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Conversational Artificial Intelligence
book

Conversational Artificial Intelligence

by Romil Rawat, Rajesh Kumar Chakrawarti, Sanjaya Kumar Sarangi, Anand Rajavat, Mary Sowjanya Alamanda, Kotagiri Srividya, K. Sakthidasan Sankaran
March 2024
Intermediate to advanced content levelIntermediate to advanced
800 pages
28h 48m
English
Wiley-Scrivener
Content preview from Conversational Artificial Intelligence

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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Publisher Resources

ISBN: 9781394200566Purchase Link