Face Detection by using Computer Vision and IoT for Security Application.
Vinay Yogendra Mishra1, Ramchand Hablani2
1Vinay Yogendra Mishra, Department of Computer Science, Shri Ramdeobaba college of Engineering, India.
2Dr. Ramchand Hablani, Department of Computer Science, Shri Ramdeobaba college of Engineering, India.
Manuscript received on 08 June 2019 | Revised Manuscript received on 13 June 2019 | Manuscript Published on 08 July 2019 | PP: 258-264 | Volume-8 Issue-8S3 June 2019 | Retrieval Number: H10700688S319/19©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: In Recent years, many supervision methods can monitor the actual time information and detecting the object that is visible in its. Various supervision system working successfully on the market, it must, above all, provide reliable and precise motion detection. Automation of a home is a trending field for security applications. This area has developed new techniques like Internet-of-Thing, computer vision and many more. Raspberry Pi 3 is the first 64bit version and they have inbuilt features of Bluetooth and Wi-Fi and the size is like a debit card was used at this system and the camera is connected by the Raspberry Pi 3. Basically, In IOT the system is connected and controlled the gadgets to a central hub or the “gateways”. The system is controlled by the User interface by the medium of Tablets, Desktop computer, the mobile application either a web Interface. In this study, blend of IOT with Computer vision for detecting the people that are visible to the cameras and it is helpful for us to identify that specific person. Afterward, human identity in the image they detected the face and captured it as an image and sent the image that contains the face and appearance time to the mobile or tablets by using web gateways in the form of TEXT message. At that time the user can check the image and the details verifying the person and they have the control to permit or denied there entrains.
Keywords: Internet-of-Thing (IOT), Computer Vision, Face Detection, Raspberry PI 3, Web Gateways.
Scope of the Article: Internet of Things