Conversational Chatbot With Object Recognition Using Deep Learning and Machine Learning
A. Mahesh Babu, Malik Mustafa Mohammad Jawarneh, José Luis Arias‐Gonzáles, Meenakshi Meenakshi, Kishori Kasat, K.P. Yuvaraj · 2024
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 vector machine, AdaBoost, and convolutional neural network (CNN)—are used in the proposed framework. COCO dataset is used to perform experiments. The experimental results have shown that the CNN algorithm is providing the best results in object detection.