Technologies for source degradation and auto-tuning of cameras are disclosed. In one embodiment, a system includes a compute node connected to one or more cameras. The cameras can monitor an environment, such as a manufacturing process in a factory. The compute node may use image processing, such as a machine-learning-based algorithm, to monitor processes. A system integrator may adjust parameters of the camera and/or the algorithm, such as focus, gain, contrast, white balance, etc. The compute node can monitor the system integrator and learn how to adjust parameters in order to improve key performance indicators (KPIs) of the monitored process. In a production environment, the compute node may then automatically adjust parameters of the camera and/or analysis algorithm based on the actions of the system integrator in order to improve performance of the analysis algorithm.

An ingestible device comprising a capsule, a camera, an antenna, and a propulsion component id disclosed. The camera can capture images of various in vivo environments as the ingestible device traverses the gastrointestinal tract, and these images can be wirelessly transmitted to an electronic device located outside of the living body. The images may be transmitted to the electronic device for review by an operator responsible for controlling the ingestible device.

A solid-state imaging device capable of performing encryption processing with enhanced security by quite extremely safely generating unique information and performing encryption processing based on the generated unique information. There is provided a solid-state imaging device including a unique information generation unit that generates predetermined analog information, a unique value generation unit that generates a predetermined unique value based on the predetermined analog information, and an encryption processing unit that performs encryption processing using the predetermined unique value, in which the unique value generation unit includes a detection unit that converts the predetermined analog information into digital information, and a unique value calculation unit that calculates the predetermined unique value using the digital information, in which the solid-state imaging device further includes a high-pass filter that passes a high-frequency signal for at least one of the analog information or the digital information.

The image-capturing unit includes an imaging section; a holding section configured to hold a subject to be imaged by the imaging section; a light irradiation section configured to select light of one or more light sources out of multiple light sources having different wavelengths, and to irradiate the subject held in the holding section with the light; a storage section configured to store a correspondence among a color of the light emitted for irradiating the subject by the light irradiation section, a material of an irradiation surface irradiated with the light, and a resolution representing the number of pixels per unit length; and an image processing section configured to obtain the resolution from the correspondence, based on the color of the light emitted for irradiating the subject and the material of the irradiation surface of the subject, and to process a subject image by using the resolution.

The disclosure relates to assessing operation of two or more cameras. These cameras may be a group of cameras of a perception system of a vehicle having an autonomous driving mode. A first image captured by a first camera and a second image captured by a second camera may be received. A first feature vector for the first image and a second feature vector for the second image may be generated. A similarity score may be determined using the first feature vector and the second feature vector. This similarity score may be used to assess the operation of the two cameras and an appropriate action may be taken.

In a solid-state imaging element equipped with per-column ADCs, noise is reduced. A test signal source generates a test signal of a predetermined level. An analog-to-digital converter increases/decreases an analog signal according to an analog gain selected from among a plurality of analog gains, and converts the increased/decreased analog signal to a digital signal. An input switching section inputs, as the analog signal, either a test signal or a pixel signal to the analog-to-digital converter. A correction value calculation section obtains, on the basis of the test signal and the digital signal, a correction value for correcting an error in the selected analog gain, and outputs the correction value. A correction section corrects the digital signal according to the outputted correction value.

Position detection methods and systems are disclosed herein. The position detection method of detecting a position in an operation surface pointed by a pointing element includes obtaining a first taken image with the first infrared camera, obtaining a second taken image with the second infrared camera, removing a noise component from the first and second images converting the first and second taken into converted images without the noise component, forming a difference image between the first converted taken image and the second converted taken image, extracting a candidate area in which a disparity amount between the first converted taken image and the second converted taken image is within a predetermined range, detecting a tip position of the pointing element from the candidate area, and determining a pointing position of the pointing element and whether or not the pointing element had contact with the operation surface based on the detecting.

The present disclosure relates to a system for evaluating a built-in video recording device for a vehicle, the system including: a GUI (graphical user interface) test part configured to automatically perform evaluation of a GUI screen of a vehicle display device that operates in conjunction with the built-in video recording device for a vehicle; and an automatic evaluating part configured to automatically evaluate performance of the built-in video recording device for a vehicle based on a result evaluated by the GUI test part.

An augmented reality, virtual reality, or other wearable apparatus comprises an eye tracking device comprising an image sensor, a lens, and one or more processors. In some embodiments, the lens comprises a marker, and the one or more processors are configured to receive an image from the image sensor, wherein the image shows the marker, determine a distance from the image sensor to the marker based on the image, and change a calibration parameter of an eye tracking algorithm based on the distance. In some embodiments, the one or more processors are configured to receive image data from the image sensor, wherein the image data corresponds to an image as observed through the lens, determine a level or pattern of pincushion distortion in the image based on the image data, and change a calibration parameter of an eye tracking algorithm based on the level or the pattern of pincushion distortion.

Methods, systems, and apparatus, for a stray-light testing station. In one aspect, the stray-light testing station includes an illumination assembly including a spatially extended light source and one or more optical elements arranged to direct a beam of light from the spatially extended light source along an optical path to an optical receiver assembly including a lens receptacle configured to receive a lens module and position the lens module in the optical path downstream from the parabolic mirror so that the lens module focuses the beam of light from the spatially extended light source to an image plane, and a moveable frame supporting the optical receiver assembly including one or more adjustable alignment stages to position the optical receiver assembly relative to the illumination assembly such that the optical path of the illumination assembly is within a field of view of the optical receiver assembly.