146 results about "Imagery analysis" patented technology

A system and method assists the driver of a motor vehicle in preventing accidents or minimizing the effects of same. In one form, a television camera or other ranging device is mounted on a vehicle and scans the roadway ahead of the vehicle as the vehicle travels. Continuously generated video picture signals output by the camera are electronically processed and analyzed by a fuzzy-logic-based image analyzing computer mounted in the controlled vehicle, which generates control signals and applies them to control the operation of the accelerator, brake, and steering system of the vehicle in a coordinated way to attempt to avoid or lessen the effects of a collision. In a particular form, the decision computer may select the evasive action taken from a number of choices, depending on whether and where the detection device senses other vehicles and obstacles. Warning signals may also be generated.

When 3D viewing means become much more available and common, it will be very sad that the many great movies that exist today will be able to be viewed in 3D only through limited and partial software attempts to recreate the 3D info. Films today are not filmed in 3D due to various problems, and mainly since a normal stereo camera could be very problematic when filming modern films, since for example it does not behave properly when zooming in or out is used, and it can cause many problems when filming for example smaller scale models for some special effects. For example, a larger zoom requires a correspondingly larger distance between the lenses, so that for example if a car is photographed at a zoom factor of 1:10, the correct right-left disparity will be achieved only if the lenses move to an inter-ocular distance of for example 65 cm instead of the normal 6.5 cm. The present invention tries to solve the above problems by using a 3D camera which can automatically adjust in a way that solves the zoom problem, and provides a solution also for filming smaller models. The angle between the two lenses is preferably changed according to the distance and position of the object that is at the center of focus, and changing the zoom affects automatically both the distance between the lenses and their angle, since changing merely the distance without changing the convergence angle would cause the two cameras to see completely different parts of the image. The patent also shows that similar methods can be used for example for a much better stereoscopic telescope with or without a varying zoom factor. In addition, the patent shows various ways to generate efficiently a 3D knowledge of the surrounding space, which can be used also for example in robots for various purposes, and also describes a few possible improvements in 3d viewing.

The invention relates to a fault identification system for a direct current transmission line. The fault identification system comprises an image data analysis subsystem, a blood oxygen detection subsystem, a blood sugar detection subsystem and an MSP430 microprocessor, wherein the image data analysis subsystem is used for analyzing the age group information of the detected personnel based on the images of the detected personnel, and the MSP430 microprocessor is respectively connected with the image data analysis subsystem, the blood oxygen detection subsystem and the blood sugar detection subsystem. Based on the age group information of the detected personnel, medical data thresholds including preset blood sugar upper limit concentration, preset blood sugar lower limit concentration, preset blood oxygen saturation upper limit concentration and preset blood oxygen saturation lower limit concentration are set for the blood oxygen detection subsystem and the blood sugar detection subsystem. According to the invention, more accurate physiological parameter warning messages can be sent based on the age group information of the detected personnel.

The present invention provides a system and a method for analyzing activity of people in a of people in a space. Continuous raw video imagery is received from one or more sensors placed in a pre-defined regions of the space. This imagery is analyzed to determine basic characteristics of the behavior and / or activity of people hi its field-of-view, such as position, movement, etc. Useful data and metrics can he computed, based on the results of imagery analysis. The data analysis results can be provided as a response to user's request or as a running report. Data analysis can optionally combine imagery analysis results with secondary information.

The invention relates to a method for implementing realistic game, which comprises the following steps of: (1) establishing a human body skeleton model; (2) establishing a game movement library under an offline state, establishing movement libraries respectively according to game items, and performing multi-frame movement decomposition on a single semantic movement;(3) calibrating a binocular camera to acquire parameters of the binocular camera and polar calibration; (5) background modeling; (6) selecting an interactive characteristic label; (7) foreground partitioning; (8) initializing the information of the characteristic label; (9) detecting human face and skin color; (10) multi-target tracking; (11) completing sparse stereo matching; (12) acquiring a 3D skeleton; and (13) matching with the movements in the offline movement libraries to realize movement recognition, combining single-frame image analytic matching with multi-frame image analytic matching to obtain the semantic movement, transferring the semantic movement to a game executing unit to implement the function of realistic game. Being stronger in interactivity and reality as well as simpler and more convenient in operation, the method of the invention is a game implementation method with low cost and is more suitable for being extensively accepted by general people.

The invention features a system wherein a recognition environment utilizes comparative advantages of automated feature signature analysis and human perception to form a synergistic data and information processing system for scene structure modeling and testing, object extraction, object linking, and event / activity detection using multi-source sensor data and imagery in both static and time-varying formats. The scene structure and modeling and testing utilizes quantifiable and implementable human language key words. The invention implements real-time terrain categorization and situational awareness plus a dynamic ground control point selection and evaluation system in a Virtual Transverse Mercator (VTM) geogridded Equi-Distance system (ES) environment. The system can be applied to video imagery to define and detect objects / features, events and activity. By adapting the video imagery analysis technology to multi-source data, the invention performs multi-source data fusion without registering them using geospatial ground control points.

The drone comprises: a vertical-view camera (132) pointing downward to pick up images of a scene of the ground overflown by the drone; gyrometer, magnetometer and accelerometer sensors (176); and an altimeter (174). Navigation means determine position coordinates (X, Y, Z) of the drone in an absolute coordinate system linked to the ground. These means are autonomous, operating without reception of external signals. They include image analysis means, adapted to derive a position signal from an analysis of known predetermined patterns (210), present in the scene picked up by the camera, and they implement a predictive-filter estimator (172) incorporating a representation of a dynamic model of the drone, with as an input the position signal, a horizontal speed signal, linear and rotational acceleration signals, and an altitude signal.

Urine analysis system that couples or integrates with a toilet. Wirelessly links to a computer, such as a user's mobile device to accept control inputs and report urine test results. Accepts user input to initiate testing and deploys a urine collector into the toilet bowl above the water to collect a urine sample. The collected urine sample is dispensed onto multiple regions of a test matrix that may perform many urine tests simultaneously. A single test matrix may include multiple types of tests, such as immunochromatography and colorimetric assays. An optical imaging system detects reaction of the urine with reagents integrated into the test matrix. Analysis of images may be performed locally or on a remote server. The system may store an inventory of test matrices to support daily testing for long durations, for example 6 months or more before refilling.

The measuring device according to the present invention has a support on which cells to be observed are arranged, an imaging lens that forms an image of reflected light reflected from the cells at an image capturing position as a result of being irradiated with excitation light, and a photoelectric conversion sensor arranged at the image capturing position that converts the formed images of reflected light into images of the cells. The images of the cells captured according to first optical image capturing conditions are analyzed, second optical image forming conditions are determined corresponding to the results of that analysis, and subsequent images of the cells are captured when a predetermined amount of time has elapsed according to the second optical image capturing conditions.

The invention relates to a privacy protection device for interfering in a UAV. The protection device comprises an optical trapping device, an image analyzing device, a tracking and locking device and an interference emitting device. The privacy protection device interferes in work of an aerial photo unit of the UAV to protect privacy within certain range, the privacy can be protected in high efficiency and low cost, the privacy protection devices uses an optical passive manner for tracking and needs not to emit electric signals so that normal work of other electronic equipment is not influenced, after interference, an image obtaining device can still obtain normal images, and a balance is made between public security and personal privacy protection caused by aerial photo of the UAV.

The invention discloses a fuzzy clustering analysis method for detecting SAR image changes based on non-local means. The method is implemented through the processes of inputting a difference chart composed of two SAR images in a same region at different times; correcting pixels of the difference chart according to similarity measure indexes in a fast global fuzzy C-Means clustering (FGFCM) algorithm to obtain a local spatial information pixel matrix; performing non-local mean processing on the difference chart to generate a pixel matrix of non-local filtering waves; weighting and summing up the two matrixes and generating a complete pixel matrix; clustering the complete pixel matrix through the FGFCM algorithm to generate a change detection binary result image and complete the change detection of the two SAR images integrally. According to the fuzzy clustering analysis method for detecting SAR image changes based on non-local means, local spatial information and non-local mean information of images are considered simultaneously and combined organically, so that noise influences are overcome effectively and image details are kept in an image analysis clustering process, and accurate difference chart analysis results are obtained.

A system and method are provided that capture an image of an asset and analyze the captured image to identify an indicia on the asset. The indicia is used, after identification, to identify the asset. The system may also be configured to identify a type of asset, to track the asset, to verify a manifest for a group of assets, or to identify damage to an asset based on comparing the captured image of the asset with a previously captured image of the asset.

An image monitor system monitors characteristics of an ion beam employed in ion implantation. The monitored characteristics can include particle count, particle information, beam current intensity, beam shape, and the like. The system includes one or more image sensors that capture frames or images along a beam path of an ion beam. An image analyzer analyzes the captured frames to obtain measured characteristics. A controller determines adjustments or corrections according to the measured characteristics and desired beam characteristics.

A monitoring device is provided with a person image analyzer which has a person detector which detects a person from captured moving images and acquires positional information which relates to a person area, and an area state determinator which determines an area state which indicates the state of people in the person area based on the positional information, a mask image setter which sets the mask image which corresponds to the area state, and a moving image output controller which generates and outputs output moving images where the person area is changed to the mask image which corresponds to the area state based on the positional information and the area state which are output from the person image analyzer.

The invention discloses a dynamic motor truck scale and a method for testing truck weight, specially fitted for testing the truck weight under the dynamic condition. The inaccurate testing exists in the prior art. The dynamic motor truck scale of the invention comprises a grating sensor, a wheel axle identifier and an image collector which are arranged by matching with a weighting platform, wherein a transmitter and a receiver of the grating sensor are respectively arranged on two sides of a weighting channel in front of the weighting platform; the wheel axle identifier is arranged on the weighting channel in front of the weighting platform; the grating sensor, the wheel axle identifier and the image collector are all connected with a data collecting device. The data collecting device sums the weight data of each sensed wheel axle, analyzes and calculates the running speed and the acceleration of the truck according to the collected images, and verifies the weighting data so as to acquire the gross truck weight. The testing is accurate, the testing error which occurs due to the speed change in the testing points is prevented and the cheating phenomenon is avoided.

Methods of orthopedic fixation and imagery analysis are provided. Images of first and second bone segments attached to a fixation apparatus are captured. Fixator elements identified in the images can be used to obtain imaging scene parameters. Bone elements identified in the images can be used with the imaging scene parameters to reconstruct a three dimensional representation of positions and / or orientations of the first and second bone segments with respect to the fixation apparatus.

An entertainment device for generating augmented reality environments comprises an input for a captured video signal, an image analyser to detect a predetermined marker object location within the captured video signal, a graphics generator to generate a graphics object for integration with the video signal at a selected position to generate an augmented reality image, a controller to positionally couple the graphics object to the detected marker object location within the captured video signal, and a detection failure logic to signal when the image analyser cannot adequately detect the marker object's location within the captured signal. If the logic signals the image analyser cannot detect the location of the marker object within the captured video signal, then the controller positionally decouples the graphics object from the last detected location of the marker object within the video signal, and instructs the graphics generator to modify a characteristic of the graphics object.

The invention relates to a method for enabling an infrared photography device to adapt to light, which comprises the following steps: firstly, presetting a shading object whose shading quantity can be adjusted on the surface of an image sensor of the infrared photography device, when the light intensity of the infrared photography device in a shooting scene, which is obtained from the measure of a photoreceptor or analyzing a pre-shot image by an analyzing unit, exceeds the preset value, confirming the ratio of the occupied area of a to-be shot object in the to-be formed image according to the focal distance of the infrared photography device, the clear and visual distance range of a corresponding lens, the optimum distance for imaging of the to-be shot object, then adjusting the shielding object according to the ratio and enabling the object to cover the corresponding part of the image sensor, which enables the uncovered part of the image sensor to induct infrared light reflected by the to-be shot object, thereby forming a corresponding clear image, preventing the defect of unclear images due to too strong light, reducing the monitoring risks exist in an existing infrared photography device for monitoring.

The invention discloses liquid crystal screen power-on detection equipment which comprises a controller, a correction platform, a first driving mechanism, a code scanner, a power-on unit, a visual detection device and a manipulator. The correction platform can correctively position a liquid crystal screen positioned thereon, the first driving mechanism is used for driving the correction platform to a fetching position, the code scanner is used for scanning identity code of the liquid crystal screen positioned on the correction platform, the power-on unit can power on the liquid crystal screenpositioned on a bearing platform, the visual detection device is used for photographing the liquid crystal screen powered on the power-on unit, the controller can analyze defects of the liquid crystalscreen according to images photographed by the visual detection device and generate a detection result and can correspondingly store the identity code recognized by the code scanner and the corresponding detection result, the manipulator is used for transferring the liquid crystal screen on the correction platform at the fetching position onto the bearing platform of the power-on unit and can transfer the liquid crystal screen on the bearing platform of the power-on unit to a discharging position. The liquid crystal screen power-on detection equipment can effectively solve the problems of lowliquid crystal screen detection efficiency and difficulty in recording the detection result.

The invention discloses an infrared image-based intelligent substation equipment defect diagnosis method and system, and the method comprises: employing a YOLO deep learning model and a data analysismethod to achieve the automatic recognition and intelligent defect diagnosis of a substation equipment part in the infrared image through the steps of substation equipment part positioning, temperature feature extraction and temperature threshold judgment. On one hand, depending on the target detection performance of the YOLO deep learning network, the accuracy of substation equipment part positioning is ensured; on the basis of accurate positioning of power transformation equipment components, characteristic parameters are extracted, and the infrared image data is converted into a temperaturecharacteristic value capable of being quantitatively analyzed; on the other hand, depending on detection data and through the extracted temperature characteristic values, the distribution characteristics reflecting massive temperature difference data are obtained and analyzed, so that the defect threshold judgment method with higher reliability is obtained, the problems of a diagnosis method of pure image analysis or manual threshold setting are solved, and the reliability and the accuracy of infrared image defect diagnosis of power transformation equipment are improved.

A detection device provided by the present invention at least comprises a controller and an image sensor, the image sensor is electrically connected with the controller and is used to acquire the images of the users, and the controller is used to obtain the actual state data of the users according to the acquired images of the users and determine whether the actual state data of the users is located within a preset standard state range, if not, the users are confirmed to generate the preset abnormity behaviors, wherein the preset abnormity behaviors comprise the attention abnormity behaviors. The present invention also provides a detection method and an illuminating lamp. According to the detection device, the detection method and the illuminating lamp of the present invention, users do not need to wear any device, the image sensor acquires the images of the users real-timely, and the controller analyzes and calculates the images, so that the states of the users are monitored all the time, if the states of the users are determined to be abnormal, the users are reminded timely.

The invention discloses an analytic method for a cloud server diagnosis based on cell images. The previous processing steps comprises: step 1, sampling; step 2, filmmaking; step 3, dyeing; and step 4, scanning. The cloud server further comprises the following modules: module 1, which is a scanning module; a module 2, which is a file uploading module; a module 3, which is an automatic analysis and diagnosis module; module 4, which is a quality control module; module 5, which is a doctor diagnosis re-checking module; module 6, which is a result query module; and module 7, which is a central dispatch module, wherein the central dispatch module can be used for dispatching and managing the work of the modules 1 to 6. According to the analytic method, the cloud server is adopted to collect the data information files uploaded from various regions, automatic analysis is conducted by the cloud server firstly, then judgment is conducted by quality control staff and a doctor, the diagnostic process is simplified, and the diagnostic accuracy is improved; the image analyzing procedure is added, the cell images can be picked out from original sample image information, the cell parameters are calculated, and can be used for reference for the doctor, and the work efficiency of the doctor is improved.

The invention relates to the technical field of medical information, in particular to a medical service system and method. An image processing module can, by acquiring the medical image of a patient, analyze a medical image according to pre-stored disease conditions so as to obtain diagnosis results, a manual treatment module can also diagnose the medical image manually to obtain precise diagnosis results, and the above technical scheme can save time for the patient to see a doctor and facilitates timely treatment for the patient.

The invention discloses a dynamic orientation method and system based on a strapdown polarized light compass. The polarized light compass is installed on a carrier in a strapdown mode; the system comprises a camera, a polarizer and a wide-angle lens; an observation image is shot by the camera in a moving process of the carrier; and the observation image is analyzed to obtain a course angle of thecurrent carrier in a navigation coordinate system. The method specifically comprises the following steps: obtaining polarization information of incident light in the observation image; according to the polarization information of the incident light, obtaining a polarization direction of an E vector of the incident light by combining a pitching angle and a rolling angle of the camera; obtaining anoptimal solar meridian direction according to the polarization direction of the E vector of the incident light; obtaining current time and position information, and according to an astronomical almanac, obtaining a solar azimuth angle; and according to the solar azimuth angle and the optimal solar meridian direction, calculating out the course angle of the carrier in the navigation coordinate system. The course angle of the carrier can be estimated accurately, quickly and robustly under the condition that a horizontal attitude angle of the polarized light compass is changed.

The invention relates to a wearable eye tracker first perspective video image analysis method. The method comprises steps of data preprocessing in which a relation graph between eye focus point coordinates and first perspective video image frames is drawn, video image frames corresponding to hopping points are found out, and video image frames corresponding to hopping points are screened out in original data of the first perspective video image frames and data analysis in which analysis is carried out according to the preprocessed first perspective video image frames. The data analysis step comprises specific steps: S1, camera calibration is carried out, and the first perspective video image is corrected; S2, image segmentation is carried out, and a target area on which the tested in the image focuses is detected and extracted; and S3, object recognition is carried out, and the target area is effectively recognized. The target area on which the tested focuses can be effectively detected and recognized, and the focus point position is automatically marked.

Systems and methods for creating a 3D photorealistic model of a real-life object by applying a combined solution based on the analysis of photographic images combined with use of the data obtained from depth sensors, which are able to read the depth of and, thereby create maps of, the area sensed. Data arrives from two types of devices and is compared and combined. The developed matching algorithm captures the data and automatically creates a photorealistic 3D model of an object without the need for further manual processing. From this, photorealistic quality 3D models are created by building a polygon mesh and creating sets of textures, using the data coming from these two device types. The depth sensors make it possible to perform calculations of the depth maps generated from the real surrounding space of the object sensed.

Embodiments of the present invention provides for one or more processors receive image data of an object selected by a user and determine image attributes of the object selected, based on image analytics on the image data. One or more processors determine whether the image attributes of the object selected match an identified object of a knowledge base, in which an identified object includes image attributes and manipulation data corresponding to the identified object, and responsive to determining that the object selected by the user of the prosthetic device matches an identified object of the knowledge base, one or more processors transmits manipulation data corresponding to the identified object matching the object selected by the user, to a mobile controlling device communicatively connected to the prosthetic device, wherein the mobile controlling device applies the manipulation data corresponding to the identified object to the prosthetic device.

An incubation apparatus, including a temperature-controlled room adjusted to be a predetermined environment condition, and incubating a sample of an incubation container inside the temperature-controlled room, includes a carrying apparatus, an imaging section, and an image analyzing section. The carrying apparatus carries the incubation container in the temperature-controlled room. The imaging section photographs a whole of the incubation container inside the temperature-controlled room. The image analyzing section analyses an operation state of the incubation apparatus or an incubating environment state of the sample based on a total observing image of the incubation container photographed at the imaging section, and outputs an error signal notifying an abnormality of the operation state or the incubating environment state in accordance with the analysis result.