Overview of object detection algorithms using convolutional neural networks

J Ren, Y Wang - Journal of Computer and Communications, 2022 - scirp.org
In today's world, computer vision technology has become a very important direction in the
field of Internet applications. As one of the basic problems of computer vision, object …

A Survey of Industrial AIoT: Opportunities, Challenges, and Directions

KS Awaisi, Q Ye, S Sampalli - IEEE Access, 2024 - ieeexplore.ieee.org
Internet of Things (IoT) is an important technology employed in a variety of different
applications, such as transportation, healthcare, and manufacturing. In recent years, the …

Detection of defects in additively manufactured stainless steel 316L with compact infrared camera and machine learning algorithms

X Zhang, J Saniie, A Heifetz - Jom, 2020 - Springer
Additive manufacturing (AM) is an emerging method for cost-efficient fabrication of nuclear
reactor parts. AM of metallic structures for nuclear energy applications is currently based on …

Klasifikasi Jenis Biji Kopi Menggunkan Convolutional Neural Network dan Transfer Learning pada Model VGG16 dan MobileNetV2

M Murinto, M Rosyda, M Melany - JRST (Jurnal Riset …, 2023 - jurnalnasional.ump.ac.id
Proses pengklasifikasian juga digunakan dalam artificial intelligence (AI), yang merupakan
kecerdasan yang dibuat oleh komputer, sehingga dapat menirukan tindakan seperti halnya …

Efficient face recognition system for education sectors in COVID-19 pandemic

A Balmik, A Kumar, A Nandy - 2021 12th International …, 2021 - ieeexplore.ieee.org
COVID-19 has completely startled the education sectors. Educational organisations are
seeking technological innovations to execute their academic activities smoothly eg online …

[HTML][HTML] Multi-Level Feature Fusion in CNN-Based Human Action Recognition: A Case Study on EfficientNet-B7

P Lueangwitchajaroen, S Watcharapinchai… - Journal of …, 2024 - mdpi.com
Accurate human action recognition is becoming increasingly important across various fields,
including healthcare and self-driving cars. A simple approach to enhance model …

Deep convolutional neural networks applied to ultrasonic images for material texture recognition

X Zhang, B Wang, J Saniie - 2020 IEEE international …, 2020 - ieeexplore.ieee.org
Texture recognition nondestructively by estimating the grain size has been widely used for
the characterization of the physical and structural integrity of materials. As the ultrasonic …

Intrusion Detection System using Raspberry Pi and Telegram Integration

M Zuma, PA Owolawi, V Malele, K Odeyemi… - Proceedings of the …, 2021 - dl.acm.org
Security is of enormous importance in this modern age. The crime rate increases
exponentially, and traditional home surveillance systems are expensive and limited in …

[PDF][PDF] AI Smart Security Camera for Person Detection, Face Recognition, Tracking and Logging

DR Garcia, AA Serna, DS Crespo, X Yu, J Saniie - 2024 - ecasp.ece.iit.edu
Although the surveillance industry is growing due to increased concerns for public safety,
traditional surveillance systems can be ineffective due to fixed positions, limited coverage …

Weapon detection using ML for PPA

N Hashim, D Anto Sahaya Dhas… - Proceedings of Third …, 2022 - Springer
Security is always a top issue in every domain. Computer vision is used extensively in
abnormal detection and monitoring to solve a variety of problems in physical protection …