ISSN No:2250-3676 ----- Crossref DOI Prefix: 10.64771
   Email: ijesatj@gmail.com,   

Scholarly Peer Reviewed and Fully Referred Open Access Multidisciplinary Monthly Research Journal


    AIRPORT SECURITY WITH PROXIMITY SENSOR FOR BOMB DETECTION

    Mr.S.Srinivasa Reddy,Shaik Nowsheen Begum

    Author

    ID: 1920

    DOI:

    Abstract :

    Explosive Material Detection Considers The Identification And Classification Of Explosive Materials Using Techniques From Traditional Sniffer Dogs To Cutting-edge Sensing Technology Like Thermal Imaging, X-ray Scanners, And Chemical Sensors. Explosive Detection Is Applied In Various Locations, Including Airports, Government Buildings, And Public Areas, To Prevent Terrorist Attacks And Criminal Actions That Attempt To Employ Explosive Devices. The Effectiveness Of These Procedures Is Dependent On The Detection Materials, Equipment, And Environment, So New Techniques Are Continuously Explored To Increase Precision, Sensitivity, And Detection Speed. Because Explosive Substances Present A Critical Risk To Infrastructure, Security, And Public Safety, Extensive Analysis Of Existing Detection Methods Is Needed. This Paper Highlights Key Areas For Further Research And Development In Explosive Materials Detection By Addressing Identified Limitations And Challenges. Specifically, Advancements In Technology, Interdisciplinary Collaboration, And The Integration Of AI Techniques Offer Significant Opportunities For Improving Detection Accuracy, Reducing False Positives, And Ensuring Safer Environments For Individuals And Society.

    Published:

    22-12-2025

    Issue:

    Vol. 25 No. 12 (2025)


    Page Nos:

    431-439


    Section:

    Articles

    License:

    This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

    How to Cite

    Mr.S.Srinivasa Reddy,Shaik Nowsheen Begum , AIRPORT SECURITY WITH PROXIMITY SENSOR FOR BOMB DETECTION , 2025, International Journal of Engineering Sciences and Advanced Technology, 25(12), Page 431-439, ISSN No: 2250-3676.

    DOI: