An inspection apparatus includes a specimen stage, one or more imaging devices and a set of lights, all controllable by a control system. By translating or rotating the one or more imaging devices or specimen stage, the inspection apparatus can capture a first image of the specimen that includes a first imaging artifact to a first side of a reference point and then capture a second image of the specimen that includes a second imaging artifact to a second side of the reference point. The first and second imaging artifacts can be cropped from the first image and the second image respectively, and the first image and the second image can be digitally stitched together to generate a composite image of the specimen that lacks the first and second imaging artifacts.

Described are various embodiments of a light field display, adjusted pixel rendering method and computer-readable medium therefor, and vision correction system and method using same addressing astigmatism or similar conditions. In one embodiment, a computer-implemented method is provided to automatically adjust user perception of an input image to be rendered on a digital display via a set of pixels thereof, wherein the digital display has an array of light field shaping elements.

A video monitoring system includes a camera head, including an infrared illumination source and an image sensor. A mount is configured to hold the camera head in a fixed location and orientation above a crib, so that the image sensor captures images of the crib and an intervention region adjacent to the crib from a fixed perspective.

A system for visibility enhancement for a motor vehicle assistant system for warning the driver of hazardous situations due to at least one object being located within a critical range defined relative to the motor vehicle includes at least a first sensor means comprising a camera installed in a rear view equipment of the motor vehicle adapted to record at least one image, and an image processing means adapted to receive a first input signal from the first sensor means containing the at least one image and a second input signal containing at least one position profile of the at least one object located within the critical range, and manipulate the at least one image to generate a contrast manipulated image. A corresponding method of visibility enhancement is also described.

System that allows devices of an autonomous store, such as sensors in product display areas, to receive power and communicate data over conductive rails of store fixtures. By using fixtures to transmit data and power, the need for cabling to these devices, or for batteries to power the devices, is eliminated or greatly reduced, thereby dramatically simplifying installation and maintenance. Illustrative fixtures over which devices can communicate include slatwalls, pegboards, and rectangular support bars. Power and data may be multiplexed onto the same pair of conductive rails. Embodiments may use device hubs to coordinate communication with devices and to act as gateways between devices and centralized store servers. Devices may communicate their identities and locations to store servers to facilitate installation; for example, they may display their identities on electronic labels that are imaged by store cameras, so that the store server can learn the location of each device automatically.

An input apparatus for inputting a diagnosis result of a diagnosis target detectable for a structure includes circuitry configured to display a spherical image captured for the structure on a screen, receive an input of a position of the diagnosis target in the spherical image, store position information indicating the received position of the diagnosis target in the spherical image in a memory, display, on the screen, the spherical image and a diagnosis information input field used for inputting diagnosis information of the diagnosis target, receive an input of the diagnosis information of the diagnosis target input via the diagnosis information input field, and store the diagnosis information and the position information indicating the received position of the diagnosis target in the spherical image, in the memory in association with each other.

An input apparatus for inputting a diagnosis result of a diagnosis target detectable for a structure includes circuitry configured to display a spherical image captured for the structure on a screen, receive an input of a position of the diagnosis target in the spherical image, store position information indicating the received position of the diagnosis target in the spherical image in a memory, display, on the screen, the spherical image and a diagnosis information input field used for inputting diagnosis information of the diagnosis target, receive an input of the diagnosis information of the diagnosis target input via the diagnosis information input field, and store the diagnosis information and the position information indicating the received position of the diagnosis target in the spherical image, in the memory in association with each other.

The present teaching relates to method, system, medium, and implementations for sensor calibration. An ego vehicle determines whether a sensor deployed thereon to facilitate autonomous driving needs to be calibrated and sends, if it is determined that the sensor needs to be calibrated, a request for assistance in collaborative calibration of the sensor to a center. The request includes at least a first position of the ego vehicle on the route and a first configuration of the sensor with respect to the ego vehicle. When the ego vehicle receives a calibration assistant package, which includes information associated with a collaborative means present along the route and to be used to assist the ego vehicle to calibrate the sensor, it identifies, based on the information, the collaborative means along the route when the ego vehicle is in a vicinity of the collaborative means in order to capture a target present on the collaborative means to enable calibration of the sensor.

The present teaching relates to method, system, medium, and implementations for sensor calibration. An ego vehicle determines whether a sensor deployed thereon to facilitate autonomous driving needs to be calibrated and sends, if it is determined that the sensor needs to be calibrated, a request for assistance in collaborative calibration of the sensor to a center. The request includes at least a first position of the ego vehicle on the route and a first configuration of the sensor with respect to the ego vehicle. When the ego vehicle receives a calibration assistant package, which includes information associated with a collaborative means present along the route and to be used to assist the ego vehicle to calibrate the sensor, it identifies, based on the information, the collaborative means along the route when the ego vehicle is in a vicinity of the collaborative means in order to capture a target present on the collaborative means to enable calibration of the sensor.

A real time assay monitoring system and method can be used to monitor reagent volume in assays for fluid replenishment control, monitor assays in real-time to obtain quality control information, monitor assays in real-time during development to detect saturation levels that can be used to shorten assay time, and provide assay results before the assay is complete, enabling reflex testing to begin automatically. The monitoring system can include a real time imaging system with a camera and lights to capture images of the assay. The captured images can then be used to monitor and control the quality of the staining process in an assay, provide early assay results, and/or to measure the on-site reagent volume within the assay.