22826results about How to "Improve real-time performance" patented technology

The invention discloses a mobile phone charge calculating device, which is characterized by comprising a wireless network, a service support server (9), a mobile phone, a network synchronization module (1), a monitoring module (2), a pricing module (3) and a storage module (4), wherein the network synchronization module (1) is arranged on the mobile phone and is used for synchronizing a charge billing rule of a user to the mobile phone; the monitoring module (2) is used for recording user conversation details; the pricing module (3) is used for pricing the user conversation details recorded by the monitoring module (2) by using the charge billing rule on the network synchronization module (1); and the storage module (4) is used for storing a bill after pricing in the mobile phone. The calculating device has high real-time performance and accuracy during charge calculation, can query the charge on the mobile phone directly, has a small charge detail record data volume, needs no password and is more convenient and efficient, and simultaneously the stored bill is convenient for a user to check the charge.

The method comprises: using a sensor to collect the characteristic signals; the collected signals about each kind of running state are sent to the data processing module; after processed, the signals are sent to the computer system; said computer system comprises a device database, a symptom event database, a diagnosis knowledge database; a device database and signal analysis module, a symptom acquiring module, a diagnostic reasoning module, and a diagnosis explaining module; the software of the data processing module makes data exchange; the symptom event database exchanges data with the diagnostic module, data processing module; the diagnostic knowledge exchanges the data with the failure processing module, knowledge acquiring module and data processing module.

The invention provides a visual localization and obstacle avoidance method and a visual localization and obstacle avoidance system for an unmanned plane. The method comprises the following steps that an unmanned plane-mounted camera acquires visual sensing information of the unmanned plane, and acquires inertial navigation data by an inertia measuring unit of the unmanned plane; a remote control system receives visual sensing information and inertial navigation data, and obtains obstacle information in a flight environment where the unmanned plane is positioned according to the visual sensing information; an external camera performs visual localization on the unmanned plane to obtain the position information of the unmanned plane; the remote control system plans the flight path of the unmanned plane according to the obstacle information and the position information of the unmanned plane, and generates a flight control command according to the inertial navigation data and the flight path; and the unmanned plane receives the flight control command to control the unmanned plane to avoid obstacles. According to the embodiment of the invention, the problems of visual localization and obstacle avoidance of the unmanned plane are solved, and the unmanned plane has the capability of completing visual obstacle avoidance by using the plane-mounted camera and a positioning camera.

The invention discloses a method and a system for monitoring application logs. The method comprises the steps of capturing wrong information by an application server when exception occurs in a running application program, preprocessing the wrong information to generate an application blog, outputting the application blog to a monitoring server through a Scribe interface, receiving the application blog by the monitoring server through the Scribe interface to conduct sorted storing, reading the stored application log and obtaining the wrong information according to preset classification error types, then judging whether the obtained wrong information satisfies preset alarm strategies or not, and sending the obtained wrong information to a preset target user. By the application of the method and the system for monitoring the application logs, monitoring efficiency of the application blog can be improved, and real-time quality of application blog processing is promoted.

The invention discloses a remote automatic control system of a fracturing pump skid used in an oil field. The system is used for remote automatic control of a well service pump skid and a truck-mounted skid used in the oil field; the remote automatic control system consists of a field control system which consists of Siemens S7-315 series PLCs which are taken as a core, a Siemens MP370 which is taken as a remote control human-machine interface, and Ethernet which is taken as a transmission media; the system can achieve remote control functions such as start, stop and emergency stop of an engine, gear shifting, braking, turning back to a neutral position and idle speed of a gearbox and the like, and the system can modify field running parameters in a remote manner, thus realizing bidirectional transmission between the pump skid and the human-machine interface (HMI); the Ethernet is taken for communication so that the pump skid can transmit the field data to a remote controller or a server at the speed of 100MB/S; an industrial exchanger is taken to connect the devices such as the PLC, the HMI and the like to achieve more group controls; the exchanger can convert the field data into the data formats such as a standard *.CSV format and the like, and directly transmit the data to the server for data processing.

The invention provides gesture identification method and system based on visual sense. The system comprises a gesture image acquisition device and a controller which are mainly used for realizing gesture image acquisition, image data entry, gesture image identification and operation command execution, wherein the gesture image identification comprises image binaryzation, gesture split, feature extraction and feature matching. The invention has real-time performance, obtains identification results by extracting and matching the features of gesture images of a user, and executes corresponding commands according to the identification results. In the invention, hands are used as input devices, only the acquired images need contain complete gestures, and the gestures can be allowed to translate, change in dimension and rotate within a certain angel, thereby greatly improving the use convenience of devices.

The invention belongs to crossing field of computer vision and intelligent robots and discloses a variational mechanism-based large-area indoor scene reconstruction method. The method comprises the following steps: step 1, acquiring calibration parameters of a camera, and building an aberration correcting model; step 2, building a camera position and gesture depiction and camera projection model; step 3, utilizing an SFM-based monocular SFM (Space Frequency Modulation) algorithm to realize camera position and gesture estimation; step 4, building a variational mechanism-based depth map estimation model, and performing solving on the model; and step 5, building a key frame selection mechanism to realize three-dimensional scene renewal. According to the invention, an RGB (Red Green Blue) camera is adopted to acquire environmental data, and a variational mechanism-based depth map generation method is proposed through utilizing a high-precision monocular positioning algorithm, so that quick large-area indoor three-dimensional scene reconstruction is realized, and problems of three-dimensional reconstruction algorithm cost and real-time performance are effectively solved.

The invention discloses an intelligent detection device of defects of a mobile phone outer shell based on machine vision. The device comprises a transmitting device, detection systems, a degraded product unit and a computer; the transmitting device comprises two transmitting strips and a diversion air cylinder; each detection system respectively detects the frontage side, the left side, the rightside, the front side and the rear side of the mobile phone outer shell; each detection system comprises an illumination unit and an image collecting unit; the illumination unit illuminates one side of the outer shell of the mobile phone, and the image collecting unit photographs; collected image signals are transmitted to the computer; the computer recognizes the degraded mobile outer shell, and transmits the serial numbers of the mobile outer shell with defects to a degraded product rejecting unit; and the degraded product rejecting unit rejects the mobile phone outer shell with defects. According to the invention, defects such as scratches, burr, discoloration, dent, bubbles of the mobile phone outer shell can be detected, the degraded products are separated automatically, and the device has the characteristics of intelligence, high efficiency, stability and high accuracy.

A vehicle control device includes a sensor controller which uses the network connection to obtain sensor signals that represent the state quantity of a vehicle and the manipulated variable of a driver, a command controller which generates the control target value according to the sensor signals which are obtained by the sensor controller and an actuator controller which receives the control target value from the command controller to actuate the actuator for controlling the vehicle. The actuator controller is equipped with a control target value generation device which generates the control target value according to the sensor value of the sensor controller that is received by the actuator controller on the internet when the control target value generating from the command controller is abnormal. The actuator is controller through the control target value which is generated from the control target value generation device. The vehicle control device does not improve the prolixity degree of every controller above the required level. Through preventing errors in the whole system, the device can guarantee the reliability, the real-time character and the expansibility with simple ECU composition and low cost.

The invention relates to a method and system for screening face images. The method comprises the following steps: according to preset face integrity standards, face size threshold and face position threshold, obtaining a first screening result; according to a preset definition threshold, obtaining a second screening result; according to a preset best angle threshold, obtaining a third screening result; and according to the sum of similarities between each face image and other face images, the definition of each face image and the face deflection angle, obtaining the weighting sum of each face image in the third screening result, and acquiring a face image with the maximum weighting sum for face identification. The method can be used for solving the problem that the face is mistakenly identified due to the low quality of an input image, the data volume of the face images is effectively reduced, and the operation load during face identification is relieved; and moreover, the data volume of the face images is reduced, front face images with high quality are effectively screened to be identified, and the accuracy and real-time performance of face identification are improved.

The invention discloses an industrial robot workpiece positioning grabbing method based on visual guidance. The method includes the following steps that 1, a system parametric model is established, and calibration of a camera is conducted; 2, a workpiece feature template is determined; 3, workpiece template living examples are sought for, and the positions of workpieces are determined according to coordinate information of the living examples; 4, the speed of a target workpiece is calculated; 5, the pose, in a robot basic coordinate system, of the workpiece is predicted when the workpiece is located at a station to be grabbed; 6, a robot moves according to a planned path to approach and grab the workpiece and place the workpiece at the position of a target point. The invention further discloses a system for implementing the industrial robot workpiece positioning grabbing method based on visual guidance in the patent claim 1. The system comprises a conveying belt, an optoelectronic switch, a camera, an industrial control computer, the robot and the target workpiece. The system has the advantages of being high in positioning accuracy, high in working efficiency, high in automation degree and the like.

The invention discloses a three-dimensional formation reconfiguration method for multiple unmanned aerial vehicles based on particle swarm optimization and genetic algorithm. The method considers the position of the unmanned aerial vehicle in the ground coordinates and the speed, track angle and course angle of the unmanned aerial vehicle when establishing a formation model, carries out subsection linear disposal of the control input of each flying unit in the unmanned aerial vehicle, replaces the approximate subsection linear control input with the continuous control input, then carries out global search by the genetic algorithm, subsequently carries out partial searching by the particle swarm optimization algorithm, on the base thereof, the particle swarm optimization is used to guide the genetic algorithm to search a global optimum solution so as to figure out the subsection linear control input. Compared with the traditional method, the method provided by the invention has good real-time performance and rapidity and can be used for solving the formation reconfiguration problem of multiple space robots under complex and dynamic environment.

The invention provides an intelligent comprehensive monitoring and security integrated management system for a parking garage. The system solves the comprehensive intelligent management problems of related automatic monitoring, automatic detection, display, different languages and voices, communication, dispatching, guide, digital quantity identification, security, forbidding and passing, charging, statistics, self diagnosis and maintenance and the like of various self-propelled and automatic three-dimensional mechanical parking garages. The system has significant meanings for improving the monitoring, security and management levels of various parking garages, promoting static traffic modernization construction and increasing the social and economic benefits of the parking garages.

In the invention, the detecting system comprises a video camera and a signal processor. It uses an improved Gaussian mixture distribution model to characterize each pixel in image frame; the characterized feature only uses a brightness feature; if there isn't a moving object (vehicle), the video image is relatively static; each pixel obeys a statistic model along with time variation; when getting a new image frame, the Gaussian mixture distribution model is renewed, if the pixel in current image match the Gaussian mixture distribution model, then determining the pixel is a background point; otherwise, determining the pixel is a foreground point.

The scene matching method for raising navigation precision includes the following steps: 1. for the topographic scene matching module in combined navigation system to read in topographic data based on the digital topographic picture; 2. to search mapping point in the topographic picture based on the current geographic location the inertial navigation system obtains; 3. to intercept the reference map data from the topographic picture around the mapping point; 4. matching the measured map and the reference map; and 5. correcting inertial navigation with the matched result so as to raise the precision of inertial navigation system greatly. One simulating combined navigation system is also disclosed, which includes an aviation trace planning module, a flight control module, an aviation trace generator, an inertial navigation module, a topographic scene matching module matching module and an image displaying module. It has high locating precision, high autonomy and excellent man-computer operation interface.

The invention relates to a night preceding vehicle detection method based on a millimeter-wave radar and machine vision, which belongs to the field of vehicle control. The night preceding vehicle detection method comprises the following steps: (1) performing camera calibration, so as to obtain a projection matrix of world coordinates to image pixel coordinates, establishing a transition relation between a radar coordinate system and a world coordinate system, and converting radar coordinates into the image pixel coordinates; (2) resolving received millimeter-wave radar data, excluding false targets and determining effective targets through data processing, and synchronously collecting camera images; (3) projecting radar scanning points under the world coordinate system to an image pixel coordinate system, and establishing an region of interest (ROI) on the images according to projective points; (4) detecting whether a vehicle exists in the region of interest based on an image processing method. Compared with the prior art, the night preceding vehicle detection method has the characteristics of fusion of the millimeter-wave radar and the machine vision, high real-time performance and high accuracy.

The invention discloses an all-round intelligent guiding system and method for a large parking lot, and belongs to the field of intelligent traffic. The system disclosed by the invention comprises a guidance-initializing inlet unit, a guidance-stopping outlet unit, a guidance-path planning server, an anti-jamming coordinated controller, a guidance-indicting subsystem and a parking-space information-monitoring subsystem. Parking, vehicle taking-out and exit-guiding services are intelligently provided for a driver in the whole process from entering the parking lot to leaving the parking lot through the system by adopting a fork-passing triggering-type guidance-path updating and optimizing mechanism on the basis of a radio-frequency technology, a fork-passing triggering-type positioning mechanism and an anti-jamming path-planning mechanism, so that the parking lot is safer, more energy-saving and more highly-efficient in operation.