Intelligent Surveillance System with CNN Algorithm & Machine Learning

Intelligent Surveillance System with CNN Algorithm & Machine Learning
Author(s):
J. Venkata Manoj, M. Naveen, Dr. Om Prakash Yadav
Keywords:
Face Recognition, Centroid tracker, CNN Algorithm, Machine learning.
Abstract
Over decades, with the advent of new technologies into the market, connectivity between people and resources is increasing in an unprecedented scale. Applications started collecting data and devices started exchanging data between themselves to provide us with a comfortable life. However, it also brought certain concerns along with it. Some of the prime concerns are security and data storage. The data is being generated at such an exponential scale that shortage of data storage devices may be imminent. There are various applications in real life where data storage has become a problematic issue. This application of smart surveillance system is focused on reducing data redundancy by using smart human recognition. This paper aims to elaborate the various techniques, which are used to enable this application to mitigate data storage issues by reducing data redundancy.
Article Details
Unique Paper ID: 154669 Publication Volume & Issue: Volume 8, Issue 12 Page(s): 58 - 63
Article Preview & Download

Share This Article

NCSST-2023

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2023

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2023

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org