Evolving Artificial Perception by Integrating Nlp and Cv
M. Prabu1, Mohammed Saif2, P Naveen Barathi3, Kailash Venthan4
1M. Prabu, Assistant Professor Department of Computer Science, Srm Institute of Science and Technology, Ramapuram.
2Mohammed Saif, B. Tech, Department of Computer Science, Srm Institute of Science and Technology, Ramapuram.
3P Naveen Barathi, B. Tech Department of Computer Science, Srm Institute of Science and Technology, Ramapuram.
4Kailash Venthan, B. Tech Department of Computer Science, Srm Institute of Science and Technology, Ramapuram.
Manuscript received on November 20, 2019. | Revised Manuscript received on November 26, 2019. | Manuscript published on 30 November, 2019. | PP: 3656-3659 | Volume-8 Issue-4, November 2019. | Retrieval Number: D7867118419/2019©BEIESP | DOI: 10.35940/ijrte.D7867.118419
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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: This paper discusses the concept of integrating artificial perception of an artificial intelligence by integrating NLP and CV, this should be able to solve 50% of problems where the data is usually in a raw format and not understandable by the machine. This method helps in the automatic labelling and understanding the data so it is easier for the machine to understand and help in our day to day tasks. “Perception is the ability to become aware of something which is internal or in the external environment through the use of the 5 senses” this is a natural capability of humans but has never properly been achieved in a machine. In the past five years massive strides have taken place in both natural language processing and computer vision but none of these advancements have increased the intelligence and perception of computer systems in the dramatic way that was expected. This difference in what was expected and what has finally been delivered is due to the fact that both these fields have evolved separately whereas perception requires these two dimensions of hearing (Natural Language Processing) and vision (Computer Vision) to be integrated.
Keywords: Computer Vision. Data Labelling, Image Captioning, Natural Language Processing, YOLO (You Only Look Once) Algorithm.
Scope of the Article: Natural Language Processing.