Abstract: A Fast Non-Maximum Suppression (NMS) Algorithm post-processing for object detection includes getting original data output from a deep learning model inference output, the original data including a plurality of bounding boxes, pre-emptively filtering out at least one bounding box of the plurality of bounding boxes from further consideration when applying the algorithm, the at least one bounding box filtered out according to a predetermined criteria, processing data, using sigmoid functions or exponential functions, from bounding boxes of the plurality of bounding boxes not filtered out to generate processed bounding boxes, calculating final scores of the processed bounding boxes, and choosing a processed bounding boxes utilizing the final scores.

Abstract: A Fast Non-Maximum Suppression (NMS) Algorithm post-processing for object detection includes getting original data output from a deep learning model inference output, the original data including a plurality of bounding boxes, pre-emptively filtering out at least one bounding box of the plurality of bounding boxes from further consideration when applying the algorithm, the at least one bounding box filtered out according to a predetermined criteria, processing data, using sigmoid functions or exponential functions, from bounding boxes of the plurality of bounding boxes not filtered out to generate processed bounding boxes, calculating final scores of the processed bounding boxes, and choosing a processed bounding boxes utilizing the final scores.

Abstract: Method and systems for autofocus triggering focusing are disclosed herein. In one example, a system may include a lens, a memory component configured to store lens parameters of the lens and regions of focus corresponding to the lens parameters, and a processor coupled to the memory and the lens. The processor may be configured to focus the lens on a target object at a first instance of time, receive information indicative of distances from an imaging device to the target object over a period of time, obtain lens parameters of the lens, and determine a region of focus, and trigger the lens to re-focus on the target object if the distance to the target object indicates the target object is outside of the region of focus and the distance to the target object is unchanged for a designated time period.

Abstract: Method and systems for autofocus triggering focusing are disclosed herein. In one example, a system may include a lens, a memory component configured to store lens parameters of the lens and regions of focus corresponding to the lens parameters, and a processor coupled to the memory and the lens. The processor may be configured to focus the lens on a target object at a first instance of time, receive information indicative of distances from an imaging device to the target object over a period of time, obtain lens parameters of the lens, and determine a region of focus, and trigger the lens to re-focus on the target object if the distance to the target object indicates the target object is outside of the region of focus and the distance to the target object is unchanged for a designated time period.

Abstract: Method and systems for autofocus triggering focusing are disclosed herein. In one example, a system may include a lens, a memory component configured to store lens parameters of the lens and regions of focus corresponding to the lens parameters, and a processor coupled to the memory and the lens. The processor may be configured to focus the lens on a target object at a first instance of time, receive information indicative of distances from an imaging device to the target object over a period of time, obtain lens parameters of the lens, and determine a region of focus, and trigger the lens to re-focus on the target object if the distance to the target object indicates the target object is outside of the region of focus and the distance to the target object is unchanged for a designated time period.

Abstract: Method and systems for autofocus triggering focusing are disclosed herein. In one example, a system may include a lens, a memory component configured to store lens parameters of the lens and regions of focus corresponding to the lens parameters, and a processor coupled to the memory and the lens. The processor may be configured to focus the lens on a target object at a first instance of time, receive information indicative of distances from an imaging device to the target object over a period of time, obtain lens parameters of the lens, and determine a region of focus, and trigger the lens to re-focus on the target object if the distance to the target object indicates the target object is outside of the region of focus and the distance to the target object is unchanged for a designated time period.

Abstract: Exemplary embodiments are directed to dual camera autofocusing in digital cameras with error detection. An auxiliary lens and image sensor shares a housing with a main lens and image sensor which together act as a range finder to determine the distance to a scene. Scene distance is used in combination with contrast-detection autofocus to achieve maximum sharpness in the image. Errors in distance determination may be found and corrected using a comparison of data collected from the auxiliary lens and main lens.

Abstract: Systems and methods for rapid automatic focus, automatic white balance, and automatic exposure control are disclosed. To reduce the time it takes to automatically focus, balance spectra, and set exposure period, a dual camera uses an auxiliary camera and auxiliary image processing module in addition to the main camera and main image processing module. The auxiliary camera may capture lower resolution and lower frame rate imagery that is processed by an auxiliary image processing module to determine focus, white balance, and exposure periods for the main camera and main image processing module. By initiating convergence for automatic focus (AF), automatic white balance (AWB) and automatic exposure control (AEC) before receiving a command to capture imagery, and processing lower resolution and lower frame rate imagery, AF, AWB, and AEC convergence delays are reduced for both standard and high dynamic range image capture.

Abstract: Described is a method and apparatus for unattended image capture that can identify subjects or faces within an image captured with an image sensor. The methods and apparatus may then score the image based, at least in part, on scores of detected subjects or faces in the image, scores of facial expressions, a focus score, exposure score, stability score, or audio score. If the score of the image is above a threshold, a snapshot image may be stored to a data store on the imaging device. In some aspects, if the score of the image is below a threshold, one or more audible prompts may be generated indicating that subjects should change positions, smile or remain more still during the image capture process.

Abstract: Described is a method and apparatus for unattended image capture that can identify subjects or faces within an image captured with an image sensor. The methods and apparatus may then score the image based, at least in part, on scores of detected subjects or faces in the image, scores of facial expressions, a focus score, exposure score, stability score, or audio score. If the score of the image is above a threshold, a snapshot image may be stored to a data store on the imaging device. In some aspects, if the score of the image is below a threshold, one or more audible prompts may be generated indicating that subjects should change positions, smile or remain more still during the image capture process.

Abstract: Described is a method and apparatus for unattended image capture that can identify subjects or faces within an image captured with an image sensor. The methods and apparatus may then score the image based, at least in part, on scores of detected subjects or faces in the image, scores of facial expressions, a focus score, exposure score, stability score, or audio score. If the score of the image is above a threshold, a snapshot image may be stored to a data store on the imaging device. If the score of the image is below a threshold, one or more audible prompts may be generated indicating that subjects should change positions, smile or remain more still during the image capture process.

Abstract: Described herein are methods and devices that employ a dual shutter button feature associated with an image capture device to recommend a capture mode to a user based on one or more parameters analyzed by the image capture system. As described, providing a primary shutter button and a secondary shutter button enables the user to capture in both a standard capture mode by using the primary shutter button and in an alternate mode by using a secondary shutter button.

Abstract: A mobile device uses sensor data related to the type of surface in contact with the mobile device to determine an action to perform. The sensors, by way of example, may be one or more of a microphone and noise generator, a light based proximity sensor, and pressure sensors, such as dielectric elastomers, configured to detect a texture of the surface, and/or pressure waves produced by setting the mobile device down or by a noise generator and reflected by the surface. The mobile device may identify the type of surface and perform the action based on the type of surface. The mobile device may further determine its location based on the sensor data and use that location to identify the action to be performed. The location may be determined using additional data, e.g., data not related to determining the type of surface with which the mobile device is in contact.

Abstract: Described herein are methods and devices that employ a dual shutter button feature associated with an image capture device to recommend a capture mode to a user based on one or more parameters analyzed by the image capture system. As described, providing a primary shutter button and a secondary shutter button enables the user to capture in both a standard capture mode by using the primary shutter button and in an alternate mode by using a secondary shutter button.

Abstract: A mobile device uses sensor data related to the type of surface in contact with the mobile device to determine an action to perform. The sensors, by way of example, may be one or more of a microphone and noise generator, a light based proximity sensor, and pressure sensors, such as dielectric elastomers, configured to detect a texture of the surface, and/or pressure waves produced by setting the mobile device down or by a noise generator and reflected by the surface. The mobile device may identify the type of surface and perform the action based on the type of surface. The mobile device may further determine its location based on the sensor data and use that location to identify the action to be performed. The location may be determined using additional data, e.g., data not related to determining the type of surface with which the mobile device is in contact.

Abstract: Described is a method and apparatus for unattended image capture that can identify subjects or faces within an image captured with an image sensor. The methods and apparatus may then score the image based, at least in part, on scores of detected subjects or faces in the image, scores of facial expressions, a focus score, exposure score, stability score, or audio score. If the score of the image is above a threshold, a snapshot image may be stored to a data store on the imaging device. If the score of the image is below a threshold, one or more audible prompts may be generated indicating that subjects should change positions, smile or remain more still during the image capture process.

Abstract: Methods, apparatus, and computer readable media enhance details in a preview image for an imaging device. In one method, an image of a scene is captured with an image sensor, one or more objects of interest may be detected in the scene, a window layout for a preview window can be displayed, a composite image is generated, the composite image is displayed on a preview display. The composite image may include the captured scene along with an enhanced detail window containing the object of interest. The object of interest may be a face. The apparatus may include a touch screen display, with the position or size of the enhanced detail window changeable via gesture inputs detected on the touchscreen display. Which object of interest is displayed in the detail window may be changed from one object of interest to another through gesture inputs.

Abstract: A body fluid absorption object wetting alarm method and an apparatus associated are revealed. A light wavelength sensor is disposed on a body fluid absorption unit for detecting wavelength of the body fluid absorption unit. After the body fluid absorption unit becoming wet, the wavelength thereof changes. Then warning signals are sent to the receiving and checking unit. Thus, a caregiver at a management end of the receiving and checking unit knows that the body fluid absorption object worn by a care recipient was already wet and there is a need to replace the wet body fluid absorption unit with a new one immediately.