Provided are an electronic system, an image system, and a method for measuring particulate matter. The electronic system includes an illuminator, a sensor and a processor. The illuminator outputs light. The sensor includes a pixel array to generate an analog signal based on scattered light according to the output light, and a converting circuit to convert the analog signal into digital signals respectively corresponding to gain values, based on the gain values. The processor counts the number of values greater than or equal to a threshold value among values of the digital signals, and calculates a concentration of particulate matter having a target size range, based on a variation in the counted number according to a change of the gain values.

Example embodiments relate to microlensing for real-time sensing of stray light. An example device includes an image sensor that includes a plurality of light-sensitive pixels. The device also includes a first lens positioned over a first subset of light-sensitive pixels selected from the plurality of light-sensitive pixels. Further, the device includes a controller. The controller is configured to determine a first angle of incidence of a first light signal detected by the first subset of light-sensitive pixels. The controller is also configured to, based on the first determined angle of incidence, determine an amount of stray light incident on the image sensor.

A method for determining whether or not a transparent protective cover of a video camera comprising a lens-based optical imaging system is partly covered by a foreign object is disclosed. The method comprises: obtaining (402) a first captured image frame captured by the video camera with a first depth of field; obtaining (404) a second captured image frame captured by the video camera with a second depth of field which differs from the first depth of field; and determining (406) whether or not the protective cover is partly covered by the foreign object by analysing whether or not the first and second captured image frames are affected by presence of the foreign object on the protective cover such that the difference between the first depth of field and the second depth of field results in a difference in a luminance pattern of corresponding pixels of a first image frame and a second image frame. The first image frame is based on the first captured image frame and the second image frame is based on the second captured image frame.

Provided is an excellent robot device capable of preferably detecting difference between dirt and a scratch on a lens of a camera and difference between dirt and a scratch on a hand. A robot device 100 detects a site in which there is the dirt or the scratch using an image of the hand taken by a camera 305 as a reference image. Further, this determines whether the detected dirt or scratch is due to the lens of the camera 305 or the hand by moving the hand. The robot device 100 performs cleaning work assuming that the dirt is detected, and then this detects the difference between the dirt and the scratch depending on whether the dirt is removed.

Systems and methods for detecting defective camera arrays, optic arrays and/or sensors are described. One embodiment includes capturing image data using a camera array; dividing the captured images into a plurality of corresponding image regions; identifying the presence of localized defects in any of the cameras by evaluating the image regions in the captured images; and detecting a defective camera array using the image processing system when the number of localized defects in a specific set of image regions exceeds a predetermined threshold, where the specific set of image regions is formed by: a common corresponding image region from at least a subset of the captured images; and any additional image region in a given image that contains at least one pixel located within a predetermined maximum parallax shift distance along an epipolar line from a pixel within said common corresponding image region within the given image.

A camera device includes image capturing device, a lens cleaning device, an adhesion state assessment unit and a controller. The image capturing device is installed on a vehicle and has a lens for forming an image of the vehicle surroundings. The lens cleaning device cleans the lens by spraying a cleaning fluid on the lens in accordance with a predetermined lens cleaning step, in which at least a supply time for supplying cleaning fluid to the lens surface is predetermined. The adhesion state assessment unit is programmed to assess an adhesion state of contamination from a distribution of pixels corresponding to foreign matter adhered to the lens based on a captured image. The controller is programmed to extend the time until a time to start supplying the cleaning fluid in the lens cleaning step as the number of pixels corresponding to foreign matter adhered to the lens increases.

An air passage and two lines of cleaning liquid paths are provided in a nozzle, and the air passage is bifurcated into two lines of distal end portions. Then, a distal end portion of the cleaning liquid path and the distal end portion of the air passage are merged. Thus, if the compressed air is supplied to the air passage, the resulting air flow causes a negative pressure on the downstream side. This enables making a cleaning liquid into the form of a mist and suctioning it, and to mix the cleaning liquid in the form of a mist with the compressed air, whereby it is possible to clean the lens surface and to reduce the amount of the cleaning liquid used.

Systems and methods for performing photometric normalization in an array camera in accordance with embodiments of this invention are disclosed. The image data of scene from a reference imaging component and alternate imaging components is received. The image data from each of the alternate imaging components is then translated to so that pixel information in the image data of each alternate imaging component corresponds to pixel information in the image data of the reference component. The shifted image data of each alternate imaging component is compared to the image data of the reference imaging component to determine gain and offset parameters for each alternate imaging component. The gain and offset parameters of each alternate imaging component is then applied to the image data of the associate imaging to generate corrected image data for each of the alternate imaging components.

The present invention provides a piezoelectric material not containing lead and potassium, having a high relative density, a high Curie temperature, and a high mechanical quality factor, and exhibiting good piezoelectricity. The piezoelectric material contains 0.04 percent by mole or more and 2.00 percent by mole or less of Cu relative to 1 mol of metal oxide represented by General formula (1) below.
((Na.sub.1-zLi.sub.z).sub.xBa.sub.1-y)(Nb.sub.yTi.sub.1-y)O.sub.3 (in Formula, 0.70≦x≦0.99, 0.75≦y≦0.99, and 0<z<0.15, and x<y)  General formula (1)

A sensor apparatus includes a housing attachable to a vehicle and including a panel, a sensor window, a liquid nozzle fixed relative to the housing, and a tunnel. The panel includes a port. The sensor window is positioned in the port. The liquid nozzle is aimed at the sensor window. The liquid nozzle is positioned in a first horizontal direction from the port along the panel. The tunnel extends along the panel and is positioned in a second horizontal direction from the port, the second horizontal direction being opposite the first horizontal direction. The tunnel terminates at an opening positioned to receive fluid outputted by the nozzle.