Human Tracking System Using DFP in Wireless Environment

3rd- Review

Batch-09

Project Guide Project Members

Mrs.G.Sharmila V.Karunya (81210132035)

AP/CSE S.Aiswarya (81210132003)

ABSTRACT

The method of tracking a human entity in a wireless environment using device free passive localization concept with an accuracy of 2metres, low error rate, rich in multipath.

OBJECTIVE

To track the location of the human entity using

DFP localization.

EXISTING SYSTEM

• User carries an extra device and it increases the burden of the user.

• Discrete space estimator returns a single location from the set of location of mortal while the mortal is in motion.

DISADVANTAGES

• High accuracy cannot be achieved due to the environmental problems.

• User needs to participate actively in the localization process in order to obtain the location.

• In noisy wireless channel the location of a person cannot be detected accurately.

• A change in environment causes connectivity problem.

PROPOSED SYSTEM

• User need not carry any extra device(except a smart phone).

• Continuous space estimator returns multiple location of the mortal while the mortal is in motion.

• Nuzzer algorithm gives location estimates with less than 2-meters median distance error.

ADVANTAGES

• Noisy wireless channel is avoided and the location of the person can be detected accurately.

• User does not need to actively participate in localization process.

• High accuracy can be achieved even in case of any environmental crisis.

• Changes in environment produce precise result that is connectivity problem doesn’t exist.

SYSTEM ARCHITECTURE

Member 1 Member 2 Member 3

Family members

Monitoring pointPoint 1 Point 2 Point 3

Access pointBase station gateway networks

Satellite

MODULES

• Family Innovation• Location Tracking Service• Panic alert• Route in Motion

FAMILY INNOVATION

Family should be innovated first. The main content would be the mobile number of each family members. Any number of members can be added. Groups can formed and the creator becomes the admin, and admin manages the group. Anyone can leave the group and delete their account anytime. The details of the members are totally secure.

LOCATION TRACKING SERVICE

Human Tracking utilizes your phone's internal GPS hardware to obtain an accurate reading of the location and transmit it. This applications allows you sharing your GPS location as readable address with Area code, Street Name.Or Google Map Link which uses a high resolution map viewable on any web browser. It not only to monitors real-time locations, but also retrieves history location proof information when needed.

Family Members

satellite Return AddressDatabase

Stores

request

Redirecting

Send address

Track Location

ROUTE IN MOTION

The motion directions can be predicted and displayed at each interval. The interval can also be chosen by the family member to track the family member in motion. The Location of the family member can also be updated easily. The Route detected by the human tracking system is accurate up to the level. Unknown user cannot be tracked the family member location without the details provided by the family members.

Members Track location

Satellite

Update

Request Redirect

For every 1min

Send Location for every update

PANIC ALERT

Panic Alert is used in case of emergency situation. When the panic alert button is pressed, a message is sent to all the family members along with address in readable format and a link of the location in the map. This feature helps to track a persons location in case of emergency and send a rescue team.

FAMILY INNOVATION

LOCATION TRACKING SERVICE

ROUTE IN MOTION

PANIC ALERT

FUTURE ENHANCEMENT

The performance of the Nuzzer system is evaluated both analytically and experimentally in two typical test beds rich in multipath. For the First test bed the nuzzer system gives a median distance error of 1.82 meters, 3.7 times better than deterministic techniques and 7.7 times better than random estimator. For the Second test bed, the system gives a median distance error of 0.85 meters. The System can also be extended in different directions including: activating panic alert in button press and analyzing the effect of dynamic changes in the environment and different hardware.

CONCLUSION

A DfP system is envisioned to be able to detect, track, and identify entities that do not carry any device, nor participate actively in the localization process. The system works by monitoring and processing changes in the received physical signals to detect changes in the environment. We described the DfP system’s architecture and showed the feasibility of the system by describing algorithms for implementing different functionalities of the DfP system that works with nominal Wi-Fi equipment.

THANK YOU