Gsm Based Face Recognition using Pir Sensor on Raspberry Pi 3
G Rakesh1, Padmavathi Kora2, K Swaraja3, K Meenakshi4, G Karuna5
1G. Rakesh*, M Tech Scholar, Department of ECE, GRIET, Hyderabad, India.
2Padmavathi Kora, Professor, Department of ECE, GRIET, Hyderabad, India.
3K. Swaraja, Department of ECE, GRIET, Hyderabad, India.
4K. Meenakshi, Professor, Department of ECE, GRIET, Hyderabad, India.
5G. Karuna, Professor, Department of CSE, GRIET, Hyderabad, India.
Manuscript received on September 17, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 329-332 | Volume-8 Issue-12, October 2019. | Retrieval Number: L35181081219/2019©BEIESP | DOI: 10.35940/ijitee.L3581.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: We Developed An Associate Approach To The Detection And Identification Of Human Faces And Describe A Operating, Near-Real-Time Face Recognition System That Tracks A Subject’s Face And So Acknowledges The Person By Comparison Characteristics Of The Face To Database. Our Approach Treats Face Recognition As A Two-Dimensional Recognition Downside, Taking Advantage Of The Very Fact That Faces Area Unit Area Unit Normally Upright And Therefore Is Also Delineate By A Small Set Of 2-D Characteristic Views. Face Pictures Are Projected Onto A Feature Area (“Face Space”) That Best Encodes The Variation Among Database Images. The Face Area Is Outlined By The “Eigenfaces”, That Area Unit The Eigenvectors Of The Set Of Faces; They Do Not Essentially Correspond To Isolated Options Like Eyes, Ears, And Noses. The Framework Provides The Flexibility To Be Told To Acknowledge New Faces.
Keywords: Raspberry pi3, PIR Sensor, Face Recognition, GSM Module, Embedded System
Scope of the Article: Pattern Recognition