Abstract: A system for product popularity analysis and management, applied to a store with products, includes a monitor device capturing an image or a video of the store interior; a product positioning device obtaining location data indicating locations of the corresponding visual symbols by analyzing the image, and retrieving information data of the products by scanning the visual symbols in the image; a hot-zone analyzing device detecting and recording traffic flows of customers in the store according to the video, generating plural hot-zone data associated with activities of the customers at locations in the store by analyzing the traffic flows of the customers; and a processing device defining cover regions based on the locations of the corresponding visual symbols, integrating the hot-zone data falling into a common cover region, and pairing the integrated hot-zone data with the information data of the corresponding visual symbol associated with the common cover region.

Abstract: An indoor positioning system determines the location of a mobile device by comparing measured signal strengths to a database determined via offline calibration. Automated maintenance and repair of the database are facilitated by accurately characterizing indoor radio signal propagation. Systems and methods for generating spatially-dependent path-loss models are disclosed.

Abstract: An indoor positioning system determines the location of a mobile device by comparing measured signal strengths to a database determined via offline calibration. Automated maintenance and repair of the database are facilitated by accurately characterizing indoor radio signal propagation. Systems and methods for updating a signal strength database are disclosed. In one variation, a computer-implemented method of discovering a new or moved wireless access point (AP) within an indoor environment involves flagging one of the wireless APs as the new or moved AP; determining a location of the new or moved AP using information from at least one of an installation log and an AP location solver; determining transmit strengths and estimated received signal strengths of signals transmitted from calibration reference points (RPs) to the AP using a spatially-dependent path-loss model; and adding the transmit strengths and estimated received signal strengths to the signal strength database.

Abstract: Systems and methods to generate safe zones and safe routes associated with a device are disclosed. These safe zones and safe routes can be used to map complicated location behavior into location behavior scores that can be applied systematically to tracking and authentication applications.

Abstract: An indoor positioning system determines the location of a mobile device by comparing measured signal strengths to a database determined during offline calibration. Automated creation, maintenance, and repair of the database are facilitated by accurately characterizing indoor radio signal propagation. Systems and methods for generating spatially-dependent path-loss models are disclosed.

Abstract: A positioning method and system are provided. The positioning method includes the steps of utilizing at least one electronic device to establish a calibration database corresponding to an irregular grid of reference location points which are defined in an environment; utilizing a mobile device to detect Wi-Fi access points in the environment; utilizing the mobile device to estimate the signal strengths of the detected Wi-Fi access points to generate an estimated result; utilizing a positioning terminal to compare the estimated result and data stored in the calibration database by a weighed K-Nearest neighbor location algorithm to generate a comparison result; and utilizing the positioning terminal to estimate the location of the mobile device according to the comparison result.

Abstract: Systems and methods to generate safe zones and safe routes associated with a device are disclosed. These safe zones and safe routes can be used to map complicated location behavior into location behavior scores that can be applied systematically to tracking and authentication applications.

Abstract: Systems and methods to generate safe zones and safe routes associated with a device are disclosed. These safe zones and safe routes can be used to map complicated location behavior into location behavior scores that can be applied systematically to tracking and authentication applications.

Abstract: Systems and methods to generate safe zones and safe routes associated with a device are disclosed. These safe zones and safe routes can be used to map complicated location behavior into location behavior scores that can be applied systematically to tracking and authentication applications.

Abstract: A computer system including a storage device and a controller is provided. The storage device is configured to store Service Set Identifiers (SSIDs), location information, and Media Access Control (MAC) addresses of a plurality of Access Points (APs). The controller is configured to determine a group of APs among the APs, whose MAC addresses are within a MAC address block, determine a first number of the group of APs whose SSIDs match one or more of a plurality of predetermined naming patterns or whose location information indicates a location change across a predetermined distance, determine whether a ratio of the first number to a total number of the group of APs exceeds a predetermined threshold, and classify the APs in the group as mobile APs when the ratio exceeds the predetermined threshold.

Abstract: A method for correcting a positioning location is provided. The method includes: receiving current positioning information; comparing a current Mobile Country Code (MCC) comprised in the current positioning information with a previous MCC comprised in previous positioning information; determining whether a moving speed of a mobile device is greater than a speed threshold according the current positioning information and the previous positioning information when the current MCC is the same as the previous MCC; determining whether the mobile device has moved after determining that the moving speed is not greater than the speed threshold; and identifying a final positioning location according to a determination result indicating whether the mobile device has moved.

Abstract: A database of Wi-Fi access point location data is built from (a) provisioning data; (b) GPS location estimates; and (c) inferred location estimates.