Example embodiments relate to identifying defects in optical detector systems based on extent of stray light. An example embodiment includes a method. The method includes capturing, using an optical detector system, an image of a scene that includes a bright object. The method also includes determining a location of the bright object within the image. Further, the method includes determining, based on the location of the bright object within the image, an extent of stray light from the bright object that is represented in the image. In addition, the method includes determining, by comparing the extent of stray light from the bright object that is represented in the image to a predetermined threshold extent of stray light, whether one or more defects are present within the optical detector system. The predetermined threshold extent of stray light corresponds to an expected extent of stray light.

An adhered substance detection apparatus includes a controller configured to function as a determination part, an extractor, and a detector. The determination part determines a representative edge direction using a predetermined angle range as a unit for each pixel area of a plurality of pixel areas of a photographic image photographed by a photographing device, the representative edge direction being determined for each of the pixel areas based on an edge angle of each pixel included in the pixel area. The extractor extracts an array pattern in which a plurality of the pixel areas having a same representative edge direction are continuously arranged along a predetermined scanning direction based on the representative edge directions of the pixel areas determined by the determination part. The detector detects whether an adhered substance area exists on a lens of the photographing device based on the array pattern extracted by the extractor.

The technology relates to detecting possible imaging sensor occlusion. In one example, a system including an imaging sensor and one or more processors may be configured to capture first image data using the imaging sensor. The one or more processors may encode the first image data into an uncompressed image file and generate a compressed image file based on the uncompressed image file. The file size of the compressed image file may be determined and based on the file size of the compressed image file, the system may determine that the imaging sensor is possibly occluded.

An image capturing apparatus includes a vibration device, a vibration transmission member, a housing that holds the vibration transmission member, a movable portion, and an optical member. The vibration device vibrates the image capturing apparatus to give a user a feeling corresponding to a user operation performed on an operation portion. The vibration transmission member transmits a vibration. The movable portion holds an image sensor that moves within a first area in a direction different from an optical axis to perform image blur correction. The optical member is arranged on an object side of the image sensor and on the optical axis. While the image sensor is located in the first area, the optical member and the vibration transmission member are not in contact with each other. When the image sensor moves to a second area outside the first area, the optical and vibration transmission members are brought into contact.

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.

The imaging apparatus 10 includes the lens 11, the image sensor 12 and the controller 14. A light receiving surface of the image sensor 12 is disposed on a focused position of an object by the lens 11, the object being located at a specific object distance. The controller 14 generates one or more second images from a first image obtained from the image sensor 12, the focus position of the second images being changed to an object distance different from a specific object distance, and determines the presence of foreign matters adhered to the surface on the object side of the lens, on the basis of the focused state of the second image.

The invention relates to a method for cleaning a detection system provided in a motor vehicle, the detection system including a glazed surface, at least one detection device and a device for acquiring information from the detection device, which acquires the information at a first frequency, the vehicle includes a cleaning device with pulsed air directed onto the glazed surface which projects the pulsed air onto the glazed surface of the detection system at a second frequency, the first frequency and the second frequency being substantially identical.

A system is disclosed for the automated correction of optical and digital aberrations in a digital imaging system. The system includes several main parts, including (a) digital filters, (b) hardware modifications, (c) digital system corrections, (d) digital system dynamics and (e) network aspects. The system solves numerous problems in still and video photography that are presented in the digital imaging environment.

A vibration device includes a light transmissive body, a first cylindrical body, a plate-shaped spring portion, a second cylindrical body, and a vibrating body. The light transmissive body includes a main body portion on an inner side of a portion supported by the first cylindrical body, and a protruding portion extending from the main body portion toward an outer circumference of the light transmissive body and protruding outward more than a portion supported by the first cylindrical body. A ratio between an equivalent mass calculated from a moment of inertia of the protruding portion and a weight of the main body portion is about 0.8 to about 1.2, and a resonant frequency of the light transmissive body is larger than a resonant frequency of the spring portion.

Devices, systems, and methods are provided for testing and validation of a camera. A device may capture a first image of a target using a camera, wherein the camera is in a clean state, and wherein the target is in a line of sight of the camera. The device may apply an obstruction to a portion of a lens of the camera. The device may apply a camera cleaning system to the lens of the camera. The device may capture a post-clean image after applying the camera cleaning system. The device may determine a post-clean SSIM score based on comparing the post clean image to the first image. The device may compare the post-clean SSIM score to a validation threshold. The device may determine a validation state of the camera cleaning system based on the comparison.