61results about How to "Simple hardware requirements" patented technology

Scheme for switching a computer system (21), which is connectable via a communication interface and a network (22) to a server module (23), into a special mode of operation. The computer system (21) comprises a software component (26) for sending an identifier (w) assigned to the computer system (21) via the communication interface and the network (22) to the server module (23). In response, the software component (26) receives a token (S), issued by the server module (23), whereby the token (S) comprises a credit (C). In addition, the computer system (21) comprises a trusted hardware component (25) storing the identifier (w) and comprising a credit counter (44) with a credit which is automatically exhaustible step-by-step, and which is updateable with the credit (C) received from the server module (23). The computer system (21) has a trigger unit for switching the computer system (21) into the special mode of operation, e.g. a mode where the computer system (21) is of limited use to a user, if the credit of the credit counter is exhausted.

This is the manual-free automatic service center style auto network anti-theft anti-robbery monitoring alarm and satellite positioning system. It based on GSM/GPRS/CDMA/3G and other mobile communication network, telecom network, Internet network, GPS, GIS, data-character switch processing, character and voice switch processing, data storage and connection processing and so on. It builds the complete network manual-free automatic service center. The system vehicle-carrying host in this invention can compliant with any existing vehicle-carrying burglar alarm, and can real-time view/send various information of vehicle by any communication network remotely. It can also use the intelligent voice platform of this system send words, voice, image, picture and other system information and attached added value service information to various communication terminal of system user.

The invention discloses an automatic making up method of a three-dimensional Beijing opera facial makeup. The method comprises steps of acquiring image input from an input source, carrying out face detection and face feature point positioning and marking the feature points on an image; carrying out face normalization processing on the feature points, calculating depth information of the normalized face image and according to the depth information, reconstructing three-dimensional point cloud; according to the feature point information, carrying out triangular blocking operation on the face image; manually marking the feature points on a prepared Beijing opera facial makeup picture, and carrying out the triangular blocking operation on the Beijing opera facial makeup; coloring the face image with each triangular block on the Beijing opera facial makeup; and using the Beijing opera facial makeup to recolor the three-dimensional point cloud, and displaying the result to a user. According to the invention, by calculating the coordinates of the face feature points and the face three-dimensional mode, and using the technology related to computer vision and image processing, a Beijing opera facial makeup with manually pre-marked feature points is drawn on the three-dimensional model of the target face.

The invention discloses a forehead wrinkle motion detection method, which comprises the steps of extracting a plurality of video frames from a face video to be detected; acquiring a forehead region of each video frame extracted from the face video to be detected; calculating a gradient value of each pixel of the forehead region in each extracted video frame through an edge detection operator; calculating a variance of the gradient value of each pixel of the forehead region in each extracted video frame to obtain a corresponding forehead wrinkle value of the video frame; and judging a forehead wrinkle motion of the face video to be detected based on the forehead wrinkle value of each extracted video frame. Correspondingly, the invention further discloses a forehead wrinkle motion detection device. The forehead wrinkle motion detection method and device are simple in calculation and high in efficiency.

The invention discloses a smile motion detection method, and the method comprises the steps: extracting a plurality of video frames from a to-be-detected human face video, wherein the extracted video frames comprise a first video frame of the to-be-detected human face video; obtaining the positions of key points at left and right mouth corners of each extracted video frame in the to-be-detected human face video; taking the positions of key points at left and right mouth corners of the first video frame as the reference, and obtaining the moving distances of the left and right mouth corners in each extracted video frame; determining that a to-be-detected human face in a video frame with the moving distances of the left and right mouth corners being greater than a preset distance threshold value is in a smiling state; and determining that the to-be-detected human face is smiling if a plurality of extracted video frames comprises a preset number of video frames with the to-be-detected human face being in a smiling state. Correspondingly, the invention also discloses a smile motion detection device. The method is simple in calculation, and is high in efficiency.

The invention discloses a grimacing detection method. The method includes the steps of extracting a plurality of video frames from a face video to be detected; acquiring a face region position, several key point positions of the eyes and several key point positions of the mouth from each extracted video frame; calculating the face region area, the eye area and the mouth area respectively through the face region position, the several key point positions of the eyes and the several key point positions of the mouth; obtaining a measuring fraction by calculating a ratio of the sum of the eye area and the mouth area of each extracted video frame to the face region area; and determining the grimacing condition of the face video to be detected based on the measuring fraction. Correspondingly, the invention also discloses a grimacing detection device. According to the invention, the calculation is simple and the efficiency is high.

The invention discloses a head movement detection method, which comprises the steps of extracting a plurality of video frames from a human face video to be detected; acquiring a plurality of key point positions of the head in each of the video frames extracted from the human face video to be detected; acquiring a yaw angle value and a pitch angle value of the head in each of the extracted video frames in the three-dimensional space according to the plurality of key point positions of the head; and judging a movement condition of the head in the human face video to be detected based on the yaw angle value and the pitch angle value of the head in each of the extracted video frames. Correspondingly, the invention further discloses a head movement detection device. The head movement detection method and device disclosed by the invention are simple in calculation, high in efficiency and low in requirement for hardware equipment.

The invention relates to a computer operation management system of production enterprises, mainly comprising a central processing system and remote data collection terminals performing data exchange with the central processing system. The remote data collection terminals comprise a raw material data collection terminal, an intermediate product data collection terminal, a production data collection terminal, a marketing plan input terminal, a production plan input terminal and a purchase plan input terminal; the central processing system is provided with a real-time inventory database and a key product whole course database, and a data statistics unit, an optimization analysis unit, a data storage and the like. The invention only can not realize collection and statistics of storage data, but also perform comprehensive monitoring of storage situation of the whole course covering production, supply and sales with respect to key products in the enterprise, judge whether the operation situation is normal, and alarm when abnormality appears, thus being favorable for enhancing the operation management level of the enterprise as a whole.

The invention discloses a mouth movement detection method, which comprises the steps of extracting a plurality of video frames from a human face video to be detected; acquiring a plurality of key point positions of the mouth in each video frame extracted from the human face video to be detected; acquiring the mouth length and the mouth width of the mouth in each extracted video frame according to the plurality of key point positions of the mouth, and acquiring a mouth value of the corresponding video frame through calculating the ratio of the mouth length and the mouth width; and judging a movement condition of the mouth in the human face video to be detected based on the mouth value of each extracted video frame. Correspondingly, the invention further discloses a mouth movement detection device. The mouth movement detection method and device are simple in calculation and high in efficiency.

The invention relates to a remote production management system for a computer, which mainly comprises a central computer, a plurality of local data acquisition terminals and a plurality of remote data acquisition terminals, wherein, the central computer is connected with various local data acquisition terminals through cables and is in communication connection with the remote data acquisition terminals through a wireless base station, inhouse and outhouse data and product data during manufacture of various goods are transmitted through various remote data acquisition terminals and local data acquisition terminals received by the wireless base station and the cables, the inhouse and outhouse data and the production data are counted, analyzed and stored, the central computer is provided with a stock, a production database and an optimal analysis database and is also provided with a data statistical unit, an optimal analysis unit, a data storage and output unit, a manual input device and a central control unit; therefore, the system not only can realize acquisition and statistics of the storage data, but also can optimize and control stock modes, stock quantity and stock time of the goods according to the enterprise management condition, the remote production management system can alarm when an optimization problem occurs, so that the system is favorable to enhance the operation management level of the enterprise on the whole.

The invention relates to an enterprise stock and production management system, which mainly comprises a central processing system, a stock data acquisition terminal and a production data acquisition terminal, wherein, the data acquisition terminal collects inhouse and outhouse data and product data during manufacture for feeding various goods into the central processing system respectively, the inhouse and outhouse data and the product data during manufacture are counted, analyzed and stored through the central processing system, the central processing system is provided with a real-time stock, a product database during manufacture and an optimal analysis database and is also provided with a data statistical unit, an optimal analysis unit, a data storage and output unit, a manual input device and a central control unit; therefore, the system not only can realize acquisition and statistics of the storage data and the real-time production data, but also can optimize and control stock modes, stock quantity, stock time and a manufacturing process of goods according to the enterprise management condition, the enterprise stock and production management system can alarm when an optimization problem occurs, so that the system is favorable to enhance the production operation management level of the enterprise.

The invention discloses an improved Resnet-based human face in-vivo detection method and related equipment, and relates to the field of in-vivo detection, and the method comprises the steps: obtaininga to-be-detected single-frame image containing a human face image; for each face image in the to-be-detected single-frame image, based on an improved Resnet, obtaining a probability value of the faceimage directly coming from a living body; and judging whether the face image is directly from a living body based on a matching result of the probability value and a preset threshold value. Accordingto the method, the accuracy of human face in-vivo detection is improved.

The invention relates to a remote computer inventory management of production enterprises, mainly comprising a central processing system and data collection terminals performing data exchange with the central processing system. The data collection terminals are used for collecting relevant data of various cargoes and sending the relevant data to the central processing system and comprise a raw material data collection terminal, an intermediate product data collection terminal, a production data collection terminal and a marketing plan input terminal; the central processing system is provided with a real-time inventory database and an optimization analysis database, and is additionally provided with a data statistics unit, an optimization analysis unit, a data storage and output unit, an artificial input device and a central control unit. The system can not only realize collection and statistics of storage data, but also optimize and control the inventory manner, inventory quantity and inventory time of the cargoes according to the business condition of the enterprise, thus being favorable for enhancing the business management level of the enterprises as a whole.

The invention discloses a frequency spectrum detection system positioning method based on an ATDOA algorithm, and the method comprises the steps: at least six base stations are deployed in a three-dimensional space to carry out the positioning monitoring of a radiation source, the coordinates of the radiation source are obtained, the positions of the base stations is fixed and known, and clocks are allowed to be asynchronous among the base stations; the radiation source sends sound pulses at a fixed frequency, can be measured by a monitoring station and moves within a monitoring range at a relatively high speed. The problem of clock synchronization is solved for a monitoring system applying a TDOA algorithm for positioning. An ATDOA algorithm is applied to frequency spectrum monitoring, and the ATDOA algorithm comprises the steps of identifying the frequency of signals sent by a radiation source, obtaining the time difference of the signals sent by the radiation source received by a plurality of observation stations twice, distributing tasks of the observation stations and a central station in the process, and solving obtained data information through a genetic algorithm. Therefore, strict clock synchronization required by the TDOA method is avoided, the positioning precision of the system is effectively improved, and the positioning power consumption is reduced.