured by infrared cameras comprising the steps of receiving radiation from at least one object in an area; extracting radiometric information from the radiation; transforming the radiometric information into at least one digital image file; storing the at least one digital image file and at least one digital function file comprising an executable code characterised by the steps of merging the executable code of the at least one digital function file into or with the at least one digital image file, thereby generating an executable digital image file, wherein the executable code comprises at least one instruction and is written in a programming language independent of system architecture. The invention further relates to a computer program product.

Abstract: Disclosed herein are methods and systems for anomaly detection within a field using images or sensor data. An anomaly detection process determines whether a pixel or a cluster of pixels fit within calculated or modeled expectations to identify an anomaly. The process can further analyze the anomaly to determine a likely cause. Example anomaly detection techniques account for intra-field inhomogeneity and for non-crop regions. Example anomaly detection techniques also can identify anomalous regions.

Abstract: Methods and computer systems are disclosed for generating an augmented image. For example, a method may include displaying a captured image on a display, wherein the image comprises image data values representing radiation emitted from an observed real world scene, receiving a user indication indicating a local area of interest as a user input signal via an input device, determining a first set of selected pixels in an displayed image representing an local area of interest based on said user input signal, determining a second set of selected pixels representing remaining pixels in said image excluded from said first set of selected pixels, and generating an augmented image by performing a first image processing operation on said first set of selected pixels and/or by performing a second image processing operation on said second set of selected pixels. Other example embodiments are also provided.

Abstract: Disclosed herein are methods and systems for anomaly detection within a field using images or sensor data. An anomaly detection process determines whether a pixel or a cluster of pixels fit within calculated or modeled expectations to identify an anomaly. The process can further analyze the anomaly to determine a likely cause. Example anomaly detection techniques account for intra-field inhomogeneity and for non-crop regions. Example anomaly detection techniques also can identify anomalous regions.

Abstract: There is provided for an embodiment a method for enabling improved analysis and interpretation of associated image data in an infrared (IR) image and a visible light (VL) image depicting a real world scene, captured using a thermography arrangement comprising an IR imaging system and a VL imaging system, the method comprising: capturing an IR image depicting the scene, having a first field of view (FOV); capturing a VL image depicting the scene, having a second FOV; processing at least one of the VL image and the IR image such that the FOV represented in the VL image substantially corresponds to the FOV represented in the IR image; associating the resulting IR and VL images to provide associated images; and enabling a user to access the associated images for display, wherein analysis and interpretation of the associated images, having image pair content, is intuitive as the resulting VL image and the resulting IR image after associating represent the same FOV.

Abstract: The invention relates to a method and an apparatus for processing information in images pictured by infrared cameras comprising the steps of receiving radiation from at least one object in an area; extracting radiometric information from the radiation; transforming the radiometric information into at least one digital image file; storing the at least one digital image file and at least one digital function file comprising an executable code characterised by the steps of merging the executable code of the at least one digital function file into or with the at least one digital image file, thereby generating an executable digital image file, wherein the executable code comprises at least one instruction and is written in a programming language independent of system architecture. The invention further relates to a computer program product.

Abstract: The invention relates to a method and an apparatus for processing information in images pictured by infrared cameras comprising the steps of receiving radiation from at least one object in an area; extracting radiometric information from the radiation; transforming the radiometric information into at least one digital image file; storing the at least one digital image file and at least one digital function file comprising an executable code characterised by the steps of merging the executable code of the at least one digital function file into or with the at least one digital image file, thereby generating an executable digital image file, wherein the executable code comprises at least one instruction and is written in a programming language independent of system architecture. The invention further relates to a computer program product.

Abstract: Methods and computer systems are disclosed for generating an augmented image. For example, a method may include displaying a captured image on a display, wherein the image comprises image data values representing radiation emitted from an observed real world scene, receiving a user indication indicating a local area of interest as a user input signal via an input device, determining a first set of selected pixels in an displayed image representing an local area of interest based on said user input signal, determining a second set of selected pixels representing remaining pixels in said image excluded from said first set of selected pixels, and generating an augmented image by performing a first image processing operation on said first set of selected pixels and/or by performing a second image processing operation on said second set of selected pixels. Other example embodiments are also provided.

Abstract: There is provided for an embodiment a method for enabling improved analysis and interpretation of associated image data in an infrared (IR) image and a visible light (VL) image depicting a real world scene, captured using a thermography arrangement comprising an IR imaging system and a VL imaging system, the method comprising: capturing an IR image depicting the scene, having a first field of view (FOV); capturing a VL image depicting the scene, having a second FOV; processing at least one of the VL image and the IR image such that the FOV represented in the VL image substantially corresponds to the FOV represented in the IR image; associating the resulting IR and VL images to provide associated images; and enabling a user to access the associated images for display, wherein analysis and interpretation of the associated images, having image pair content, is intuitive as the resulting VL image and the resulting IR image after associating represent the same FOV.

Abstract: An IR camera includes a first optical subsystem for generating an IR image of an object and a second optical subsystem for generating a visual light image of the object. The IR camera further includes a focusing device for focusing the first optical subsystem. The IR camera also has a processor for determining a focus distance for focusing the first optical subsystem on the object. The processor determines the focus distance based on a displacement of a feature in the visual light image.

Abstract: The invention relates to a method and an apparatus for processing information in images pictured by infrared cameras comprising the steps of receiving radiation from at least one object in an area; extracting radiometric information from the radiation; transforming the radiometric information into at least one digital image file; storing the at least one digital image file and at least one digital function file comprising an executable code characterised by the steps of merging the executable code of the at least one digital function file into or with the at least one digital image file, thereby generating an executable digital image file, wherein the executable code comprises at least one instruction and is written in a programming language independent of system architecture. The invention further relates to a computer program product.

Abstract: The invention relates to a method and an apparatus for processing information in images pictured by infrared cameras comprising the steps of receiving radiation from at least one object in an area; extracting radiometric information from the radiation; transforming the radiometric information into at least one digital image file; storing the at least one digital image file and at least one digital function file comprising an executable code characterized by the steps of merging the executable code of the at least one digital function file into or with the at least one digital image file, thereby generating an executable digital image file, wherein the executable code comprises at least one instruction and is written in a programming language independent of system architecture. The invention further relates to a computer program product.

Abstract: An IR camera includes a first optical subsystem for generating an IR image of an object and a second optical subsystem for generating a visual light image of the object. The IR camera further includes a focusing device for focusing the first optical subsystem. The IR camera also has a processor for determining a focus distance for focusing the first optical subsystem on the object. The processor determines the focus distance based on a displacement of a feature in the visual light image.

Abstract: The invention relates to a method and an apparatus for processing information in images pictured by infrared cameras comprising the steps of receiving radiation from at least one object in an area; extracting radiometric information from the radiation; transforming the radiometric information into at least one digital image file; storing the at least one digital image file and at least one digital function file comprising an executable code characterised by the steps of merging the executable code of the at least one digital function file into or with the at least one digital image file, thereby generating an executable digital image file, wherein the executable code comprises at least one instruction and is written in a programming language independent of system architecture. The invention further relates to a computer program product. By this inventive concept is achieved a cross-platform compatibility of the executable digital images files that makes them independent of computer system architecture.