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Method and System for Mobile Phone Tracking Based on Working Hours' Statistics Display in an Electronic Map

IP.com Disclosure Number: IPCOM000243430D
Publication Date: 2015-Sep-21
Document File: 3 page(s) / 87K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a method and system that enables a user, via a mobile device, to visualize and track the working hours of an establishment in relation to the user’s current geographical position. The system identifies working hours based on tracking the proximity, time of day, and duration of proximity of mobile devices in relation to the establishment.

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Method and System for Mobile Phone Tracking Based on Working Hours' Statistics Display in an Electronic Map

Consumers require a reliable method by which to know the working hours (i.e. open, close, peak, etc.) of an establishment such as a business office, retail store, restaurant, etc. Information on websites is not always present or up-to-date.

The novel contribution is a method and system that enables a user, via a mobile device, to visualize and track the working hours of an establishment in relation to the user's current geographical position. The system identifies working hours based on tracking the proximity, time of day, and duration of proximity of mobile devices in relation to the establishment.

Software installed in a mobile service provider's server tracks the user's mobile device movement, and the remote server accordingly clusters the movement based on geo-location, altitude, and time. The software considers the mobile device tracking data present in that location for more than a threshold limit of time. If the presence of the mobile device is below a pre-set threshold of time, then the software determines that the user is just passing through an area. If the presence of the mobile device exceeds a pre-set threshold of time, then software determines that the user is present in that location for a longer period (e.g., for shopping, meeting, eating a meal, etc.)

The system analyzes the cluster or information and maps it with a geo-location. Within that geo-location, the system then identifies establishments that are within working ours
(i.e. open for business). Based on the presence of the device, the associated time thresholds, and the time of day, the system identifies opening times, closing times, and peak business times. In addition, the software can perform a pattern analysis to accordingly identify holiday hours.

The system then plots the analyzed data on an electronic map with a histogram. This visualization helps the user identify nearby establishments that are open for business,

when the establishments are closing, and whether peak hours are near.

The system also provides a feature that allows the user to secure a virtual place in line at the establishment based on estimated (and negotiated) arrival time, so the user experiences minimal wait time. The concept of the user and the store negotiating an estimated arrival time and position in the queue is based on several factors:


• Distance: at any point, the software can track user's mobile device and accordingly can calculate the distance of the user from the establishment


• Traffic conditions: various prior arts are available to calculate traffic conditions on a real-time...