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Bio inspired Group Modeling and Analysis for Intruder Detection in Mobile Sensor/Robotic Networks
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Bio - inspired Group Modeling and Analysis for Intruder Detection in Mobile Sensor/Robotic Networks

Category : Robotics

Sub Category : Mobile Robot

Project Code : ITROB09

Project Abstract


For an on-demand robotic system, a location aware module provides location information of objects, users, and the mobile robot itself. This information supports various intelligent behaviors of a service robot in day-to-day scenarios. This paper presents a novel probability-based approach to building a location aware system. The location aware system has been integrated with an autonomous mobile robot to demonstrate the proposed on-demand robotic intruder detection system. In the experiments, three alarm sensors were employed to monitor abnormal conditions. If an intrusion was detected, the robot immediately moves to the location and check whether the human authorized or not with help of image processing technique. And which is comparing the images with predefined images in the data base. 


Existing System

Proposed System


Ø  The traditional design used to have limited intelligence and mainly operated by human operator. Also the mechanism design is modeling as a 2 d.o.f (degree of freedom) robot arm, which is rather restricted in operating orientation angles.

Drawbacks of proposed system:

Ø  Need to calculate angle of the direction

Ø  Slow response

Ø  More time consumed


Ø  Surveillance gun robot is very useful for governments and law enforcement to maintain social control, recognize and monitor threats, and prevent investigate criminal activity.


Advantages of proposed system:

Ø  Unmanned surveillance.

Ø  Can be used in military services

Ø  Used mainly for industrial security

Ø  Fast response

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