Embedded Video Processing on Raspberry Pi
T Anuradha1, S Monika2, S V S Prasad3
1T Anuradha, Assistant Professor, Department of Electronics and Communication Engineering, MLR Institute of Technology, Hyderabad, Telangana, India.
2S Monika, Assistant Professor, Department of Electronics and Communication Engineering, MLR Institute of Technology, Hyderabad, Telangana, India.
3S V S Prasad, Professor, Department of Electronics and Communication Engineering, MLR Institute of Technology, Hyderabad, Telangana, India.
Manuscript received on 05 March 2019 | Revised Manuscript received on 12 March 2019 | Manuscript Published on 20 March 2019 | PP: 312-315 | Volume-8 Issue- 4S2 March 2019 | Retrieval Number: D1S0070028419/2019©BEIESP
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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: The paper focuses on the study of the methods existing in the present scenario for detection of motion and faces using various algorithms and discuss about their area of application by implementing with the help of on the on-board miniature Raspberry Pi. Open CV functions are optimized to the specific platform and can be further used as a surveillance system which is embedded on the computer. The paper also focuses on hand detection using a trained custom classifier.
Keywords: Raspberry Pi, USB Camera, Open C.
Scope of the Article: Communication