Applications of artificial intelligence and machine learning in image processing

P Xu, J Wang, Y Jiang, X Gong - Frontiers in Materials, 2024 - frontiersin.org
Introduction With the rapid development of artificial intelligence and machine learning
technology, image processing technology based on artificial intelligence and machine …

Deep hybrid architecture for suspicious action detection in video Surveillance

MH Wani, AR Faridi - 2023 3rd International conference on …, 2023 - ieeexplore.ieee.org
For Ensuring safety for the public and their property, detection of suspicious actions from
video surveillance is an important application in the rapid development of computer vision …

Local Binary Pattern and Principal Component Analysis for Low-light Face Recognition

SL Masyitoh, K Ma'ruf… - 2024 11th International …, 2024 - ieeexplore.ieee.org
Facial recognition technology allows both the government and the general public to identify
individuals based on their facial features, even in cases of significant changes. However …

YOLOv3-based human detection and heuristically modified-LSTM for abnormal human activities detection in ATM machine

AP Kshirsagar, H Azath - Journal of Visual Communication and Image …, 2023 - Elsevier
In existing works, accurately analyzing human activities is a complicated problem in public
places. Consequently, the detection of human activities becomes challenging the computer …

Real-time intelligent image processing for security applications

A Singh, P Li, KK Singh, V Saravana - Journal of Real-Time Image …, 2021 - Springer
The advent of machine learning techniques and image processing techniques has led to
new research opportunities in this area. Machine learning has enabled automatic extraction …

Suspicious Activity Monitoring System Using YOLOv5

P Kushwaha, MK Murmu - 2024 15th International Conference …, 2024 - ieeexplore.ieee.org
In today's digital age, effective surveillance and anomaly detection systems are crucial.
YOLOv5, a cutting-edge real-time object detection model that stands out for its remarkable …

A deep learning framework to identify abnormal activity in closed space

R Chaudhary, M Kumar - AIP Conference Proceedings, 2024 - pubs.aip.org
In today's world its getting common to have security breaches in closed and restricted activity
areas like ATM's and banks. this framework has been proposed to get over with these …

Anomalous Behavior Detection in ATM using Different Methodologies: A Review

H Thakre, K Bhushanwar, A Patel - 2024 3rd International …, 2024 - ieeexplore.ieee.org
The necessity for standardized anomaly detection systems in financial transactions is driven
by the alarming increase in ATM fraud and criminal activities. Many techniques for detecting …

[PDF][PDF] Advancements in ATM Security for Movement and Tampering Detection: A Review

S Degadwala, PT Bharatbhai - 2024 - academia.edu
Advancements in ATM security have become critical due to rising incidents of theft and
vandalism. This review aims to evaluate the current state of movement and tampering …

Stress & Emotion Recognition Using Sentiment Analysis With Brain Signal

AA Bamanikar, RV Patil, LV Patil - 2022 IEEE 2nd International …, 2022 - ieeexplore.ieee.org
Stress, in common parlance, is the negative emotional state that arises when people feel
overwhelmed by their responsibilities and cannot successfully do their daily tasks. There …