Abstract:
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.
Abstract:
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.
Abstract:
Techniques are provided to implement line based processing of thermal images and a flexible memory system. In one example, individual lines of a thermal image frame may be provided to an image processing pipeline. Image processing operations may be performed on the individual lines in stages of the image processing pipeline. A memory system may be used to buffer the individual lines in the pipeline stages. In another example, a memory system may be used to send and receive data between various components without relying on a single shared bus. Data transfers may be performed between different components and different memories of the memory system using a switch fabric to route data over different buses. In another example, a memory system may support data transfers using different clocks of various components, without requiring the components and the memory system to all be synchronized to the same clock source.
Abstract:
Various techniques are provided to detect abnormal clock rates in devices such as imaging sensor devices (e.g., infrared and/or visible light imaging devices). In one example, a device may include a clock rate detection circuit that may be readily integrated as part of the device to provide effective detection of an abnormal clock rate. The device may include a ramp generator, a counter, and/or other components which may already be implemented as part of the device. The ramp generator may generate a ramp signal independent of a clock signal provided to the device, while the counter may increment or decrement a count value in response to the clock signal. The device may include a comparator adapted to select a current count value of the counter when the ramp signal reaches a reference signal. A processor of the device may be adapted to determine whether the clock signal is operating in an acceptable frequency range, based on the selected count value.
Abstract:
Techniques are disclosed for systems and methods using small form factor infrared imaging devices to image scenes in proximity to a vehicle. An imaging system may include one or more infrared imaging devices, a processor, a memory, a display, a communication module, and modules to interface with a user, sensors, and/or a vehicle. Infrared imaging devices may be positioned in proximity to, mounted on, installed in, or otherwise fixed relative to a vehicle. Infrared imaging devices may be configured to capture infrared images of scenes in proximity to a vehicle. Various infrared image analytics and processing may be performed on captured infrared images to correct and/or calibrate the infrared images. Monitoring information, notifications, and/or control signals may be generated based on the corrected infrared images and then presented to a user and/or a monitoring and notification system, and/or used to control aspects of the vehicle.
Abstract:
Various techniques are disclosed for providing systems for providing alignment guide information to selectively direct a visible light source to substantially align the visible light source with a desired subject and to project a visible light beam substantially on the desired subject. For example, a system may include a small form factor infrared imaging module to capture thermal images of a scene, which may be received by a processor to generate alignment guide information such as a user-viewable image of the scene, a user-viewable cue, and a framing reticle. In another example, such a system may be implemented as a camera. In yet another example, such a system may be implemented as a spotlight.
Abstract:
Methods and systems are provided to reduce noise in thermal images. In one example, a method includes receiving an image frame comprising a plurality of pixels arranged in a plurality of rows and columns. The pixels comprise thermal image data associated with a scene and noise introduced by an infrared imaging device. The image frame may be processed to determine a plurality of column correction terms, each associated with a corresponding one of the columns and determined based on relative relationships between the pixels of the corresponding column and the pixels of a neighborhood of columns. In another example, the image frame may be processed to determine a plurality of non-uniformity correction terms, each associated with a corresponding one of the pixels and determined based on relative relationships between the corresponding one of the pixels and associated neighborhood pixels within a selected distance.
Abstract:
Various techniques are provided to detect abnormal clock rates in devices such as imaging sensor devices (e.g., infrared and/or visible light imaging devices). In one example, a device may include a clock rate detection circuit that may be readily integrated as part of the device to provide effective detection of an abnormal clock rate. The device may include a ramp generator, a counter, and/or other components which may already be implemented as part of the device. The ramp generator may generate a ramp signal independent of a clock signal provided to the device, while the counter may increment or decrement a count value in response to the clock signal. The device may include a comparator adapted to select the current count value of the counter when the ramp signal reaches a reference signal. A processor of the device may be adapted to determine whether the clock signal is operating in an acceptable frequency range, based on the selected count value.
Abstract:
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.
Abstract:
Various techniques are provided to compensate for and/or update ineffective (e.g., stale) calibration terms due to calibration drifts in infrared imaging devices. For example, a virtual-shutter non-uniformity correction (NUC) procedure may be initiated to generate NUC terms to correct non-uniformities when appropriate triggering events and/or conditions are detected that may indicate presence of an object or scene to act as a shutter (e.g., a virtual shutter). Scene-based non-uniformity correction (SBNUC) may be performed during image capturing operations of the infrared imaging device, for example, when a virtual-shutter scene is not available. Further, snapshots of calibration data (e.g., NUC terms) produced during the virtual-shutter NUC procedure, the SBNUC process, and/or other NUC process may be taken. Such snapshots may be utilized to provide useful NUC data when the infrared imaging device starts up or is otherwise reactivated, so that the SBNUC or other NUC methods may produce effective results soon after the start-up. Such snapshots may also be utilized to update ineffective calibration terms.