446results about How to "Avoid identification" patented technology

A method for verifying user identity and age includes: using a front camera to receive a frontal image of a human face; using a rear camera to receive an image of an identification document, from which a headshot and a date of birth code are extracted; determining whether there is a coincidence or not by comparing the face image and the headshot; determining whether an age value, calculated by comparing the date of birth code and a current date, is greater than or equal to a threshold value; when the face image coincides the headshot and the age value is larger than or equal to the threshold value, the verification is passed and an online transaction proceeds; when the face image is not consistent with the headshot or the age value is smaller than the threshold value, the verification fails and the online transaction is terminated.

A monitoring system for a periphery of a structure (100) comprises a monitoring module (102) having a detection and ranging system (304, 308) arranged to support monitoring of a portion of the periphery in order to detect passage of a body beyond the periphery. The detector (304, 308) has an imaging resolution that prevents conclusive visual identification by a human operator of the nature of the body. The monitoring module also comprises a video capture apparatus (312, 314) arranged to provide video data. The system also comprises a monitoring station apparatus (200) arranged to receive data from the monitoring module (102). In response to detection of the passage of the body by the detection system (304, 308), the monitoring station (200) enables the operator to review the video data. The video data enables the operator to identify readily the nature of the body detected and thereby to provide confirmatory visual evidence when the body is human.

A peer node according to the present invention relates to a peer node for constructing a peer-to-peer (P2P) network allowing P2P type communication. The peer node includes a unit dividing a share target file for information sharing through the P2P network into a plurality of divided files in a form where contents of each divided file makes no sense by itself; a unit distributing and arranging the plurality of divided files to and in a plurality of peer nodes including the own peer node and at least one other peer node constituting the P2P network; and a unit moving each of the divided files of distribution and arrangement between the plurality of peer nodes at a certain period of time.

The invention discloses an application of nanometer structure lipid carrier administration system in the antineoplastic drug to reverse the multiple-drug tolerance of tumour cell, which comprises the following parts: solid lipid material, liquid lipid material and antineoplastic drug, wherein the rate of the liquid lipid (such as oleic acid) is 0-30wt%; the solid lipid is selected from monoglyceride; the liquid lipid is oleic acid; the antineoplastic drug is Paclitaxel or adriablastina. The invention has highly effective cell uptaking and cytolymph condensing function with packing molecular target in the antineoplastic drug of cell, which avoids P-glucoprotein in the drug tolerant cytolymph from identifying the antineoplastic drug to reduce exclusion.

The invention discloses a method for identifying the mode of a switch of a substation based on infrared detection. The method comprises the following steps of: 1, inputting an image to be identified, acquiring a switch area of the image by image registration, and sequentially graying, binarizing and thinning the switch area; 2, linearly detecting the image of the thinned switch area by using a Hough transformation algorithm; and 3, determining a detection result, and identifying the state of the switch by using a switch state determination condition. An H matrix between two images is obtainedby matching of the features of scale invariant feature transform (SIFT), the switch area in the image is found, and then the state of the switch is identified. Experiments show that: by the method, the problem of identification of a power switch can be effectively solved; an important significance is provided for automatic monitoring of the power equipment of an intelligent substation; the burdens on an inspector of the substation can be reduced; and detection efficiency is greatly improved.

The invention discloses a method for tracking a moving object on a production line, and belongs to the field of automatic devices. The method comprises the following steps that: a visual sensor acquires an image of the moving object and transmits the image to a computer; a servo motor controls the operating speed of a conveying belt and acquires displacement information of the conveying belt; the computer receives the image and identifies position information of the moving object; the computer eliminates the situations of missing and repeated identification of the moving object according to the image, the position information, a first decision making condition and a second decision making condition and acquires effective position information of the moving object; the computer acquires position coordinates of the moving object according to the effective position information and the displacement information and stores the position coordinates in a grasped moving object database; and parallel mechanical hands sequentially extract the position coordinates of the moving objects from the grasped moving object database and perform the grasping operation. The method can meet the requirement that the parallel mechanical hands grasp the scattered moving objects at a high speed in real time.

The invention discloses a neural-network self-correcting control method of a permanent magnet synchronous motor speed loop. The method is characterized by: taking a current loop and a motor as generalized objects; firstly, collecting information, such as a rotating speed, a current and the like; using an adaptive linear time-delay neural network to carry out off-line parameter identification to the motor; then, taking a weight obtained through off-line learning as an initial value of on-line learning; finally, carrying out on-line parameter identification to the system, calculating a load torque of the motor according to the identified parameter; designing a neural-network self-correcting control law according to the obtained parameter value and a load disturbance value, adjusting the network weight on line according to an error between a controlled object and an identification model, and then setting the parameter of the neural-network self-correcting controller on line so as to realize online adjustment of the controller parameter. Uncertainty of the system and influence brought by the external disturbance can be eliminated. Dynamic performance and an anti-disturbance ability of a servo system can be improved.

A system for detecting and evading vehicle identification means (VIM), comprising: locating means, control means having a plurality of I/O channels, each adapted to receive or transmit serial or parallel data, processing means, electronic storage means comprising at least one database of known VIM coordinates and identification prevention device (IPD) adapted to automatically prevent identification of the vehicle's license plate number, owner or driver.

A method of identifying the operation of an electrical appliance comprising an induction motor is described. The method comprises identifying the operation of an electrical appliance comprising an induction motor when a path traced by real power values against corresponding reactive power values over a time period of interest comprises one or more substantially circular arcs. The real power values are related to the total real power supplied to one or more electrical appliances as a function of time, and the reactive power values are related to the total reactive power supplied to the one or more electrical appliances as a function of time.

There is also described a related method of identifying the operation of a specified type of appliance, in which the operation of said specified type of appliance is dependent on a supply of at least one utility such as electricity, natural gas or water. Corresponding computer programs, computer-readable mediums, computer program products and apparatuses are also described.

The invention discloses a face capture recognition method based on face quality evaluation. The invention adopts depth learning to carry out face quality evaluation score regression training on threetypical data sets with quality grade difference, acquisition of Face Quality Evaluation Model, the model is applied to face capture system, In order to reduce the system load without losing accuracy,the real-time received video stream is divided into several capture cycles according to the fixed number of frames, and the capture quality conditions are dynamically adjusted in each capture cycle, and the highest quality face in a period of time is output for face recognition algorithm to recognize. The invention adopts the technology of depth learning to score face quality, cooperates with facecapture to carry out low-quality face filtering and optimal face selection, thereby better serving the face recognition system, and realizes lower system hardware resource occupancy and higher face recognition rate at the same time.

The invention belongs to the field of communication and provides an information privacy method and an electronic terminal. The information privacy method includes the following steps. Biological characteristics of a current user are collected. The biological characteristics of the current user are compared with at least one user biological characteristic stored in a biological characteristic base. The user biological characteristic is correlated with operation authority of information privacy. According to a comparison result, information that the current user is not supposed to know is automatically hidden. The biological characteristics of the current user are collected and compared with the stored biological characteristics. Based on the comparison result, the information that the current user is not supposed to know is automatically hidden. Thus, automatic identification can be performed without tedious log-in and code entering. Private information can be automatically hidden and a privacy manner is invisible and not easily observed by people.

A device implements a method of tracking objects on a touch surface of an FTIR based touch-sensitive apparatus. An interaction map is generated that indicates local changes in interaction on the touch surface. The interaction map is processed for identification of positive and negative peaks that represent a locally increased and decreased interaction in the interaction map, respectively. To suppress the impact of interferences, a dedicated first heuristic and/or second heuristic is applied to identify potentially false peaks among the positive peaks. The first heuristic designates a positive peak as a potentially false peak when the positive peak is deemed to be associated with one or more of the negative peaks. The second heuristic designates a positive peak as a potentially false peak when the positive peak is deemed to be located along one of the movement trajectories. Movement trajectories of all objects deemed to exist on the touch surface at a preceding time point are then updated while taking the potentially false peaks into account.

A device implements a method of tracking objects on a touch surface of an FTIR based touch-sensitive apparatus.