Multisensor Smart Robot for Border Security Surveillance with Human Action Prediction
N. Vishwanath1, S Perumal Sankar2
1Dr. N. vishwanath, Professor, Computer science engineering, toc h institute of science and technology.India.
2Dr. S Perumal Sankar, Professor, Electronics and communication engineering and dean(pg), toc h institute of science and technology, India.
Manuscript received on 05 September 2019 | Revised Manuscript received on 29 September 2019 | Manuscript Published on 29 June 2020 | PP: 371-376 | Volume-8 Issue-10S2 August 2019 | Retrieval Number: J106608810S19/2019©BEIESP | DOI: 10.35940/ijitee.J1066.08810S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Border surveillance (BS) is the most important task in the field of national defense and security. To maintain the peace and to ensure safety of the borders it needs to kept under 24/7 monitoring. Especially, under the current circumstances, like Illegal immigration, importing, implanting explosive device, terrorist activities are common challenges occur in our country border. To curb such happenings on the border areas, the least that can be done is to provide a continuous monitoring. The edge of a country border spreads to several thousand heaps for which human surveillance is more challenge and may lead to loss of human life. To overcome the problem in this paper a new Wireless Multifunctional Smart Robot for Border Security Surveillance with Real Time Object Recognition (OR) system is introduced the proposed robotics system is based on IOT and OR. This method mechanically senses the interruption form the strangers and sends the photos to the admin that categorized which kind of object is to be capture in the image sensor with the help of Navy biases algorithm the Human action has been detected. The multi-sensor Smart robot is proficient for sensing motion using Passive and also Infrared Sensor, poisonous gas using Gas sensor, fire or blast using Flame Sensor, high temperature using Temperature sensor, Camera for capturing the activities in the border, ultrasonic sensor for detecting any obstacles and GPS is used for tracking the location. Any trespasses, bombs, harmful gases, fire and other dangerous situations are sensed and sent to the server. This system detects the dangerous conditions near the border and saves the life immediately without any loss of human life.
Keywords: Object Recognition (OR), Raspberry pi, Robotics, Surveillance Monitoring and wireless sensor.
Scope of the Article: Image Processing and Pattern Recognition