21Conversational Chatbot With Object Recognition Using Deep Learning and Machine Learning
A. Mahesh Babu1*, Malik Jawarneh2, José Luis Arias-Gonzáles3, Meenakshi4, Kishori Kasat5 and K.P. Yuvaraj6
1Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Hyderabad, India
2Faculty of Computing Sciences, Gulf College, Al-Khuwair, Oman
3Department of Business, University of British Columbia, Lima, Peru
4School of Journalism & Mass Communication, Apeejay Stya University Sohna Haryana, Gurugram, India
5Computer Studies Department, Symbiosis School for Liberal Arts, Symbiosis International (Deemed University), Pune, India
6Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India
Abstract
In the field of computer vision, the identification of an object offers evolving and challenging difficulties. Visual object identification is a common and automatic biological visual function for humans, but it is challenging for computers. Object recognition is a significant difficulty in computer vision because of the substantial diversity in images of objects in the same class under different viewing conditions. Object recognition has a wide range of uses, including in the fields of biometrics, defense, robotics, visual surveillance, and driving assistance. This article presents a chatbot framework for object detection. This proposed framework makes use of image processing and deep learning techniques. Three classification techniques—support ...
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