6 results about "Location determination" patented technology

The position of a mobile unit (12) within a detection zone is determined. An acoustic signal is emitted from the mobile unit and received along a first path (54). An echo of the signal is received after reflection from a surface (46) within said detection zone. The position of the mobile unit (12) within the detection zone is determined from the times of arrival of the signal and echo.

A method, system, and computer-readable storage medium are disclosed for editing an image comprising a first spatial dimension and a second spatial dimension. Input specifying one or more key locations on a first spatial coordinate line may be received. The first spatial coordinate line may correspond to the first spatial dimension of the image, and boundaries for a plurality of partitions of the image may be determined by the one or more key locations on the first spatial coordinate line. Input specifying one or more respective parameter values for an effect at each of the one or more key locations on the first spatial coordinate line may be received. The effect may be automatically applied within each of the plurality of partitions of the image based on the one or more parameter values at the respective boundaries for each of the plurality of partitions.

The invention discloses a low smart watch calibration method and device and a low smart watch. The method includes: disposing an FPC matching a watch dial in size under the watch dial, wherein a plurality of regions are disposed on the FPC and are insulated from one another, and watch hands and respective regions form a capacitor separately during operation; detecting the capacitance change amount of respective regions to determine a region where the watch hands are located currently and determining current time according to the current region where the watch hands are located currently; comparing the current time indicated by the watch hands with the current time of a mobile terminal to determine a time error; and adjusting the watch hands according to the time error in order that the time indicated by the watch hands is consistent with that of the mobile terminal. The method solves a problem that the low smart watch is required to be manually calibrated, realizes automatic calibration and time adjustment without affecting the appearance of a product or without any additional power consumption, is low in cost and beneficial to product promotion, and improves user experience.

The invention relates to a position determination method, and the method comprises the steps: obtaining a first time difference value which is the time difference value between the current time and the latest time when a terminal enters a home page; if the first time difference value reaches a first preset time difference value, obtaining first position information of the terminal; and uploading the first position information of the terminal to a server. The method continuously obtains a time difference between the current time and the latest time of entering a home page; when the time difference reaches the maximum time when the user normally needs to enter the home page again, it is determined that the user terminal may be lost, at the moment, the position reporting function is started,the position of the user is obtained and reported to the server, the user can obtain the position of the terminal by accessing data of the server so as to find the terminal, the method can automatically start the position reporting function, and the problem that a mobile phone is lost and difficult to find due to the fact that an existing terminal positioning function is not started is solved.

The invention discloses a social group determination method, apparatus and device, and a computer storage medium, and belongs to the field of communication social contact. The social group determination method comprises the following steps: obtaining a set of user positions, wherein the set of user positions records the positions of a plurality of users; according to the positions of a plurality of users, through a clustering algorithm, dividing a plurality of users into a plurality of clusters, and establishing a plurality of social groups in one-to-one correspondence with the plurality of clusters, wherein each social group comprises users in the corresponding cluster; and when receiving a current position provided by a target user, determining the distance between the current position of the target user and each cluster according to the current position and the positions of the plurality of users in the user position set, and dividing the target user into a social group corresponding to the target cluster in the plurality of clusters according to the distance between the current position of the target user and each cluster. According to the social group determination method, theproblem of poor flexibility of a social group determination method in related technologies is solved. The effect of improving the flexibility of the social group determination method is achieved.

The invention relates to an unmanned aerial vehicle target main point real-time positioning method and system and a storage medium, and the method comprises the steps: obtaining a monitoring image ofan unmanned aerial vehicle, selecting a current frame image according to the monitoring image, and carrying out the downsampling of the current frame image, and obtaining a first gray level image; Obtaining a current frame prediction position of the target center according to the first grayscale image, and calculating a current frame accurate position of the target center according to the currentframe prediction position; Performing binarization processing on the current frame image to obtain a second gray level image; In the second gray level image, determining a current frame suspicious area of a target main point in the current frame image according to the accurate position of the current frame; And determining the positions of a plurality of target critical points of the unmanned aerial vehicle according to the current frame suspicious area and the current frame accurate position. The method can quickly and accurately position the essential points of the unmanned aerial vehicle inreal time, meets the requirements of multi-rotor high-frame-frequency processing and complex background recognition, and can be widely applied to the technical field of unmanned aerial vehicle countering.