Abstract: The field of the invention relates to computer vision systems and methods providing real time data analytics on detected people or objects in the home environment or other environments. It is based on an embedded engine that analyses an image from a raw sensor and virtualised the image into a digital representation enabling a digital understanding of the environment while guarantying privacy. It comprises multiple image processing blocks and embedded firmware.

Abstract: The field of the invention relates to computer vision systems and methods providing real time data analytics on detected people or objects in the home environment or other environments. It is based on an embedded engine that analyses an image from a raw sensor and virtualised the image into a digital representation enabling a digital understanding of the environment while guarantying privacy. It comprises multiple image processing blocks and embedded firmware.

Abstract: An image processing method is provided. The method includes acquiring a video. The method includes using an object detection engine to detect a person in the video. The object detection engine is integrated with an image signal processing pipeline. The method includes transmitting the video over a network. The method includes determining that the detected person has moved less than a pre-set distance. The method includes, responsive to the determining, pausing transmission of the video. An embedded image processor including an object detection engine is also provided.

Abstract: A computer-vision system or engine that (a) generates from a pixel stream a digital representation of a person and (b) determines attributes or characteristics of the person from that digital representation and (c) based on those attributes or characteristics, outputs data to a cloud-based analytics system that enables that analytics system to identify and also to authenticate the person. The attributes or characteristics of the person include their pose, and the system or engine analyses that pose to extract a facial image from a video stream that is the best facial image for use by the cloud-based analytics system to identify and authenticate the person. The computer-vision system or engine outputs the facial image to the cloud-based analytics system, but does not output the full-frame real-time video to the cloud-based analytics system.

Abstract: The field of the invention relates to computer vision systems and methods providing real time data analytics on detected people or objects in the home environment or other environments. It is based on an embedded engine that analyses an image from a raw sensor and virtualised the image into a digital representation enabling a digital understanding of the environment while guarantying privacy. It comprises multiple image processing blocks and embedded firmware.

Abstract: The field of the invention relates to computer vision systems and methods providing real time data analytics on detected people or objects in the home environment or other environments. It is based on an embedded engine that analyses an image from a raw sensor and virtualised the image into a digital representation enabling a digital understanding of the environment while guarantying privacy. It comprises multiple image processing blocks and embedded firmware.

Abstract: A method of forming a control parameter dependent on ambient light. The method comprises the steps of acquiring light values from an ambient light sensor and acquiring positional status values from a positional status sensor. The control parameter depends on the light values and is filtered in dependence on the positional status values.

Abstract: In a method of enhancing the appearance of a digital image on an electronic display, Ambient Light Sensor (ALS) and Screen Brightness (SB) inputs are combined with a calibration input 12 to generate a first strength parameter 22, including an alpha component that is dependent only upon the properties of the display. Then a further, content-based input 24 is also combined to generate a second strength parameter 26, including a beta component that is dependent only upon a content type, or a content quality, or both.

Abstract: There is provided a method for estimating a distance of an object detected by an image sensor. Multiple detections are performed automatically to detect features of an object and to estimate the object proportions, which are then used to relate to additional measurements such as the distance of the object from the image sensor. The method detects human and non-human objects. The method uses available anthropometry tables. The method takes into account the image sensor optical aberrations such as lens distortion. A related system and a related computer program product are also provided.

Abstract: An image processing method is provided. The method includes acquiring a video. The method includes using an object detection engine to detect a person in the video. The object detection engine is integrated with an image signal processing pipeline. The method includes transmitting the video over a network. The method includes determining that the detected person has moved less than a pre-set distance. The method includes, responsive to the determining, pausing transmission of the video. An embedded image processor including an object detection engine is also provided.

Abstract: A method to frame a video stream is provided. A video stream is captured, then motion of the camera, object presence in the video stream, and position of the object are detected. A framed video stream is generated using a framing in dependence on the motion of the camera and the position of the object. A system for framing a video stream is also provided, wherein the system comprises a camera and a processing unit, and the processing unit comprises at least one processor and at least on memory including computer program instructions to execute a method to frame a video stream.

Abstract: The field of the invention relates to computer vision systems and methods providing real time data analytics on detected people or objects in the home environment or other environments. It is based on an embedded engine that analyses an image from a raw sensor and virtualised the image into a digital representation enabling a digital understanding of the environment while guarantying privacy. It comprises multiple image processing blocks and embedded firmware.

Abstract: A method of controlling in a display device screen brightness and strength of dynamic range compression of display data in dependence on ambient light level. Ambient light level values are required from one or more ambient light sensors. The ambient light level values are averaged using a first method to obtain a first average value and using a second, different method to obtain a second average value. The first average value is used for controlling the screen brightness and the second average value is used for controlling the strength of the dynamic range compression.

Abstract: A method to frame a video stream is provided. A video stream is captured, then motion of the camera, object presence in the video stream, and position of the object are detected. A framed video stream is generated using a framing in dependence on the motion of the camera and the position of the object. A system for framing a video stream is also provided, wherein the system comprises a camera and a processing unit, and the processing unit comprises at least one processor and at least on memory including computer program instructions to execute a method to frame a video stream.

Abstract: A method for analyzing a video stream is provided. The method determines a set of two or more frames containing an object, and generates an object record describing time evolution of at least one characteristic of the object. An apparatus comprising a processor and a memory to perform this method is also provided.

Abstract: In a method of enhancing the appearance of a digital image on an electronic display, Ambient Light Sensor (ALS) and Screen Brightness (SB) inputs are combined with a calibration input 12 to generate a first strength parameter 22, including an alpha component that is dependent only upon the properties of the display. Then a further, content-based input 24 is also combined to generate a second strength parameter 26, including a beta component that is dependent only upon a content type, or a content quality, or both.

Abstract: A method of forming a control parameter dependent on ambient light. The method comprises the steps of acquiring light values from an ambient light sensor and acquiring positional status values from a positional status sensor. The control parameter depends on the light values and is filtered in dependence on the positional status values.

Abstract: A method of controlling in a display device screen brightness and strength of dynamic range compression of display data in dependence on ambient light level. Ambient light level values are required from one or more ambient light sensors. The ambient light level values are averaged using a first method to obtain a first average value and using a second, different method to obtain a second average value. The first average value is used for controlling the screen brightness and the second average value is used for controlling the strength of the dynamic range compression.