Loading

Smart Storage with the Internet of Things and Voice Recognition
B. Muthu Senthil1, V. Dhanakoti2, Sabarish. J3, Sonali. S4

1B. Muthu Senthil, Department of Computer Science & Engineering, SRM Valliammai Engineering College, Chennai, India.
2V. Dhanakoti, Department of Computer Science & Engineering, SRM Valliammai Engineering College, Chennai, India.
3Sabarish. J, Department of Computer Science & Engineering, SRM Valliammai Engineering College, Chennai, India.
4Sonali. S, Department of Computer Science & Engineering, SRM Valliammai Engineering College, Chennai, India.
Manuscript received on November 22, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 4348-4352 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B4947129219/2019©BEIESP | DOI: 10.35940/ijeat.B4947.129219
Open Access | Ethics and Policies | Cite | Mendeley
© 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 the era of automation ruling the world by coming into each and every field, now it has entered into the field of Storage. Automation has reduced the time complexity and the manual power in the entire field it has intruded. And likewise it will reduce the time complexity and tracking of the stored items and retrieving the same from the storage. This model of storage can be done with the help of Internet of Things, Cloud computing and machine learning. Cloud computing plays a major role due to its robustness and its portability which does give an extra edge in the business. To survive in business today you need to make smart choices. Storage can be a small business savior. This model can be used in many fields like medicine, business etc. Tracking and retrieving in these large amounts of storage can be made easier with the help of database.
Keywords: Automation, Storage, Internet of Things, Machine learning, Cloud Computing & Datasets.