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Title: :  REAL-TIME FACE DETECTION AND SECURITY SYSTEM FOR ATM MACHINE
PaperId: :  23332
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-23332
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Mr. Rahul FereSiddhant College of engineering, Pune.
Miss Pallavi BangarSiddhant College of engineering, Pune.
Mr. Dinesh NikamSiddhant College of engineering, Pune.
Mr. Akhil NaikareSiddhant College of engineering, Pune.
Dr. Bijendra GuptaSiddhant College of engineering, Pune.

Abstract

Information Technology
Computer Vision, Object detection, Face detection, Image processing, machine learning, openface, facenet, human detection
Face recognition play a vital role in variety of applications from biometrics, surveil-lance, security, identification to the authentication. In this paper we design and implement a Bank locker security system where access people whose faces are available in the training database. First, we are going to detect the face by de- testing the human motion. Then face recognition is performed to determine the authority of the person to enter the sensitive area. At the same time, we track the coordinate of detected motion. Failing to recognize the face finally passes the estimated coordinate to anesthetic gun for targeting the intruder automatically. Experimental results demonstrate the effectiveness of proposed Bank locker security system in order to restrict the unauthorized access and enhanced reliability by use of Liveness face recognition. Human face detection is the most promising field of image processing that hasa vast area of research oriented real life applications. In the real world the concept is widely used for the content annotation, access control, profiling and potential discrimination in the web world.. It has been extensively adopted by the applications including biometrics, surveillance, security, identification, and authentication. Face recognition usually exploit high-dimensional information which makes it computationally intensive. Face plays a big role in conveying identity and emotion, being the primary focusof attention in social life. Also, familiar faces can be identified at a glance even after years of separation. Computational model of face recognition can be applied to criminal identification, security systems, image and film processing and human computer interaction. The Psychological process of locating the human face in the visual frame is also possible. It is also categorized as a special case of object class detection. This project introduces an innovative solution to enhance ATM security using machine learning technology. By implementing a real-time face detection and recognition system, we aim to significantly reduce the risk of unauthorized access and fraudulent activities at ATMs.

Citations

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IJARIIE Mr. Rahul Fere, Miss Pallavi Bangar, Mr. Dinesh Nikam, Mr. Akhil Naikare, and Dr. Bijendra Gupta. "REAL-TIME FACE DETECTION AND SECURITY SYSTEM FOR ATM MACHINE" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 4070-4076
MLA Mr. Rahul Fere, Miss Pallavi Bangar, Mr. Dinesh Nikam, Mr. Akhil Naikare, and Dr. Bijendra Gupta. "REAL-TIME FACE DETECTION AND SECURITY SYSTEM FOR ATM MACHINE." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 4070-4076.
APA Mr. Rahul Fere, Miss Pallavi Bangar, Mr. Dinesh Nikam, Mr. Akhil Naikare, & Dr. Bijendra Gupta. (2024). REAL-TIME FACE DETECTION AND SECURITY SYSTEM FOR ATM MACHINE. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 4070-4076.
Chicago Mr. Rahul Fere, Miss Pallavi Bangar, Mr. Dinesh Nikam, Mr. Akhil Naikare, and Dr. Bijendra Gupta. "REAL-TIME FACE DETECTION AND SECURITY SYSTEM FOR ATM MACHINE." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 4070-4076.
Oxford Mr. Rahul Fere, Miss Pallavi Bangar, Mr. Dinesh Nikam, Mr. Akhil Naikare, and Dr. Bijendra Gupta. 'REAL-TIME FACE DETECTION AND SECURITY SYSTEM FOR ATM MACHINE', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 4070-4076. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/REAL_TIME_FACE_DETECTION_AND_SECURITY_SYSTEM_FOR_ATM_MACHINE_ijariie23332.pdf (Accessed : ).
Harvard Mr. Rahul Fere, Miss Pallavi Bangar, Mr. Dinesh Nikam, Mr. Akhil Naikare, and Dr. Bijendra Gupta. (2024) 'REAL-TIME FACE DETECTION AND SECURITY SYSTEM FOR ATM MACHINE', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 4070-4076IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/REAL_TIME_FACE_DETECTION_AND_SECURITY_SYSTEM_FOR_ATM_MACHINE_ijariie23332.pdf (Accessed : )
IEEE Mr. Rahul Fere, Miss Pallavi Bangar, Mr. Dinesh Nikam, Mr. Akhil Naikare, and Dr. Bijendra Gupta, "REAL-TIME FACE DETECTION AND SECURITY SYSTEM FOR ATM MACHINE," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 4070-4076, Mar-App 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/REAL_TIME_FACE_DETECTION_AND_SECURITY_SYSTEM_FOR_ATM_MACHINE_ijariie23332.pdf [Accessed : ].
Turabian Mr. Rahul Fere, Miss Pallavi Bangar, Mr. Dinesh Nikam, Mr. Akhil Naikare, and Dr. Bijendra Gupta. "REAL-TIME FACE DETECTION AND SECURITY SYSTEM FOR ATM MACHINE." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 ().
Vancouver Mr. Rahul Fere, Miss Pallavi Bangar, Mr. Dinesh Nikam, Mr. Akhil Naikare, and Dr. Bijendra Gupta. REAL-TIME FACE DETECTION AND SECURITY SYSTEM FOR ATM MACHINE. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(2) : 4070-4076. Available from: https://ijariie.com/AdminUploadPdf/REAL_TIME_FACE_DETECTION_AND_SECURITY_SYSTEM_FOR_ATM_MACHINE_ijariie23332.pdf
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