125 results about "Shutter speed" patented technology

The invention relates to a monocular vision tower span measurement method based on RTK correction, and belongs to the technical field of space distance measurement. Comprising the following steps: acquiring ambient light intensity and quality in real time based on an environment where a power transmission and distribution tower is located, and obtaining ambient light adaptation parameters by analyzing ambient light data and adjusting ISO sensitivity and shutter speed of a camera. According to the method, real-time environment light data analysis and camera parameter automatic adjustment are introduced in the monocular vision tower span measurement process, the image quality is effectively improved, tower recognition is more accurate, background interference is reduced, the geographic position and the shooting angle of a shooting point are corrected through the RTK technology, and the measurement accuracy is improved. And perspective transformation correction is carried out on the image in cooperation with a perspective projection theory, and the accuracy of distance measurement data is improved to centimeter level.

It is possible to generate an image captured with a camera control parameter optimum for a clipped image of a partial region of a captured image by a camera, and to distribute, display, or record the image. The image processing device includes: a clipping execution unit that generates a clipped image obtained by clipping a partial region from a captured image by a camera; a camera control parameter determination unit that determines a camera control parameter optimum for the cut-out image; and a camera control unit that causes the camera to execute image capturing to which the camera control parameter determined by the camera control parameter determination unit is applied. The camera control parameter determination unit determines a camera control parameter of at least one of focus, exposure, white balance (WB), shutter speed, or aperture optimum for the clipped image.

The invention discloses a three-dimensional scanning system for the medical field, belongs to the technical field of three-dimensional scanning, and aims to solve the problems of dynamic change, low data acquisition efficiency and high post-processing complexity in the three-dimensional scanning process. The camera captures the reflection intensity and automatically adjusts the brightness and the contrast ratio of the projector; capturing a light pattern reflection image and acquiring an acquisition distance, and automatically adjusting the shutter speed of the camera and optimizing data capture after ensuring that a scanning rule is met; the reflection data are preprocessed, invalid data are filtered, the reflection data are converted into point cloud, and pose transformation, view angle combination, density equalization and outlier removal are carried out; a three-dimensional model is generated based on the processed point cloud data, and target identification and labeling are completed through grid optimization; reflection data and processing results are stored and managed, and efficient and accurate three-dimensional scanning and modeling are achieved.

The invention discloses a sports runway pavement damage identification method. The method comprises the following steps: establishing a construction defect template and a use wear template; controlling the unmanned aerial vehicle to fly along the geometrical shape of the runway through a preset flight path, adopting automatic exposure adjustment and shutter speed optimization to adapt to cloudy or strong light conditions, and collecting high-resolution runway surface images with the pixel resolution reaching the micron level to obtain a first image set; for the first image set, smoothing light interference noise by adopting bilateral filtering processing and reserving edge details, and correcting the influence of strong light reflection or shadow through pixel value normalization processing to obtain a second image set; and extracting defect features from the second image set, performing multi-scale feature analysis by adopting a convolutional neural network, calculating a crack length, a recess area and a bump height, generating a high-dimensional feature vector containing defect shapes and textures, and obtaining a defect feature set.

The invention discloses an internal combustion engine in-cylinder transient self-adaptive exposure control method based on FPGA acceleration, and belongs to the technical field of internal combustion engine endoscopic visualization. In order to solve the technical problem of image overexposure or underexposure caused by violent illumination change in the combustion process in an internal combustion engine cylinder, a real-time exposure detection unit is fused with a camera built-in sensor and an endoscope added sensor to monitor light intensity data; the adaptive exposure control unit accelerated by the FPGA adopts adaptive PID control and fuzzy logic control to generate a parameter adjustment direction, the adaptive PID dynamically adjusts gain based on a machine learning model, and the fuzzy logic outputs a decision according to a fuzzy rule base of brightness, light intensity and errors; the parameter adjusting unit adjusts the aperture size, the shutter speed and the light sensitivity in a linkage mode according to the target and actual gray scale difference value, and millisecond-level multi-parameter exposure control is achieved. Overexposure of a highlight area and loss of details of a low-light area are effectively avoided, and stable and clear images are obtained in the whole combustion process.

The invention belongs to the technical field of bridge structure defects, and particularly discloses an underwater bridge structure defect identification method based on machine vision, and the method comprises the steps: firstly, employing a water surface monitoring camera to detect water surface moving objects around a pier, and carrying out the recognition of the underwater bridge structure defects based on the types, distribution density and motion trails of the objects; constructing a static distribution interference factor and a dynamic motion interference factor, and performing weighted fusion to generate a water body detection interference coefficient. Meanwhile, the water turbidity and the real-time flow velocity are obtained by means of an underwater sensor, and the light supplementing distance, the red light proportion and the shutter speed are dynamically adjusted in combination with the water detection interference coefficient. Then, the ROV is controlled to descend with the axis of the pier as the spiral center, visible light and ray transmission images are synchronously collected according to the adjusted parameters, a panoramic image is formed through fusion splicing, finally, defect danger indexes are output through image recognition and fed back, efficient detection and accurate evaluation of the state of the pier are achieved, and reliability and effectiveness of defect recognition are enhanced.

The invention discloses a rice mature period judgment method based on image recognition, and relates to the technical field of computer vision and agricultural informationization, and the method comprises the following steps: carrying out the continuous shooting of a rice field at a set initial image capture frequency through a high-definition visible light camera carried by an unmanned plane, and obtaining the original image data of rice ears; according to the method, a dynamic regulation and control mechanism is constructed based on an image recognition and machine learning fusion technology, and intelligent sensing of the rapid swinging state of the rice ears and self-adaptive adjustment of image acquisition parameters are achieved. The space and time dimension features are extracted through feature engineering, the model evaluation result is combined, the image capture frequency and the shutter speed are dynamically optimized, gale interference is effectively dealt with, the image definition and the recognition accuracy are improved, high-quality data support is provided for rice mature period judgment, and the system environment adaptability is enhanced.

The invention discloses a mining intelligent helmet safety early warning method based on image recognition, and relates to the technical field of mining safety, and the method comprises the steps: collecting underground environment data in real time, the underground environment data comprising dust concentration and illumination intensity; calculating a current exposure parameter according to the dust concentration and the illumination intensity based on a reinforcement learning algorithm, driving a camera to adjust the aperture and shutter speed, and outputting an optimized low-noise image; and according to the illegal operation probability and the personnel action sequence, triggering a grading alarm signal through a vibration motor arranged in the helmet, simultaneously superposing the dangerous area coordinates to an AR display interface, and generating a safe operation guidance text. According to the method, the space-time correlation features of multiple frames of images are extracted, a coupling relation model of dust scattering and illumination attenuation is established, an exposure parameter-assisted semantic segmentation feature enhancement mechanism is constructed, and the target recognition effect in a complex environment is effectively improved.

The invention discloses a vehicle bottom inspection imaging method and device of a CMOS area-array camera, and relates to the technical field of image processing, and the method comprises the steps: a vehicle sensing device informs a vehicle sensing control module of a controller after sensing that a vehicle enters an inspection area; the vehicle sensing control module notifies the area-array camera to read data of the radar control module; the frame rate and the shutter speed of the CMOS for collecting the vehicle bottom image data are determined according to the speed data, the original image data collected by the area array vehicle bottom scanning camera are transmitted to the upper computer through the network, image correction, cutting and splicing are carried out, and a complete vehicle bottom image is formed and displayed. By reading the speed data of the vehicle, calculating the frame rate of the image data acquired by the camera CMOS matched with the current vehicle speed, and adjusting the frame rate of the camera CMOS and the shutter speed in real time, the quality of images imaged by the camera is higher, each image acquired by the CMOS is effective image data, the image post-processing is simpler and quicker, and the image processing time is shortened.

An image pickup apparatus includes an image sensor, and a processor that configured to detect a phase difference between a pair of detection signals generated by signals read out of at least a part of pixels, perform a first detection for detecting the phase difference in the first direction and a second detection for detecting the phase difference in the second direction, perform first processing for acquiring the information by the first detection or the second detection in a case where a shutter speed including a period during which the pair of detection signals are generated is longer than a predetermined time, perform second processing for acquiring the information by the first detection irrespective of the second detection in a case where the shutter speed is shorter than the predetermined time, and set the predetermined time to be longer as an F-number of the optical system is larger.

An image capturing apparatus capable of reducing exposure variation in opposite end areas of an image when photographing is performed with flash light emission while shortening a flash synchronization time. A system controller determines a shutter speed for flash light emission photographing. The system controller selectively executes first control for controlling a traveling speed of a front curtain of a shutter and a traveling speed of a rear curtain of the shutter to the same speed, and second control for controlling the traveling speed of the front curtain to be higher than the traveling speed of the rear curtain. Before flash light emission photographing is performed, the system controller determines which of the first control and the second control is to be adopted according to the shutter speed.

The invention discloses a 360-degree image adjusting method, a 360-degree image adjusting system and a controller, and relates to the field of vehicle driving. According to the method, the current light condition is detected through image data of a first image acquired by a light sensor or an analysis camera, target exposure parameters are calculated according to the current light condition, and the target exposure parameters comprise the shutter speed, the aperture size and the light sensitivity; adjusting the camera according to the target exposure parameter, and obtaining a second image through the adjusted camera; the color average value of different areas in the second image is calculated, white balance parameters are calculated according to the color average value, and the white balance parameters comprise color temperature, hue and saturation; and performing color correction on the second image according to the white balance parameter to obtain a third image, and splicing a plurality of third images to form a finally presented image. By implementing the technical scheme provided by the invention, the imaging quality and viewing experience of the 360-degree image are improved.

An electronic device including a camera and an operation method of the electronic device are provided. The electronic device includes display circuitry, a camera disposed on a rear surface of the display circuitry, a memory, and at least one processor electrically connected to the display circuitry, the camera, and the memory and being configured to identify camera driving information set for the camera, identify a shutter speed included in the set camera driving information, change set display driving information such that a time of a non-emission interval of the duty cycle of the display circuitry is greater than the shutter speed, and based on the changed display driving information, control a driving of the camera.

This imaging device comprises: an acquisition unit that acquires a first frequency of a light source; and a display unit that selectably displays a plurality of shutter speeds that are integer multiples of a period corresponding to the first frequency acquired by the acquisition unit.

The application discloses a light-weight tunnel apparent disease intelligent detection device and method capable of conveniently switching a carrying platform. Through highly integrated light-weight, convenient and modular design, the application can be conveniently switched on different carrying platforms to meet the mobile detection requirements of different types of tunnels. The laser light source is combined with the linear array camera to avoid the defects of the traditional LED linear array light source, such as serious scattering at a long distance, the need for a large power to meet the requirements, the improvement of the effective light source efficiency, the reduction of the number and power of the light source equipment, the reduction of power consumption, and the guarantee of meeting the equipment use requirements with a small UPS power supply. The laser light supplementing and condensing effect is good, and the camera can shoot at a lower shutter speed, which can not only reduce the trailing effect caused by shooting in a moving state and improve the definition, but also enable the camera to adopt a higher shooting line frequency and improve the overall moving speed of the equipment.

The present invention provides an imaging control device that can suppress the occurrence of uneven lighting by setting an appropriate shutter speed. [Solution] The imaging control device 101, which controls the operation of the imaging device 100, determines the upper limit of the configurable shutter speed in the imaging device 100 based on information regarding the flat emission frequency of the light-emitting device 300.

This control device is provided with a first processor. The first processor performs: a process for acquiring, from a target position, the brightness of an imaging target region imaged by the imaging device, at a point in time before a first moving body on which the imaging device is mounted reaches the target position; obtaining a shutter speed corresponding to the brightness and a moving speed corresponding to the shutter speed; at the target position, the first moving body is moved at the moving speed, and at the same time, the image pickup device captures an image pickup target area at the shutter speed.

The present invention discloses a safety warning method for a mining smart helmet based on image recognition, which relates to the field of mining safety technology. The method comprises the following steps: collecting underground environmental data in real time, wherein the underground environmental data includes dust concentration and light intensity; calculating the current exposure parameters according to the dust concentration and light intensity based on a reinforcement learning algorithm, driving the camera to adjust the aperture and shutter speed, and outputting an optimized low-noise image; triggering a graded alarm signal through a vibration motor built into the helmet according to the probability of illegal operation and the sequence of personnel actions, superimposing the coordinates of the dangerous area on the AR display interface, and generating a safe operation guidance text. The present invention extracts the spatiotemporal correlation features of multiple frames of images, establishes a coupled relationship model of dust scattering and illumination attenuation, and constructs a semantic segmentation feature enhancement mechanism assisted by exposure parameters, thereby effectively improving the target recognition effect in complex environments.

An electronic device, a method and a computer program product for controlling image capturing via a first camera to capture images for use in a facial recognition process. The method includes capturing, via a first camera, a first image. The method includes determining if the first image contains a face. In response to determining the first image contains the face, the method includes identifying a skin tone frequency associated with the face. The method includes determining if the skin tone frequency is less than a skin tone frequency threshold. In response to determining the skin tone frequency is less than the skin tone frequency threshold, the method includes decreasing a first shutter speed of the first camera to a second shutter speed. The method includes capturing a second image, via the first camera using the second shutter speed. The method includes performing facial recognition based authentication using the second image.

The invention relates accessory device for photography using a smartphone (11), formed by a monobloc grip (1) comprising an electronic viewfinder (3), a main printed circuit board (12), a proximity sensor (15) and physical control elements (5-8) connected to a microcontroller (14). The device communicates with the phone (11) by means of a physical connection interface (17), eliminating the need for wireless links and guaranteeing low latency. A proprietary application (18) installed on the phone manages the automatic switching of the image between the screen and the viewfinder (3), as well as manual control of camera parameters, such as ISO, exposure, shutter speed or white balance, also allowing the execution of programmable combinations and the updating of firmware. The grip includes a hollow attachment handle (2) and means for fastening external lenses (10) by means of a metal adapter (9).

The invention provides an automatic exposure method for near-infrared first-area fluorescence imaging, which comprises the following steps of: imaging an indocyanine green sample which excites near-infrared first-area rays by using different exposure levels to obtain a series of fluorescence image data under different exposure conditions, each exposure level is determined by a specific gain and shutter speed combination; establishing a mapping relation between the gray scale and the exposure level of the fluorescence image; predicting the performance of the current fluorescence image under any exposure level based on the established mapping relation; and according to the prediction result, selecting the exposure level capable of generating the optimal image quality under the current condition as the optimal exposure level. According to the method, the fluorescence imaging automatic exposure method is specifically constructed, the change of the exposure environment can be responded in real time in the process of near-infrared first-area fluorescence molecular image surgical navigation, and correct fluorescence imaging exposure is carried out.

The present invention discloses a 3D scanning system for the medical field, which belongs to the field of 3D scanning technology and aims to solve the problems of dynamic changes, low data acquisition efficiency and high complexity of post-processing encountered in the 3D scanning process. The system comprises the following steps: projecting a light pattern onto a target object through a projector of a 3D scanner, capturing the reflection intensity with a camera and automatically adjusting the brightness and contrast of the projector; capturing a reflected image of the light pattern and obtaining an acquisition distance, and automatically adjusting the camera shutter speed to optimize data capture after ensuring that scanning rules are met; pre-processing the reflected data, filtering invalid data, converting it into a point cloud and performing posture transformation, perspective merging, density balancing and outlier removal; generating a 3D model based on the processed point cloud data, and completing target recognition and annotation through grid optimization; storing and managing the reflected data and processing results to achieve efficient and accurate 3D scanning and modeling.

The invention discloses a camera adaptive exposure processing system and method based on deep learning, and belongs to the technical field of artificial intelligence. In the system, a data preprocessing module preprocesses the intensity of a light source, the distance from a camera to a shot object, input data of special effect setting and the running speed of a carrier so as to convert the data into data matched with an input layer of a camera self-adaptive exposure model; the camera adaptive exposure model generates a first control value for controlling the aperture size, a second control value for controlling the shutter speed and a third control value for controlling the sensitivity of the camera control mechanism according to the data provided by the data preprocessing module, and the camera adaptive exposure model is trained by a neural network. The control values for controlling the aperture size, the shutter speed and the sensitivity can be automatically generated according to the light source intensity, the distance from the camera to the shot object, the input data of special effect setting and the carrier speed of the camera, so that a picture meeting the requirement is obtained.

1. The name of this design product: Industrial enhanced camera. 2. Purpose of this product design: It can achieve high-resolution, wide dynamic range image capture in low-light environments, and can be customized according to parameters such as working frame rate, response wavelength, and shutter speed based on different application scenarios. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1.

This document describes systems and techniques for object-based high-dynamic-range image capturing. In aspects, an image-capturing device can adjust an electronic shutter speed for one or more units of pixels of an image sensor based on luminous level statistical information of detected objects in a captured frame. In this way, the one or more units of pixels configured with modified electronic shutter speeds can capture incident light of a scene in a successive frame with adapted exposure for each object.

The present disclosure relates to an imaging control method, an imaging control device, and a program that make it possible to prevent imaging failures. An imaging control method according to the present disclosure includes: acquiring the movement speed of a moving body; acquiring the separation between a subject in a captured image to be captured by a camera mounted on the moving body, and the moving body; and calculating the shutter speed of the camera on the basis of the movement speed and the separation. The present disclosure can be applied to integrated circuits such as SoCs that control imaging in drones.

The article to which the design pertains in this design application (hereinafter referred to as the "Application") is an information display image (hereinafter referred to as the "Application Image") of a digital camera or other imaging device. The Application Image is displayed on a display mounted on the imaging device. Users of the imaging device can easily perform "panning" using the Application Image. "Panning" refers to a photography method in which a subject (moving object) is followed while taking a photograph at a shutter speed slower than normal, resulting in an image in which the subject is stationary while the background is blurred (an image in which the background is blurred and the subject is not blurred).

The invention provides a method, a device, a medium, a product and a system for realizing panoramic image stitching. The method comprises the following steps: respectively receiving images of connected cameras through a heterogeneous platform; determining a global target brightness value and adjusting the aperture, the light sensitivity and the shutter speed of each camera according to the global target brightness value; determining a global white balance parameter value and adjusting an RGB channel corresponding to the image shot by each camera according to the global white balance parameter value; determining a global noise reduction parameter value and carrying out noise reduction processing on the image shot by each camera according to the global noise reduction parameter value; and splicing the processed images into a panoramic image. By means of the technical scheme, the problem existing in panoramic image splicing in the prior art is solved through fusion of heterogeneous ISP platforms, and a low-cost solution is provided especially for the scenes that an existing ISP platform cannot meet the requirement for the number of camera paths and the research and development cost of replacing the whole ISP platform is too high.

An electronic device may obtain first images from a first camera. The electronic device may obtain, through the communication circuitry, second images from a second camera of which a shutter speed is slower than a shutter speed of the first camera. The electronic device may identify a first image and a second image obtained at corresponding times from the first images and the second images. The electronic device may set a first region of interest (ROI) of an object with a specified type in the first image. The electronic device may set a second ROI at the same position as the first ROI in the second image. The electronic device may generate the first image with the first ROI set and the second image with the second ROI set as training data.

The present application relates to a kind of embedded PID adaptive light source control method and system based on 4K camera system AE value, the embedded PID adaptive light source control method based on 4K camera system AE value includes: receiving the current AE value and current shutter speed that 4K camera system exports in current exposure state;AE error is calculated according to current AE value, shutter speed compensation value is calculated according to current shutter speed;According to the AE error and shutter speed compensation value, calculate synthesis error;PID operation is carried out to synthesis error and anti-saturation processing is carried out when integral term is updated, and the control quantity after anti-saturation processing is obtained;According to the control quantity after anti-saturation processing, send light source brightness control signal.