8results about How to "Consistent clarity" patented technology

The invention relates to the technical field of agricultural intelligent detection, in particular to a fruit tree disease and pest detection method based on machine vision, which comprises the following steps: acquiring visible light, infrared light and ultraviolet light images of a fruit tree at multiple angles through a multispectral camera to obtain complete fruit tree surface information, and preprocessing the acquired images to obtain a fruit tree disease and pest detection result; comprising the steps of denoising, illumination correction and image alignment, extracting feature vectors, including the color, shape and size of scabs, pest distribution and other features, of pest and disease damage from preprocessed images through a convolutional neural network, fusing the pest and disease damage features with environmental data by using a multi-modal data fusion algorithm, and enhancing the accuracy of pest and disease damage classification. Classifying and identifying diseases and pests based on a support vector machine classification algorithm; according to the dynamically adjusted threshold value and suggestions provided by the expert system, a disease and pest diagnosis report is generated, and prevention and control measure suggestions are provided; according to the invention, efficient and accurate detection and management of fruit tree diseases and insect pests can be realized, and the intelligent level of agricultural management is improved.

The invention belongs to the technical field of analysis and detection of steel and iron materials, and particularly relates to a method for continuously detecting non-metallic inclusions in steel samples with different heights by utilizing OTS. Comprising the following steps: sequentially preparing a compensating plate, screening a deviation sample group, performing height compensation on a metallographic sample in the deviation sample group by using the compensating plate, and performing sample detection on the compensated deviation sample group. According to the invention, the metallographic sample with large height deviation can be continuously detected, on one hand, continuous work of the electron microscope can be realized without guarding and manpower is saved, on the other hand, an emitter of the electron microscope can be saved, continuous work of the emitter after detection of one sample is avoided, the cost is saved, and the detection efficiency is improved. Therefore, the working efficiency of detecting the non-metallic inclusions by using the OTS full-automatic analysis system for the non-metallic inclusions in the steel is improved.

The invention discloses a circuit board detection method and system based on computer vision, and relates to the technical field of circuit board detection, and the method comprises the following steps: obtaining the temperature field distribution data of the surface of a circuit board based on the structural deformation of the circuit board caused by non-uniform heating after high-temperature operation, establishing a temperature-associated morphological mapping model according to the temperature field distribution data, and generating a circuit board deformation reference band updated along with time through the morphological mapping model; and constructing a dynamic focal plane tracking chain in an image acquisition process by using the deformation reference band, converting height change information of a corresponding region in the deformation reference band into a focal length displacement control instruction, and driving focal length adjustment of the camera device in real time. Through dynamic focal plane tracking and illumination response control, the focal length is matched with circuit board deformation in real time, the illumination difference is compensated, dynamic balance of image definition and brightness is achieved, and therefore the consistency of circuit board detection images and the accuracy of defect recognition are improved.

The invention relates to the technical field of scanning devices, in particular to a quick response X-ray scanning device based on a micro-electro-mechanical chip, which comprises a detection table, a photoelectric sensor is arranged in the detection table, a plurality of positioning blocks are arranged on the detection table, and a table top of the detection table is used for bearing an object to be imaged; the X-ray source is arranged above the detection table and can emit X-rays to the direction of the detection table, and the X-ray source is connected with a movable support capable of driving the X-ray source to move; the detector is connected with the detection table and can receive the X-rays penetrating through the object to be imaged and convert the X-rays into digital signals; the detection table fixes the position of an object to be imaged through the positioning block, the image acquisition module acquires an image of the detection table, and the control module adjusts the position of the X-ray source according to the position of the object to be imaged on the image so as to completely scan the object to be imaged. By accurately positioning the position of the object to be imaged and standardizing the image of the object to be imaged, the accuracy and reliability of the whole scanning process are improved, and the scanning efficiency and the imaging quality are improved.

The utility model discloses a zoom projection lens which comprises a first lens assembly, a second lens assembly, a third lens assembly, a diaphragm, a fourth lens assembly and a fifth lens assembly which are sequentially arranged along a direction from an object space to an image space. A full-group linkage zoom design is adopted, and the first lens assembly is set as a zoom group for changing the focal length of the projection lens; the second lens assembly, the third lens assembly, the fourth lens assembly and the fifth lens assembly are arranged to be a compensation group used for offsetting the image surface position change caused by the movement of the zoom group. When zooming is carried out from the telephoto end to the wide-angle end, the distance between the second lens assembly and the third lens assembly is gradually increased. According to the utility model, the space occupied by the lens is reduced, so that the lens can adapt to the working condition of a compact installation space, the lens can maintain excellent imaging performance at different focal lengths within the working temperature range of a special application scene, and the flexible adaptability of the zoom projection lens is improved. The utility model also provides a projection system.

The invention provides a focusable optical 3D endoscope camera system, comprising a hard endoscope having a left optical path imaging system and a right optical path imaging system for respectively receiving mixed light reflected from an object to be measured; the binocular focusing adapter is used for receiving and adjusting the light path of the two paths of mixed light; the camera device is used for receiving the optical image signal processed by the binocular focusing adapter and converting the optical image signal into an electric signal; the host is used for receiving the electric signal transmitted by the camera device, processing the electric signal through an image processing module to generate a single-path 2D color image and a fluorescence image, and further fusing the 2D color image and the fluorescence image into a fused image; the 3D display is used for receiving and displaying the fused image output by the host; the binocular focusing adapter is provided with a cam structure, and the definition of images at different distances can be adjusted in real time by rotating the cam structure. According to the invention, the external focusing function of the optical 3D can be realized, so that a terminal user can conveniently adjust the definition of the optical 3D in the use process.

The application provides a partitioned DLP micromirror control method and system based on pixel content recognition, and relates to the technical field of DLP display. The method first receives and pre-processes an external video stream signal, extracts brightness data, and completes frame buffer updating and alignment; then determines the brightness threshold of the invalid area dynamically through an adaptive threshold brightness recognition algorithm, and marks the candidate invalid pixels; subsequently screens out static invalid pixels by using an adjacent frame difference static judgment algorithm; divides the static invalid area and demarcates the boundary coordinates through a region connectivity analysis algorithm; finally, matches the driving sub-circuit module number based on the boundary coordinates, constructs a partition control instruction, and issues it after verification and packaging. The application realizes the differential driving of the DLP micromirror partition, can completely eliminate the driving power consumption of the invalid area, improves the power consumption optimization effect, does not lose the display quality, responds in real time, has strong compatibility, and is suitable for compact DLP devices such as vehicle machines.

The present application relates to a method and program product for generating a terrain route based on a three-dimensional real scene. The method comprises: obtaining real scene model data, generating a safety fence based on the real scene model data and a safety distance, wherein the safety fence is used to cover obstacles in the real scene model so that the drone does not collide with the obstacles; obtaining the number and direction based on preset parameters, obtaining the vertical plane corresponding to the safety fence based on the number and direction, wherein the preset parameters are used to configure the drone, and the vertical plane intersects with the safety fence; obtaining the flight segment based on the intersection line of the vertical plane and the safety fence, and obtaining a terrain route based on the flight segment. The use of this method can improve the consistency between the drone's route and the terrain, and improve the clarity of the image of the real scene taken by the drone.