Reshaping Intelligent Business and Industry

2Video Analytics Using Deep Learning Models

SANJEEV KUMAR BHATT, S. SRINIVASAN

Department of Computer Application, PDM University, India

Email: [e-mail], [e-mail]

Abstract

Real-time video analytics and deep learning models have the most anticipated and adopted use cases for smart cities and intelligent transportation, thanks to recent breakthroughs in artificial intelligence and the internet of things. In contrast, standard computer vision models rely on flat offline data streams and lack real-time analytics. A recent breakthrough in deep learning models has revolutionized how a large volume of raw video and audio data is processed in computer vision using various deep learning models. So, these models have led the way in using video analytics solutions across multiple industries, including object identification, face recognization, surveillance, security in smart cities, smart homes, and industrial IoT. This chapter will explore how deep learning models, edge computing, and cloud technologies are used along with the computer vision model to solve video analytics solutions across various industries.

Keywords: Deep learning, artificial intelligence, video analytics, IoT, CNN, ANN, RNN, neural network, tracking

2.1 Introduction

Even though IoT system devices were deployed as early as 2005 in oil and manufacturing industries and surveillance, the true potential of these implementations was not realized due to non-scalable and highly inefficient closed ...