62results about How to "Reduce the impact of light" patented technology

The invention includes the hardware devices composed of the pick-up head, the image interface and the processor, the time periodic image collection, the recognizing the direction of the person's eye gazing at as well as the non-contact intelligent control technique. In the said non-contact intelligent control technique, the direction of the person's eye gazing at is used as the control command or the auxiliary information. The invention can be applicable to home appliances, game machines, curing and nursing instruments or as the non-contact control devices for handicapped people etc. The gazing method can turn on or off some simple appliances such as air conditioners, 'waken' the robot or computer in the standby state. The gazing method also can indicate the user's intended control command.

The invention discloses an automatic guidance system based on radio frequency identification labels and vision, and the method of the automatic guidance system. The invention is characterized in adopting a four-wheel structure, wherein two front wheels are used for steering and two rear wheels are used for driving; a direct current motor is used as the travelling and driving device, which is driven to steer by a stepping motor; the invention is provided with a wheel steering angle positioning device, so the invention has relatively high dynamic response ability; a black and white parallel guide belt is adopted as a guide path, with the radio frequency identification labels discontinuously laid below, and red work station characters arranged at both sides; CCD collects road surface information, and the brightness of light source adaptive controls according to image gray information; characters are extracted by utilizing color differences; straight lines are rapidly HOUGH transformed and identified; a control signal is sent to AGV controller after processed by an industrial control computer, and the direct current motor and the stepping motor are controlled. In order to effectively realize the communication dispatch between AGVS in real time, radio frequency identification labels are adopted for positioning, and a wireless transceiver module is adopted for communication between AGVS and a host. The invention has the advantages of good environmental adaptability and navigation precision, and lower cost.

The invention discloses a robot intelligent obstacle avoidance system and method based on stereoscopic vision. The system comprises a binocular camera, an industrial personal computer and an actuator.The industrial personal computer is connected with the binocular camera and the actuator respectively. The method comprises the steps that the binocular camera acquires video image information in theworking area of a robot, and sends the video image information to the industrial personal computer; the industrial personal computer receives video image information sent by the binocular camera, andcalculates the depth of each pixel according to the video image information and the internal and external parameters of the binocular camera to generate a depth image in the working area; the industrial personal computer further identifies an obstacle in the depth image according to deep learning, carries out three-dimensional reconstruction on the obstacle according to the depth image, calculates the three-dimensional coordinates of the obstacle, compares the three-dimensional coordinates with the motion path of the robot and detects whether the robot collides with the obstacle, adjusts themotion paths of the robot, generates corresponding motion path information, and transmits the motion path information to the actuator; and the actuator receives the motion path information given out by the industrial personal computer, and adjusts the motion path of the robot.

The invention belongs to the fields of fruit tree cultivation and fruit tree ecology, and discloses a shaping method for a downward-arrowhead-shaped tree shape of a pear tree. The tree shape has a tree height of 2.4-2.5 m, and a trunk height of 0.6-0.7 m, and only two main branches and one centre trunk of a first layer are reserved, therefore, the tree shape is called as the downward-arrowhead-shaped tree shape. The downward-arrowhead-shaped tree shape is small in top and large in bottom, the influence of upper branches on lower branches is less, and ventilation and light transmission conditions are good. The downward-arrowhead-shaped tree shape of a pear tree is an innovation based on the '3-plus-1' tree shape disclosed previously, which is simple in structure, convenient in culture, easy to grasp by fruit growers, convenient in field management, and easy to spread and popularize; and the tree shape is a novel high-quality and labour-saving cultivation tree shape of a pear tree.

The invention discloses an image preprocessing method for processing nonuniform illumination of a miner face image and a coal surface. According to the image preprocessing method, by using a homomorphic filtering principle algorithm, illumination components are weakened and reflection components are enhanced, and meanwhile excessive inhibition to low frequency components is avoided. A homomorphic filtering function of the preprocessing method is used for separately processing the low frequency components and the high frequency components, and processing the low frequency components at different levels by segments, the inhibiting radius of the low frequency components is determined to be five pixel numbers according to the image filtering effect when the limiting frequency radius of the traditional low pass filter is five. The image preprocessing method has strong pertinence and remarkable effects to the processing of strong illumination influence in the miner face image and the coal surface.

The invention discloses an array substrate, a manufacturing method thereof and a display device, which relate to the technical field of display and aim at improving the use stability of the array substrate. The array substrate comprises a substrate and a thin-film transistor arranged on the substrate, wherein a light shielding layer is arranged between the thin-film transistor and the substrate; the light shielding layer comprises a light shielding metal layer and a light reflection adjustment layer formed on the substrate in a stacked mode; the light reflection adjustment layer covers the light shielding metal layer; and the reflectivity of the light reflection adjustment layer is lower than that of the light shielding metal layer. According to the array substrate, the manufacturing method thereof and the display device provided by the invention, the array substrate adopts the thin-film transistor in a top gate structure.

The invention discloses a brightness-adjustable car intelligent headlamp system based on the environment, and a method. The current environment of a car is preliminarily judged according to the car speed and light intensity, and the illumination brightness of the headlamp is adjusted based on the light intensity in the current environment, and the effects of energy saving and light pollution reduction are taken into account while meeting the lighting requirements. A design of the brightness-adjustable car intelligent headlamp system based on the environment is provided, and the brightness of the car lamp can be adjusted by collecting the environmental information through a sensor and judging by a master controller. The system comprises the sensor, the master controller and an actuator, thelighting brightness of the headlamp can be adjusted according to the driving state and the environmental information of the car, and energy is saved while providing a better road lighting effect fora driver.

The invention discloses a target detection tracking method based on a TLD. The method comprises the following steps of (1) at an initial frame of a video to be tracked, a tracking window assigned by a user forms a positive and negative sample pair detection module to carry out initialization training; (2) during a tracking process, a detection module and a tracking module work independently; the detection module calculates a LBP statistics characteristic vector of an image block accepted by a variance classifier and a merging classifier, carries out NCC nearest neighbor matching with a sample set and outputs a target position; and the tracking module uses a median optical flow method to predict a target position of a current frame through previous frame tracking; (3) an integration module integrates the detection module and the tracking module so as to carry out tracking result output, and for the currently-updated target position, a new positive and negative sample is generated so as to update the detection module; and (4) the step (2) and the step (3) are circulated till that tracking is ended. A comparison experiment performed on a public data set shows that by using the method, robustness and precision of the tracking can be increased to some extent.

The invention discloses an image classification algorithm and a system based on manifold learning. The method includes S1, selecting a training sample set and a testing sample set; S2, extracting feature points of image of two sample sets by using a sift algorithm; S3, respectively reducing the dimension of the feature points in the two sample sets by using the local linear embedding or Labras feature mapping in the manifold learning method; S4, inputting that reduced dimension feature point of the training sample set into a support vector machine classifier for training; S5, classifying the test sample set by using the trained support vector machine classifier. The invention combines the SIFT feature extraction algorithm with the non-linear manifold learning dimension reduction algorithm,extracts the middle-level feature of the image, and then classifies and processes the image by using the SVM classifier, thereby effectively improving the computing speed and the classification accuracy.

The invention discloses a tire pattern similarity detection method. According to the method, a tire pattern image is extracted based on template matching, and the pattern similarity is calculated by combining an improved LBP algorithm and a Hash algorithm. The algorithm comprises the following steps: extracting an overall tire image; carrying out tire pattern image extraction through optimized template matching; obtaining an LBP code with rotation invariance; extracting image fingerprint information, and calculating image similarity; segmenting the pattern image with a relatively high detection result, calculating local similarity, and screening out a part with high similarity. The method is high in adaptability, does not need to specify a tire image background, can accurately extract thetire pattern image, and solves the problems of variable tire pattern rotation angles, inconsistent illumination and the like.

The invention discloses a device and a method for collecting visible and near infrared spectrum of fruits in the field. A housing of the device is provide with a shutter and an integrating sphere, and the shutter is connected to a light source and is mounted above an entering hole of the integrating sphere, and the entering hole is located on an output probe, and the periphery of the output probe is mounted with an annular rubber gasket. A through hole below the integrating sphere is installed by a collimating lens, and the light of the collimating lens is transferred to a detector of a spectrum analyzer through an output optical to measure scene spectrum of the fruit in the field under the combined action of the spectrum analyzer light source and the scene ambient light and to measure field background spectrum of the fruit in the field only under the action of the scene ambient light. The scene spectrum and the field background spectrum are corrected to obtain visible and near infrared spectrum information which can really reflect the fruit quality. The device can effectively reduce the influence of field environment light, and is conducive to the application of visible and near infrared spectroscopy technology from the interior to the field, and can give full play to the visible and near infrared spectroscopy technology in the fruits of the field management and harvest maturity test.

The invention belongs to the technical field of chemical fiber industry, and particularly relates to a chemical fiber fluttering quality detection method and system based on a convolutional neural network. The system comprises an image acquisition and transmission module, a part detection positioning module, a parameter feedback module, a part recognition and judgment module, and a comprehensive judgment module. A CNN deep learning scheme is used for detecting the fiber fluttering abnormity, and a fiber fluttering abnormity detection technology of key part abnormity detection is provided. A dynamic feedback mechanism and a comprehensive evaluation mechanism are adopted; the mode of robot patrol camera snapshot and background analysis is used for replacing manual detection of abnormal conditions such as fiber fluttering and the like.

The invention provides a static gesture recognizing method and system for AR auxiliary maintenance. The method specifically comprises the following steps of: acquiring a video image and performing frame separation to obtain a test sample; separating a gesture from a background of an image in the test sample by using a skin color range method; creating a static gesture feature input vector corresponding to the image in the test sample and normalizing the vector; inputting the normalized the vector into a support vector machine and enabling a classifier in the support vector machine to recognize the gesture for acquiring an optimal classification solution of the static gesture. The method forms the eight-dimension composite characteristic input vector of the static gesture by the seven-order invariant moment of Hu and image normalization moment of inertia (NMI) so as to achieve better robustness for image translation, rotation, and zooming, fully takes account of the influence of illumination, background, and gesture orientation, increases the accuracy of training samples in the support vector machine, and increases recognition precision.

The invention discloses a levofloxacin lactate dispersible tablet. The dispersible tablet comprises, by weight, 100 parts of levofloxacin lactate, 40-45 parts of microcrystalline cellulose, 20-27 parts of sodium carboxymethyl starch, 38-42 parts of starch, 1-2 parts of micro-powder silica gel, 2-3 parts of magnesium stearate and 10-20 parts of ethanol water with the mass fraction of 60-70%, wherein the starch is hydroxypropyl starch; the micro-powder silica gel is silica gel modified by trimethyl chlorosilane. Part of auxiliary materials are optimized so that the usage quantity of the auxiliary materials can be greatly reduced, related substances, content, dissolution rate, dispersion uniformity and stability of the product are also improved, and therefore the aims of reducing the production cost and improving the product quality are achieved at the same time.

The invention provides a display device for simulation interaction based on an augmented reality technology, and relates to the technical field of virtual devices. Comprising a movable main body, a content generation module, a control terminal, an LED display screen arranged on the inner wall of the main body, a voice recognition module, a sound module, a camera used for capturing position information of a user and a somatosensory tracker used for dynamic capturing. The LED display screen is connected with the control terminal through the content generation module; the sound module, the voice recognition module, the camera and the somatosensory tracker are electrically connected with the control terminal. According to the technical scheme, a user can obtain corresponding content in a naked eye 3D interaction mode, the display limitation of physical space is broken through, and the equipment is portable, movable and reusable, so that the operation cost is low.

The invention relates to the technical field of pipeline detection, in particular to a pipeline foreign matter detection device and a detection method. The pipeline foreign matter detection device comprises a detection vehicle, a control part positioned in the detection vehicle, a mechanical arm and an image capture piece; one end of the mechanical arm is connected with the detection vehicle; and the image capture piece is connected with the other end of the mechanical arm. According to the pipeline foreign matter detection device and the detection method, metal foreign matters in a pipeline can be effectively and quickly detected, the influence of poor environment during pipeline detection and the inevitable problems of negligence, dangerousness, non-traceability and the like of manual detection are reduced, and convenience is provided for workers.

The invention provides a page content reading method and device based on image features. The method comprises the following steps: detecting whether the current page of the book is an updated page ornot; when the current page of the book is an updated page, triggering a device camera shooting end to shoot the current page of the book in a global shooting mode; otherwise, triggering a camera end of the equipment to shoot the current page of the book in a local shooting mode; obtaining page feature points corresponding to the current page of the book, searching page contents matched with the page feature points from a preset database; carrying out reading operation on the page content. Under the condition that the shooting frame rate of the shooting end is not changed, the pixel informationamount and the processing time needing to be processed when the device obtains the page feature points corresponding to the current page of the book according to the image frames are reduced; while the response speed of the equipment is increased, the power consumption of the equipment in the aspects of calculation and camera shooting is reduced, and the equipment requirement and the equipment burden are reduced.

The invention discloses a high-altitude throwing detection method and device based on mixed vision, an event camera and a conventional camera are carried and registered at the same time to monitor a monitored building in real time, the event camera detects a moving target based on a generated event sequence, the position of the moving target is obtained, and the position of the moving target is detected; performing tracking correction on the position of the moving target by adopting a Kalman filtering algorithm, associating the detected moving target with a known moving target, establishing a tracking list of the moving target, judging whether the moving target is a high-altitude parabolic object, if so, reporting the position and time of the moving target, and according to the reported time of the moving target, determining whether the moving target is a high-altitude parabolic object. And intercepting and storing video images shot by the conventional camera. According to the invention, mixed vision of the event camera and the conventional camera is combined, the influence of illumination is small, and the false alarm rate is low and the positioning performance is high when a parabolic object is similar to a background in color, small in size, too fast in movement or at night.

The invention belongs to the field of decoration materials and in particular relates to environmental-friendly diatom ooze and a preparation method thereof. The diatom ooze consists of the following raw materials in parts by weight: 60-80 parts of modified refined kieselguhr, 10-20 parts of titanium dioxide gel, 6-8 parts of clay, 8-10 parts of attapulgite, 10-12 parts of kaolin and 20-30 parts ofwater. The preparation method of the environmental-friendly diatom ooze comprises the following steps: (1) loading nano titanium dioxide by gaps and surfaces of the modified refined kieselguhr; (2) uniformly mixing the modified refined kieselguhr, the clay, the attapulgite, the kaolin and the water; (3) loading the cerium oxide and the indium oxide by the gaps and the surfaces of the mixture. Theenvironmental-friendly diatom ooze provided by the invention has high light reflection efficiency because of micro pores inside, the lighting intensity in the micro pores is improved, the optical energy utilization rate of the nano titanium dioxide can be increased, a good catalysis effect can be achieved, a rapid formaldehyde decomposition speed is achieved, and the formaldehyde decomposition effect is slightly affected by lighting.

The invention discloses a monocular camera object identification and positioning method based on a vector illumination influence removal algorithm, and the method comprises the steps of S1, collecting an image map through a robot, and carrying out illumination removal processing on the image map; S2, filtering the image map after illumination removal processing, and obtaining a filtered image; S3, performing color space conversion on the image, and obtaining a binary image according to the color threshold value of the target object; S4, eliminating interferents outside target area, determining a target object, and obtaining the image coordinates of the target object; S5, judging whether the target object exists in the target area or not according to the image coordinates of the target object, and if not, returning to null and ending the identification and positioning; if yes, returning to the center coordinate of the target object, then adjusting the head angle and the body posture of a robot to enable the center coordinate of the target object to coincide with the center position of the image, then solving the distance from the target object to the robot according to a calculation model, and obtaining the recognition result of the target object.