Abstract

Abstract One of the most difficult tasks in all countries is to monitor the security of international borders. Border security forces have no ability for monitoring long borders all the time and in all seasons. Robots can be used to detect intruders at the borders and then transmit the information to the control center. In hostile environment, various high-risk tasks are performed excellently via robots, whereas it might cause danger to soldiers. In this work, the major aim is to suggested a design for surveillance system in terms of monitoring the security of international borders. The suggested design consists of an automated vehicle with a monitoring system on the basis of face recognition and detection algorithms, the human’s presence is checked via the system which after that runs the algorithm for face recognition. In the case when the identified person’s face data doesn’t match the already-stored soldiers’ personal data, then the person will be recognized by the system as intruder and the system will send a message to the central control. Through the comparison tables for previous work, we suggest using HAAR algorithm for face detection and CNN algorithm for recognition by the use of raspberry pi and open-cv library. By studying a variety of monitoring technologies which involves the development of many robots with the use of raspberry-pi technology, the paper reports that all approaches are attempting to provide better results regarding the quality of video transmission and attempt to enhance the effectiveness with regard to the time spent on video transmission and face detection algorithm.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call