학술논문

Security Lock with Effective Verification Traits
Document Type
Conference
Source
2019 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Computational Intelligence and Knowledge Economy (ICCIKE), 2019 International Conference on. :164-169 Dec, 2019
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
Robotics and Control Systems
Transportation
Password
Veins
Fingerprint recognition
Feature extraction
Face recognition
Cameras
security
multi-layer
smart box
Linux
machine learning
Viola and Jones
recognition
tensorflow
Language
Abstract
To manage and handle the issues of physical security in the modern world, there is a dire need for a multilevel security system to ensure the safety of precious belongings that could be money, military equipment or medical life-saving drugs. Security locker solution is proposed which is a multiple layer security system consisting of various levels of authentication. In most cases, only relevant persons should have access to their precious belongings. The unlocking of the box is only possible when all of the security levels are successfully cleared. The five levels of security include entering of password on interactive GUI, thumbprint, facial recognition, speech pattern recognition, and vein pattern recognition. This project is unique and effective in a sense that it incorporates five levels of security in a single prototype with the use of cost-effective equipment. Assessing our security system, it is seen that security is increased many a fold as it is near to impossible to breach all these five levels of security. The Raspberry Pi microcomputers, handling all the traits efficiently and smartly makes it easy for performing all the verification tasks. The traits used involves checking, training and verifying processes with application of machine learning operations.