Design and Implementation of Various Algorithms for Automated Baggage Detection System in Airports for Safety

Conference: International Conference on Signal, Image Processing Communication and Automation
Author(s): Kishan K K, K.V.Mahendra Prashanth Year: 2017
Grenze ID: 02.ICSIPCA.2017.1.21 Page: 128-135

Abstract

Aviation is one of the major means of transportation and baggage handling system at airport is also one of the major security issues. Security is the state of not being menacing, particularly palpably, mentally and vehemently or fiscally. Security is something that assures safety. It is an association or sector in charge of giving security by authorizing laws, standards and controls and in addition looking after request. There are several reasons for our luggage gets lost in transit. Lost during a transfer and missed connection, ticketing errors, bag switches or security issues, postponed because of airplane terminals, tariffs, climate or space/weight restrictions, and failure due to paraphernalia or botching luggages at ingress station, tagging error. To avoid the chances of the checked bag getting mishandled or may be lost for security reasons, solutions using automation has to be implemented. The paper describes the Design and implementation of various algorith ms for automated baggage detection system in airports for safety. Different approaches and methodologies are implemented in order to overcome the baggage mishandling issue. Raspberry Pi module is used to achieve the desired objective. To achieve the complete automation of this process, PiCamera, Web camera, LEDs, Buzzers are interfaced with Raspberry Pi module. Image comparison and correlation gives a strong input to understand if there were any changes in the area under observation. Modern prototyping boards and camera support to quickly prototype basic image processing concepts. Mean Square Error (MSE) along with Structural Similarity Index (SSIM) methods was utilized to gauge likeness between the baggage pictures. The programming language used is Python. The results obtained from the algorithms were impressive.

<< BACK

ICSIPCA - 2017