1. Human Tracking System Using DFP in Wireless Environment 3 rd - Review Batch-09 Project Guide Project Members Mrs.G.Sharmila V.Karunya (81210132035) AP/CSE S.Aiswarya (81210132003)

2. 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.

3. OBJECTIVE To track the location of the human entity using DFP localization.

4. 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.

5. 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.

6. 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.

7. 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.

8. SYSTEM ARCHITECTURE Member 1Member 2Member 3 Family members Monitoring point Point 1Point 2Point 3 Access point Base stationgatewaynetworks Satellite

9. MODULES Family Innovation Location Tracking Service Panic alert Route in Motion

10. 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.

11. 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 satelliteReturn Address Database Stores request Redirecting Send address Track Location

12. 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

13. 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.

14. FAMILY INNOVATION

15. LOCATION TRACKING SERVICE

16. ROUTE IN MOTION

17. PANIC ALERT

18. 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.

19. 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.

20. THANK YOU