Redirigiendo al acceso original de articulo en 22 segundos...
ARTÍCULO
TITULO

Innovative Region Convolutional Neural Network Algorithm for Object Identification

Yurika Permanasari    
Budi Nurani Ruchjana    
Setiawan Hadi and Juli Rejito    

Resumen

Object identification is a part of the field of computer science, namely, image processing, whose research continues to innovate. Object identification describes an object based on the main characteristics of the object. Many research innovations related to object identification have been carried out to obtain optimal identification results. The convolutional neural network (CNN) is one of the algorithms that is widely used by researchers in the field of object identification or object recognition in digital images. The purpose of this study was to analyze the development of object identification in the search for the best algorithm in terms of the speed and efficiency of identification. The article data used were obtained from several sources, namely, Dimensions AI, Science Direct, and Google Scholar. The database search results obtained 1041 articles in the form of publications from 2010?2021. Through a systematic literature review based on the articles obtained, 32 articles were selected. The evaluation of the articles was carried out in the form of article data visualization, object identification algorithm development, and the research objects used. CNN?s research innovation is growing rapidly, with improvements being made to the identification techniques in its algorithmic architecture. The use of the CNN algorithm in the identification of image objects, starting with the region CNN technique, is improved with Fast R-CNN, Faster-CNN, and Mask R-CNN. The object of research has developed from facial recognition and the identification of moving images to the introduction of ancient manuscripts that are useful for the development of history and tourism. The successful identification of ancient scripted texts will greatly assist the availability of such manuscripts in a digital format, which allows for further multidisciplinary research. The availability of ancient manuscripts in a digital format also helps the government to preserve culture and increase people?s understanding of the culture they have.

 Artículos similares

       
 
Izabela Maria Burda and Lucyna Nyka    
Waterfront areas in cities are subject to constant changes. The desire to integrate the transformed waterside areas with the urban fabric involves shaping high-quality public spaces related to water, which are often referred to as urban blue spaces (UBS)... ver más
Revista: Water

 
Muhammad Umer Masood, Saif Haider, Muhammad Rashid, Muhammad Usama Khan Lodhi, Chaitanya B. Pande, Fahad Alshehri, Kaywan Othman Ahmed, Miklas Scholz and Saad Sh. Sammen    
The El Nino Southern Oscillation (ENSO) phenomenon is devastating as it negatively impacts global climatic conditions, which can cause extreme events, including floods and droughts, which are harmful to the region?s economy. Pakistan is also considered o... ver más
Revista: Water

 
Petr Korusenko, Ksenia Kharisova, Egor Knyazev, Oleg Levin, Alexander Vinogradov and Elena Alekseeva    
In this study, we present an innovative ion-beam doping technique for the controlled modification of the near-surface region of multi-walled carbon nanotubes (MWCNTs) aimed at creating pyridinic and pyrrolic nitrogen defects in their walls. This method i... ver más
Revista: Applied Sciences

 
Tian Xie, Weiping Ding, Jinbao Zhang, Xusen Wan and Jiehua Wang    
The discipline of automatic image captioning represents an integration of two pivotal branches of artificial intelligence, namely computer vision (CV) and natural language processing (NLP). The principal functionality of this technology lies in transmuti... ver más
Revista: Applied Sciences

 
Mohammed Chekroun, Youssef Mourchid, Igor Bessières and Alain Lalande    
The advent of the 0.35 T MR-Linac (MRIdian, ViewRay) system in radiation therapy allows precise tumor targeting for moving lesions. However, the lack of an automatic volume segmentation function in the MR-Linac?s treatment planning system poses a challen... ver más
Revista: Algorithms