A method for quantifying an exposure dose for a surface is disclosed. The method may include emitting one or more beams of 222 nm light onto a portion of the surface using one or more far ultraviolet (UV) light sources capable of emitting 222 nm light, the portion of the surface being coated with one or more fluorescent coatings. The method may include capturing images of the portion of the surface. The method may include adjusting one or more image characteristics for the captured images using one or more filtering methods. The method may include generating a histogram of the adjusted images based on the one or more filtering methods. The method may include determining a pixel surface area for the generated histogram. The method may include calculating the exposure dose for the surface based on the generated pixel surface area and a predetermined calibration curve.

A device and a method reduce a backlight effect on a camera of a robot in consideration of a situation of the robot. The device acquires a surrounding image, communicates with a system of the robot to obtain a current state value of the robot, and calculates a parameter value of the camera based on the current state value of the robot. Thus, the device precisely corrects the parameter of the camera based on an environment where the robot is actually located, thereby reducing the backlight effect on the camera.

Changes in ambient light intensity are detected by processing image data from an image capture device to determine, iteratively, a signal-to-noise ratio of the image data. The signal-to-noise ratio is a ratio of average to variance of pixel values for some of the pixels forming the image. A control outputis generated, based on the signal-to-noise ratio, that is responsive to changes in ambient light intensity. The control output is used control a light source of a vehicle.

A intelligent long-distance infrared fill-light set for illuminating a predetermined target range at least 500 meters away cooperates with an infrared image-acquisition equipment to obtain an image of an illuminated-object, and includes: infrared fill-lights each including an optical lens, optical axis passing through a focus, infrared light sources emitting an infrared beam having a main beam angle, to generate a substantial overlapping area and at least one non-overlapping area when illuminating to the predetermined target range; enabling devices that enable light sources; and a control unit receiving image data acquired by the infrared image-acquisition equipment, for calculating and adjusting the enabling device to locally strengthen or weaken the substantial overlapping area and/or non-overlapping area. Infrared fill-lights are spaced a predetermined distance, so that the human eyes accidentally entering a predetermined dangerous illumination range will not be simultaneously illuminated by infrared beams, thereby avoiding exceeding a Maximum Permissible Exposure (MPE).

A wearable device includes: a base to be worn on a head of a user; a first sensor that is provided to the base to be at a distance from a surface of the user's head and measures a first signal relating to a temperature of the surface of the user's head; an estimation circuit that estimates a body temperature of the user based on the first signal; and a display that presents the body temperature of the user estimated by the estimation circuit.

A first light beam can be collected by using an optical module. A second light beam can be obtained based on the first light beam. An image sensor can perform photoelectric conversion on the infrared light beam that is in the second light beam and that is irradiated to the first channel to obtain a first electrical signal. Photoelectric conversion can be performed on the visible light beam that is in the second light beam and that is irradiated to the second channel to obtain a second electrical signal. An initial image can be generated based on the first electrical signal and the second electrical signal. A color image and a grayscale image can be sent to an image processor. The image processor can receive the color image and the grayscale image. Fusion processing can be performed on the color image and the grayscale image to obtain a fused image.

An apparatus includes an image sensor configured to capture a plurality of images different in in-focus position, at least one memory configured to store instructions, and at least one processor in communication with the at least one memory and configured to execute the instructions to determine a predetermined value of exposure in advance, control exposure so that the image sensor captures the plurality of images with the exposure less than the predetermined value, and correct brightness of at least a part of the plurality of images based on the predetermined value.

An image capturing apparatus that is capable of accurately acquiring motion vectors according to a photographing environment and performing blur correction with high accuracy. The image capturing apparatus includes an image sensor, and a photometry unit that performs photometry of a photographing environment. A motion vector calculation section calculates motion vectors based on images acquired by the image sensor. A camera system controller calculates a reliability of the motion vectors. A photographing condition determination section determines photographing conditions for consecutively photographing a plurality of images by the image sensor, according to a photometry result and the calculated reliability.

Described are systems and method directed to generation of a dimensionally accurate three-dimensional (“3D”) body model of a body, such as a human body, based on two-dimensional (“2D”) images of that body. A user may use a 2D camera, such as a digital camera typically included in many of today's portable devices (e.g., cell phones, tablets, laptops, etc.) and obtain a series of 2D body images of their body from different directions with respect to the camera. The 2D body images may then be used to generate a plurality of predicted body parameters corresponding to the body represented in the 2D body images. Those predicted body parameters may then be further processed to generate a dimensionally accurate 3D model of the body of the user.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that validate the synchronization of controllers in an aquaculture environment. One of the methods includes an image processor that receives images generated by a first image generating device that includes a light filter that is associated with light of a particular light frequency while an aquaculture environment was illuminated with light. Based on the image, the image processor determines whether the intensity value of the light frequency in the image satisfies a threshold value. Based on determining whether the intensity value of the light frequency in the image satisfies the threshold value, the image processor determines whether the aquaculture environment was illuminated with light of the particular light frequency when the image was generated. The image processor provides an indication of whether the aquaculture was illuminated with light of the particular frequency when the image was generated.