An infrastructure to vehicle communications system includes a full spectrum camera disposed on a vehicle. A sign, disposed away from the vehicle, includes a message thereon. The sign reflecting visible light, and at least a portion of the message being an optical code; the optical code not reflecting visible light and reflecting invisible light. The full spectrum camera captures the image of the sign including the optical code. A smart vision device receives the image and determines the existence of the sign from the reflected visible light and the optical code thereon from the reflected invisible light. A data base stores one or more optical codes and one or more messages associated with a respective optical code, an on board unit communicating with the database and retrieves the message as a function of the optical code, and displays the message at a display in the vehicle.

The present disclosure discloses a face identification system that includes an image-retrieving circuit, an invisible light source and a processing circuit. The image-retrieving circuit includes light-sensing elements each including a plurality of visible light sensors and an invisible light sensor. The processing circuit executes software and firmware executable commands to execute a face identification method that includes the steps outlined below. An invisible light is emitted to an object to be identified by the invisible light source. A visible light sensed frame and an invisible light sensed frame are retrieved by using the visible and invisible light sensors. Determine whether a light reflection related parameter of the invisible light sensed frame is within a predetermined range is determined only according to the invisible light sensed frame. When the light reflection related parameter is within the predetermined range, the object to be identified is determined to be a real face.

The present disclosure discloses a face identification system that includes an image-retrieving circuit, an invisible light source and a processing circuit. The image-retrieving circuit includes light-sensing elements each including a plurality of visible light sensors and an invisible light sensor. The processing circuit executes software and firmware executable commands to execute a face identification method that includes the steps outlined below. An invisible light is emitted to an object to be identified by the invisible light source. A visible light sensed frame and an invisible light sensed frame are retrieved by using the visible and invisible light sensors. Determine whether a light reflection related parameter of the invisible light sensed frame is within a predetermined range is determined only according to the invisible light sensed frame. When the light reflection related parameter is within the predetermined range, the object to be identified is determined to be a real face.

Technology is provided for identifying concrete and/or asphalt (or other materials) in a multispectral satellite image that has multiple bands including a first set of bands from a first sensor and a second set of bands from a second sensor. The second sensor is at a different position on a focal plane as compared to the first sensor so that a single location depicted in the multispectral image will have been sensed at different times by the first sensor and the second sensor. The system identifies moving vehicles in the multispectral image and subsequently identifies sample pixels in the multispectral image that are near the moving vehicles. These pixels are high confidence samples of roads made of concrete and/or asphalt. Additional pixels are identified in the multispectral image having spectral characteristics that are within a threshold of spectral characteristics of the sample pixels. These additional pixels also depict concrete and/or asphalt.

A computer, including a processor and a memory, the memory including instructions to be executed by the processor to determine a first measure of pixel values in the first image, acquire a second image, estimate ambient light illuminating the first object based on the second image and modify the first measure of pixel values based on a second measure of pixel values corresponding to estimated ambient light based on the second image. The instructions include further instructions to perform a comparison of the modified first measure of pixel values to a third measure of pixel values determined from a third image of a second object, wherein the third image is previously acquired by illuminating the second object with a second light beam and, when the comparison determines that the first measure is equal to the third measure of pixel values within a tolerance, determine whether the first object and the second object are a same object.

Described herein is an imaging system (200) for imaging a scene. The system (200) includes a camera (106) having an image sensor for capturing images of the scene in both the visible and infrared wavelength ranges and at least one light source (108) configured to emit a beam of light to selectively illuminate the scene with infrared radiation during image capture by the camera (106). The system (200) also includes an electrically controllable filter (203) being configured to pass infrared wavelengths to the image sensor and selectively pass or filter visible light received at the image sensor based on a control signal.

The present description relates to light patterns used in a live action scene of a visual production to encode information associated with objects in the scene, such as movement and position of the objects. A data capture system is enabled to differentiate between various groups of active markers attached to the objects in the scene. The groups of active markers emit particular wavelengths in strobing patterns predefined for the various groups. In some implementations, the groups are instructed to emit its assigned signature light pattern through a signal controller transmitting an initial key signature predefined for the group, followed by pattern signals to a control unit. The data representing the pattern is captured in illuminated and blank frames. Frames showing the light pattern are analyzed to extract information about the groups of active markers, such as distinguishing the groups and identifying the objects to which they are attached.

The present description relates to light patterns used in a live action scene of a visual production to encode information associated with objects in the scene, such as movement and position of the objects. A data capture system includes active markers that emit light of a particular wavelength in predefined strobing patterns. In some implementations, the active markers are instructed to emit an assigned signature pattern of light through a signal controller sending signals to a control unit. Various components are synchronized such that pulsing of light corresponds to time slices and particular frames captured by the performance capture system. The data representing the pattern is embedded in illuminated and blank frames. Frames showing the light pattern are analyzed to extract information about the active markers, such as identification of the active markers and objects to which they are attached.

A computer, including a processor and a memory, the memory including instructions to be executed by the processor to acquire a first image by illuminating a first object with a first light beam, determine a first measure of pixel values in the image and perform a comparison of the first measure of pixel values to a second measure of pixel values determined from a second image of a second object, wherein the second image is previously acquired by illuminating the second object with a second light beam. The instructions include further instructions to, when the comparison determines that the first measure is equal to the second measure of pixel values within a tolerance, determine that the first object and the second object are a same object.

A method of thermographic inspection is disclosed, including applying a thermal pulse to a surface and capturing an image of a thermal response of the surface. The image is captured with an infrared camera through a polarizer having a first orientation. The method further includes determining, by analysis of the image, whether the thermal response is indicative of a crack on the surface.