Ariot: Augmented Reality Using Fiducial Markers and Image Recognition For Wireless Triggering of Internet of Things Devices
Ashirbad Sahu1, Karan Samani2, R. Rajkumar3
1Ashirbad Sahu, Department of CSE, SRM Institute of Science and Technology, Kattankulathur, Chennai (Tamil Nadu), India.
2Karan Samani, Department of CSE, SRM Institute of Science and Technology, Kattankulathur, Chennai (Tamil Nadu), India.
3R. Rajkumar, Professor, Department of CSE, SRM Institute of Science and Technology, Kattankulathur, Chennai (Tamil Nadu), India.
Manuscript received on 22 April 2019 | Revised Manuscript received on 01 May 2019 | Manuscript Published on 07 May 2019 | PP: 65-70 | Volume-7 Issue-6S3 April 2019 | Retrieval Number: F1014376S19/2019©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© 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: This paper refers to the simplified yet effective idea under Soft-Computing domain for wireless triggering, switching and regulation of devices remotely in a completely new approach. It involves the simple and convenient application of a mobile camera with or without a HMD (Head Mounting Device) headset which can be used to instantly recognize a trained set of household electronic devices and those under similar categories to switch it on/off or have extensive regulatory controls. It will involve the usage of a multitude of platforms both from the computing and electronics domains to design a feasible working model to be made available at the disposal for a common man targeting convenience of home automation directly from his/her mobile camera. It aims towards enhancement of applicability in day to day scenarios to a further control of industrial applications in future scopes of improvement. Augmented Reality, Internet of Things, Embedded Systems, Wireless Sensors, Image recognition, Wireless Controllers. IoT usage is implemented in near field regions and in further scope implemented over the cloud as well. The recognition of the devices can occur in real-time based on the python coding platform as per the training set which is pre-fed for training the object model or it can be used for low latency devices like mobile phones directly and portably using Vuforia for mapping certain fiducial markers to particular objects that opens up its control when the identity icon matches.
Keywords: Augmented Reality, IoT – Internet of Things, HMD – Head Mounted Device, Node MCU-Main Wi-Fi Board, HC05-Bluetooth Module.
Scope of the Article: Internet of Things