Human Identification in Smart Home Environment 
S. Shakthi Priya Dharshini1, A. Umamakeswari2
1S.Shakthi Priya Dharshini, Department of Computing, SASTRA Deemed University, Thanjavur (Tamil Nadu), India.
2A.Umamakeswari, Department of Computing, SASTRA Deemed University, Thanjavur (Tamil Nadu), India.
Manuscript received on 25 August 2019 | Revised Manuscript received on 01 September 2019 | Manuscript Published on 14 September 2019 | PP: 58-62 | Volume-8 Issue-5S3, July 2019 | Retrieval Number: E10150785S319/19©BEIESP | DOI: 10.35940/ijeat.E1015.0785S319
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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: People moved their life as automatic systems, like smart home. But here major issues is security, the sensitive personal information have been raised the privacy concerns such as (modifying the data, unauthorized access of data) among peoples would like to share their personal information are only utilized for their benefits, rather than being utilized for malignant purpose. Person Identification in smart home with real time is the major challenging in monitoring system. Capturing the still and live images with high efficiency is the complex task. This system provides the efficiency in higher rate with quick response. Data are lively gathered and lively compared with the data, so the process is undergoing the HAAR and the Convolutional Neural Network (CNN). Capturing and labeling the images is done with the live processing then the live video processing is taken the frames of images. So, the data are not stored for long time, and compared the still and live frames in the known frame databases it matches the features and notify the system with two categories as known and unknown.
Keywords: Human Classification, Face Recognition, HAAR Cascade, CNN, Person Re-Identification.
Scope of the Article: Smart Grid Communications