Disclosed is an image analysis apparatus for analyzing a camera image. The image analysis apparatus for analyzing a camera image segments an input fisheye camera image into segmented images with a preset size field of view and superimposes the segmented images so that some regions overlap, performs dewarping on each of the segmented images, then combines the segmented images on which the dewarping is performed using a preset combination method, generates an analysis image, and detects objects included in the analysis image. In this case, the image analysis apparatus removes a result recognized as a duplicate from a detection result of the object by post-processing.

A system and method for monitoring a roadway by comparing captured images to image inconsistencies caused by lost or unnecessary motion and for minimizing lost or unnecessary motion of an axel of a vehicle and filtering erroneous pulses of an electrical signal to generate a trigger signal to capture images is presented. The system enables the minimization of image artifacts causing distortion in an image. The system can take images of a target, compute an object pixel size of the image to ensure calibration of longitudinal measurements, and calibrate the rotary encoder with the camera of the machine vision system. The system can enable calibration of the locomotive components in the field to compensate for the misalignment of the machine vision system and provide safe travels.

A vehicular forward viewing image capture system includes an accessory module configured for attachment at an in-cabin side of a windshield of a vehicle, whereby a CMOS image sensor views through the windshield forward of the equipped vehicle. With the accessory module attached at the in-cabin side of the windshield, and while the vehicle is traveling along a road, captured image data is processed to determine (i) presence of an object of interest viewed by the image sensor and (ii) location and/or movement of the object of interest viewed by the image sensor. Multiple frames of captured image data are processed in determining location and/or movement of the object of interest. Image data captured by the image sensor is processed for an automatic headlamp control system of the equipped vehicle. The vehicular forward viewing image capture system automatically compensates for misalignment of the image sensor.

A vehicular forward viewing image capture system includes an accessory module configured for attachment at an in-cabin side of a windshield of a vehicle, whereby a CMOS image sensor views through the windshield forward of the equipped vehicle. With the accessory module attached at the in-cabin side of the windshield, and while the vehicle is traveling along a road, captured image data is processed to determine (i) presence of an object of interest viewed by the image sensor and (ii) location and/or movement of the object of interest viewed by the image sensor. Multiple frames of captured image data are processed in determining location and/or movement of the object of interest. Image data captured by the image sensor is processed for an automatic headlamp control system of the equipped vehicle. The vehicular forward viewing image capture system automatically compensates for misalignment of the image sensor.

A fingerprint identification device, a display panel, a fabrication method thereof, and a display device are disclosed. The fingerprint identification device includes a fingerprint sensor, an aperture diaphragm, and a first shielding structure. The fingerprint sensor includes a plurality of sensing units; the aperture diaphragm is on a light incident side of the fingerprint sensor and includes an aperture through which light is allowed to be incident on at least one sensing unit of the fingerprint sensor; and the first shielding structure is on a side of the aperture diaphragm facing away from the fingerprint sensor, and surrounds at least a portion of the aperture.

The present disclosure provides an ultrasonic sensor pixel circuit, a driving method thereof and a display panel. The ultrasonic sensor pixel circuit includes a detection module, of which a first terminal is connected with an ultrasonic sensing unit and a second terminal is connected with a first signal terminal, and the detection module is configured to generate a detection voltage according to an electric signal output from the ultrasonic sensing unit under control of the first signal terminal; an output module, of which a first terminal is connected with a third terminal of the detection module and a second terminal is connected with a read line, and the output module is configured to generate an output signal according to the detection voltage and provide the output signal to the read line.

This disclosure provides an apparatus and method for performing object detection based on images captured by a fisheye camera and an electronic device. The apparatus includes a memory and a processor coupled to the memory. The processor according to an embodiment is configured to: project an original image captured by the fisheye camera onto a cylindrical or spherical projection model, and perform reverse mapping to obtain at least two reversely mapped images, angles of view of the at least two reversely mapped images being towards different directions, detect objects in the reversely mapped images, respectively, and detect an object that is the same among the objects detected in the reversely mapped images. According to this disclosure, information in the wide field of view images obtained by capturing by the fisheye camera may be fully utilized.

This disclosure provides an apparatus and method for performing object detection based on images captured by a fisheye camera and an electronic device. The apparatus includes a memory and a processor coupled to the memory. The processor according to an embodiment is configured to: project an original image captured by the fisheye camera onto a cylindrical or spherical projection model, and perform reverse mapping to obtain at least two reversely mapped images, angles of view of the at least two reversely mapped images being towards different directions, detect objects in the reversely mapped images, respectively, and detect an object that is the same among the objects detected in the reversely mapped images. According to this disclosure, information in the wide field of view images obtained by capturing by the fisheye camera may be fully utilized.

There is provided an image capturing apparatus. A live view shooting unit iteratively captures live view images in accordance with a shooting parameter for live view shooting. A main shooting unit performs main shooting in accordance with a shooting parameter for main shooting. A training unit performs, after the main shooting has been performed, training of a training model that outputs a shooting parameter in accordance with an input image, based on the shooting parameter for the main shooting and a first live view image captured by the live view shooting unit.

Systems, apparatuses, and methods related to media type selection for image data are described. Memory systems can include multiple types of memory media (e.g., volatile and/or non-volatile) and can write data to the memory media types. Image data inputs can be written (e.g., stored) in a particular type of memory media characteristics. For instance, selection of memory media can be based on one or more attributes of the image data. In an example, a method can include receiving, by a memory system that comprises a plurality of memory media types, image data from a first image sensor of a plurality of image sensors, identifying one or more attributes of the image data, and writing, based at least in part on the one or more attributes of the image data, the image data to a first memory media type of the plurality of memory media types.