Invention Grant
US09282429B2 Scalable real-time location detection based on overlapping neural networks
有权
基于重叠神经网络的可扩展实时位置检测
- Patent Title: Scalable real-time location detection based on overlapping neural networks
- Patent Title (中): 基于重叠神经网络的可扩展实时位置检测
-
Application No.: US14267046Application Date: 2014-05-01
-
Publication No.: US09282429B2Publication Date: 2016-03-08
- Inventor: Robert J. Duggan , Dragan Vidacic
- Applicant: Consortium P, Inc.
- Applicant Address: US NH Rochester
- Assignee: CONSORTIUM P, INC.
- Current Assignee: CONSORTIUM P, INC.
- Current Assignee Address: US NH Rochester
- Agency: Maine Cernota & Rardin
- Main IPC: H04W24/00
- IPC: H04W24/00 ; H04W4/02 ; G01S5/02

Abstract:
A system and method for real-time location detection consists of three groups of components. Mobile subjects to be tracked are equipped with wireless transceivers capable of sending and optionally for receiving data over pre-determined radio frequency (RF) band(s). Router/base station access point devices are equipped with wireless transceivers capable of sending and receiving data over pre-determined radio frequency (RF) band(s) in order to communicate with mobile units. Routers are combined into specific overlapping router groups, with each group forming a spatial sub-network. System central processing and command station(s) perform data processing and implementation of computational models that determine the mobile unit location. System deployment consists of three phases: collection of training and testing data, network training and testing, and network adaptive maintenance.
Public/Granted literature
- US20140329540A1 SCALABLE REAL-TIME LOCATION DETECTION BASED ON OVERLAPPING NEURAL NETWORKS Public/Granted day:2014-11-06
Information query