The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.
Computer vision is the field of artificial intelligence concerned with enabling computers to interpret and extract information from visual data such as images and video. Core tasks include image classification, object detection and localization, semantic and instance segmentation, facial recognition, and optical character recognition. Early approaches relied on hand-crafted feature descriptors combined with classical machine learning classifiers; current computer vision is dominated by convolutional neural networks and, increasingly, vision transformer architectures trained on large annotated image datasets. A notable 2026 development is the shift toward foundation models that displace task-specific training for many commercial applications, alongside growing use of agentic vision systems moving from research into operational deployment. Computer vision supports applications including autonomous vehicle perception, medical image analysis, industrial quality inspection, surveillance and security systems, and augmented reality. As an open-access computer vision journal, IJACSA publishes research on computer vision algorithms, model architectures, and applied vision systems evaluated on standard and domain-specific image datasets.
Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed September 2026
This study addresses the critical challenge of distinguishing Unmanned Aerial Vehicles (UAVs) from birds in real-time for airspace security in both military and civilian contexts. As UAVs become increasingly common, adva…
Object detection in aerial images is gradually gaining wide attention and application. However, given the prevalence of numerous small objects in the Unmanned Aerial Vehicle (UAV) aerial images, the extraction of superio…
This research proposes a continuous remote biometric user authentication system implemented with a face recognition model pre-trained on face images. This work develops an algorithm combining the Hybrid Block Overlapping…
Air conditioning has become indispensable for maintaining human comfort, especially during hot weather, as people rely on it to stay cool indoors. However, the long-term and uncontrolled use of air conditioners has signi…
With the continuous development of digital technology, traditional lung computed tomography medical image processing has problems such as complex images, small sample data, and similar symptoms between diseases. How to e…
Automatic emotion recognition technology through facial expressions has broad potential, ranging from human-computer interaction to stress detection and blood pressure assessment. Facial expressions exhibit patterns and…
With the popularization of computer technology, the combination of artificial intelligence and image processing technology has become a research hotspot in the visual communication. Image processing technology mostly inv…
Leaf diseases pose a significant challenge to rice productivity, which is critical as rice is a staple food for over half of the world's population and a major agricultural commodity. These diseases can lead to severe ec…
Deep learning technology has promoted the rapid development of visual object tracking, among which algorithms based on twin networks are a hot research direction. Although this method has broad application prospects, its…
Traffic light and road sign violations significantly contribute to traffic accidents, particularly at intersections in high-density urban areas. To address these challenges, this research focuses on enhancing the accurac…
