An integrity monitoring system for a first image sensor includes an electronic processor configured to receive sensor data for the provision of image data associated with an environment of the avionic sensor. The electronic processor is configured to monitor the avionic sensor for integrity. The electronic processor is configured to perform at least one of: determining a presence of an optical feature associated with optics of the first image sensor, comparing overlap information derived from the sensor data and other sensor data, comparing characteristics of a digital output stream of the sensor data to expected characteristics, or comparing a first motion derived from the image data and a second motion derived from avionic position equipment.

To generate training data based on normal content and anomalous content generated from the normal content. A training data generation method for generating training data used for generating a learned model for determining whether there is an anomaly in an inspection target, the training data generation method including: receiving normal content regarding the inspection target and anomalous content generated from the normal content; and generating training data based on a set of the normal content and one or more pieces of the anomalous content.

Embodiments of the disclosure provide a method for detecting bad points in a video, including: performing extreme filtering respectively on first, second and third frames of images which are sequentially and continuously in the video to obtain first, second and third filtered images, respectively; wherein the extreme filtering is one of maximum filtering and minimum filtering; determining first and second difference images according to the first, second and third filtered images; determining a candidate image according to the first and second difference images; and determining that at least part of points in the second frame of image corresponding to the valid point in the candidate image are bad points. The embodiment of the disclosure also provides a device and a computer-readable medium for detecting bad points in the video.

A TOF camera apparatus for transmitting light signals and recording the light that is scattered back at an object and also for determining the distance of the TOF camera apparatus from the object is proposed, wherein the TOF camera apparatus comprises: a transmitter for transmitting light signals, a receiver for detecting the light scattered back at the object, embodied in the form of a pixel matrix having at least one pixel, a modulation device for producing a modulation signal in order to modulate light signals that are to be transmitted by the transmitter, an evaluation device for evaluating the light detected by the receiver, which evaluation device is connected to the modulation device to obtain the modulation signal for evaluating and determining the distance. In order to make possible particularly reliable error detection, a check apparatus for error detection in at least one of the pixels is provided.

An image processing apparatus includes a processor including hardware. The processor is configured to: calculate a motion evaluation value on a motion of a subject in a determination target frame; acquire a difference evaluation value of the determination target frame; determine whether to perform defective pixel detection on an image of the determination target frame by using the motion evaluation value and the difference evaluation value; and when it is determined that the defective pixel detection is to be performed, detect a defective pixel by determining whether a pixel of interest that is a determination target is a defective pixel with respect to the image of the determination target frame, based on a pixel value of the pixel of interest and pixel values of neighboring pixels that are located in a vicinity of the pixel of interest.

An image-sensing system for the efficient detection of defective pixels is shown. An arithmetic logic unit (ALU) determines a defective pixel candidate of an image sensor based on the first frame captured by the image sensor, performs a lower-part comparison on the defective pixel candidate based on the first frame, and performs an upper-part comparison on the defective pixel candidate based on the second frame captured by the image sensor. The defective pixel candidate is confirmed to be defective based on the first frame as well as the second frame. Only limited pixel data is buffered for the defective pixel detection.

The present technology relates to a distance measuring device, a distance measuring method, a program, an electronic apparatus, a learning model generating method, a manufacturing method, and a depth map generating method that are designed to enable distance measurement with higher precision.

The distance measuring device includes: a first determination unit that determines whether or not the difference in depth value between a first pixel in a depth map and a second pixel adjacent to the first pixel is larger than a first threshold; and a second determination unit that determines whether or not the difference in confidence between the first pixel and the second pixel is larger than a second threshold, in a case where the first determination unit determines that the difference in distance between the first pixel and the second pixel is larger than the first threshold. In a case where the second determination unit determines that the difference in confidence between the first pixel and the second pixel is larger than the second threshold, the first pixel is confirmed to be a defective pixel. The present technology can be applied to a distance measuring device, for example.

A system including image sensor(s) including a plurality of pixels arranged on a photo-sensitive surface thereof; and image signal processor(s) configured to: receive, from image sensor(s), a plurality of image signals captured by corresponding pixels of image sensor(s); and process the plurality of image signals to generate at least one image, wherein, when processing, image signal processor(s) is configured to: determine, for a given image signal to be processed, a position of a given pixel on the photo-sensitive surface that is employed to capture the given image signal; and selectively perform a sequence of image signal processes on the given image signal and control a plurality of parameters employed for performing the sequence of image signal processes, based on the position of the given pixel.

In an imaging apparatus, each of a plurality of pixels has a first semiconductor area having a first conductivity type, a floating diffusion area, and a transfer gate positioned between the first semiconductor area and the floating diffusion area. In a part of the plurality of pixels, a partial area of the first semiconductor area receives a potential supplied from a contact. The part of the plurality of pixels further has a second semiconductor area having a second conductivity type positioned between the partial area and the transfer gate in a planar view.

A blemish detection and characterization system and techniques for an optical imaging device includes determining a ratio of the light intensity of the image lost to the blemish relative to an expected light intensity of the image without the blemish. The system and technique may include receiving an image, transforming an image into a processed image with transformations and filters, as well as determining a relative magnitude of an intensity of a portion of the processed image relative to another area of the image. The system and technique may include taking an action based on the relative magnitude including rejecting a sensor, reworking the sensor, cleaning the sensor, or providing information about the blemish to a system to use in weighing data collected from the sensor.