Surveillance using Face Recognition in Smart Cities
A. Balamurugan1, N. Gowtham2, U. Atchara3, M. Kannan4, R. Bharani Prasad5
1A.Balamurugan*, Professor & Head Department of Computer Science & Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India.
2N. Gowtham, Department of Computer Science & Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India.
3U. Atchara, Department of Computer Science & Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India.
4M. Kannan, Department of Computer Science & Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India.
5R. Bharani Prasad, Department of Computer Science & Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 26, 2020. | Manuscript published on April 10, 2020. | PP: 2042-2047 | Volume-9 Issue-6, April 2020. | Retrieval Number: F3582049620/2020©BEIESP | DOI: 10.35940/ijitee.F3582.049620
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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: In this project safe city demonstrates how the security in India can be increased with the help of video surveillance using facial recognition. In the Aadhar Card database, the Indian Government has stored fingerprint and Iris details of every civilian in India. But the Indian Government is only using the Fingerprint details in the voting system to avoid fake votes. With the help of this project any person roaming in the city limit can be easily monitored. This will be a very useful technology for the Police Department of India to track the criminals and to reduce crime rate. Whenever a person or criminal is needed to be traced , the photo of the target is uploaded into the software. The uploaded photo will be cross-checked by the software with the videos captured from the surveillance cameras. It will then identify the person based on the percentage of accuracy to be matched. In the past 5 years Indian Government have made many cities into smart cities. But now it’s time to build safe cities for India.
Keywords: Eigenface, Face Recognition, TensorFlow, Computer Vision, Surveillance.
Scope of the Article: Machine Learning