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104 articles for “Vision System”
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HypothesisOpen accessIn the keywordsReal-Time Automatic Inspection System for the Classification of PCB Flux DefectsAng Teoh Ong, Aouache Mustapha, Zulkifilie Bin Ibrahim et al.Automatic inspection based on a real-time machine vision system may serve as substitute for the manual human visual inspection of flux defects in Printed Circuit Boards (PCBs), which often cause damage on the board in the form of corrosions that harm the assembly. The concept of automatic inspection contributes to the improvement of the manufacturing quality of PCBs and facilitates … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 4 · 25 Aug 2015 · 8,712 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDeep Transfer Learning Approach for Student Attendance System During the COVID-19 PandemicSlimane Ennajar, Walid BouarifiMarking students' attendance has been a challenge during the COVID-19 pandemic. It is a time-consuming task due to the abnormally high number of students present during a learning session; many studies have been proposed to improve the system. However, there are still issues with each of these systems; we have employed deep transfer learning techniques using six pre-trained convolutional neural … …Journal of Computer Science, Vol. 20, Issue 3 · 16 Jan 2024 · 6,018 accessesView PDFCite
Review ArticleOpen accessIn the keywordsA Systematic Review of Artificial Intelligence and Deep Learning Approaches for Cocoa Pod Disease DetectionHenry Techie-Menson, Michael Asante, Yaw Marfo Missah et al.Cocoa pod diseases destroy an estimated 700,000 metric tons of cocoa annually, threatening 40–50 million smallholder farmers across tropical regions. Accurate field diagnosis remains constrained by symptom similarity, labour-intensive scouting, and limited specialist access in remote communities. This paper presents a PRISMA-guided systematic review of 25 peer-reviewed studies on automated cocoa pod disease detection and classification (2016–2026), addressing architectural approaches, … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Sep 2026 · 743 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHead Gesture Analysis using Matrix Group Displacement AlgorithmMahmoud Z. IskandaraniA novel algorithm for head gestures interpretation is designed and tested. The designed system carries out gesture detection and recognition using the MGDA algorithm, which implements random sampling and importance sampling, such technique can track head poses and estimate head positions. Problem statement: Head position is an important indicator of a person’s focus of attention, which can be used as … …Journal of Computer Science, Vol. 6, Issue 11 · 23 Oct 2010 · 7,251 accessesView PDFCite
Research ArticleOpen accessIn the abstractRIA-ViT: A Residual Inception Atrous Vision Transformer for Detection of Gallbladder Cancer from CT ImagesAbhishek Sehrawat, Anita Gupta, Vishnupriya, Varun P. GopiGallbladder Cancer (GBC) is a rare but highly aggressive malignancy of the biliary system. In early-stage gallbladder cancer, there are neither overt symptoms nor specific signs. In most patients, it is diagnosed late, resulting in poor outcomes. Even when imaging is available, diagnosing GBC remains difficult because its features overlap with those of non-neoplastic gallbladder pathologies. Furthermore, the overlap between … …Journal of Computer Science, Vol. 22, Issue 10 · 6 Oct 2026 · 423 accessesView PDFCite
Research ArticleOpen accessIn the abstractVision Tune: A Deep Learning Framework for Sentiment Driven Video, Image and Music CreationLukesh Rameshpant Kadu, Manoj Deshpande, Vijaykumar PawarArtificial intelligence has enabled powerful generative models for text, images, video, and music, yet most tools still operate independently without a unified, multi-modal workflow. This article proposes an integrated AI framework, Vision Tune, that consolidates these isolated capabilities into a single, sentiment-aware platform for end-to-end media creation. The system leverages deep learning and multi-scope AI models to automatically generate written … …Journal of Computer Science, Vol. 22, Issue 4 · 29 Apr 2026 · 1,502 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comprehensive Review of Medical Image Denoising: Techniques, Challenges, Applications and Future DirectionsMohit Sharma, Ayush Dogra, Anita Gupta et al.The concept of noise reduction in medical images plays a vital role in improving image quality and accuracy associated with diagnosis, and facilitating reliable automated analysis. This survey presents a structured overview of medical image denoising, beginning with foundational definitions and noise models for modalities such as MRI and CT. We critically evaluate persistent gaps, including the limited generalizability of … …Journal of Computer Science, Vol. 22, Issue 3 · 28 Mar 2026 · 1,861 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Multi-Modal Image Fusion Approach for Visual and Infrared Images via Shearlet-Based DecompositionApoorav Sharma, Shagun Sharma, Kalpna Guleria et al.The integration of optical lens technologies with night vision has become necessary due to the increasing demand to enhance public safety and surveillance, particularly in vulnerable areas, public transportation, and airports. Due to vision clarity issues or the lack of thermal information, conventional single-modality systems often fail to detect concealed dangers. This research presents a multimodal image fusion architecture that … …Journal of Computer Science, Vol. 22, Issue 1 · 2 Feb 2026 · 1,906 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptiCNN: Local thresholding segmentation and CNN with SVM Approach for Diabetic Retinopathy Detection and Classification of Fundus ImagesAnju Mishra, Mrinal Pandey, Laxman SinghDiabetic Retinopathy (DR) is a progressive eye disease that can lead to vision loss and blindness if left untreated. Ophthalmologists diagnose DR using medical imaging modalities such as fundus photography and optical coherence tomography (OCT); however, manual interpretation of these images is time-consuming and subject to inter-observer variability. While DR is irreversible, vision loss can be prevented through early detection … …Journal of Computer Science, Vol. 21, Issue 10 · 15 Dec 2025 · 2,162 accessesView PDFCite
Review ArticleOpen accessIn the abstractUnveiling Skin Cancer: A Review of Deep Learning Techniques for DetectionGoutham Lal Shanmughamadom Harilal, Tamilselvi PanneerselvamEarly identification is essential for successful treatment and better patient outcomes since skin cancer is caused by damage to DNA in skin cells, which can result in genetic abnormalities and the possibility of metastasis. The present systematic review scrutinizes the efficacy and obstacles of early detection techniques, which differentiate between benign and malignant lesions by examining lesion attributes such as … …Journal of Computer Science, Vol. 21, Issue 9 · 23 Oct 2025 · 2,609 accessesView PDFCite