Vehicle Starter using Face Recognition 
B. V. Subbayamma1, U. Durga Srihitha2, S. Mohini Sekunthala3
1B. V. Subbayamma*, Assistant Professor, Department of ECE, Prasad V. Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, Andhra Pradesh, India.
2U. Durga Srihitha, Department of ECE, Prasad V. Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, Andhra Pradesh, India.
3S. Mohini Sekunthala, Department of ECE, Prasad V. Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, Andhra Pradesh, India.
Manuscript received on May 30, 2020. | Revised Manuscript received on June 08, 2020. | Manuscript published on June 30, 2020. | PP: 711-713 | Volume-9 Issue-5, June 2020. | Retrieval Number: E9621069520/2020©BEIESP | DOI: 10.35940/ijeat.E9621.069520
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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: Face acknowledgment is an interesting exploration subject as of late. The scientists proposed different strategies. The factors are similar to an assortment of lighting up, outward appearance, leveling, and perspective turn of events influences the precision of the face affirmation procedure. The fundamental requirement is the separation of the facial picture and the SURF (Speeded up Robust Features). Notwithstanding that they are additionally halfway invariable to brightening and relative change. This undertaking recommends a facial acknowledgment procedure utilizing SURF highlights and Support Vector Machine (SVM) classifier. The outcomes demonstrate that the proposed technique can prompt high acknowledgment productivity. The proposed framework is applied to vehicle get to control by interfacing the Arduino microcontroller board with PC.
Keywords: SURF, SVM, SIFT, RBF