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crossrefApplied Sciences2025-01-27Cited by 16

Integration of Deep Learning Vision Systems in Collaborative Robotics for Real-Time Applications

Nuno Terras, Filipe Pereira, António Ramos Silva, Adriano A. Santos, António Mendes Lopes, António Ferreira da Silva, Laurentiu Adrian Cartal, Tudor Catalin Apostolescu, Florentina Badea, José Machado

Collaborative robotics and computer vision systems are increasingly important in automating complex industrial tasks with greater safety and productivity. This work presents an integrated vision system powered by a trained neural network and coupled with a collaborative robot for real-time sorting and quality inspection in a food product conveyor process. Multiple object detection models were trained on custom datasets using advanced augmentation techniques to optimize performance. The proposed system achieved a detection and classification accuracy of 98%, successfully processing more than 600 items with high efficiency and low computational cost. Unlike conventional solutions that rely on ROS (Robot Operating System), this implementation used a Windows-based Python framework for greater accessibility and industrial compatibility. The results demonstrated the reliability and industrial applicability of the solution, offering a scalable and accurate methodology that can be adapted to various industrial applications.

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crossrefApplied Sciences2025-05-12Cited by 7

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The adoption of artificial intelligence (AI) in sports training has the potential to revolutionize skill development, yet cost-effective solutions remain scarce, particularly in table tennis. To bridge this gap, we present an intelligent training system leveraging computer vision…

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crossrefApplied Sciences2025-11-11

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Accurate identification of rear light signals in preceding vehicles is pivotal for Advanced Driver Assistance Systems (ADAS), enabling early detection of driver intentions and thereby improving road safety. In this work, we present a novel approach that leverages a meta-learning-…

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crossrefApplied Sciences2025-07-30Cited by 19

A Review of Computer Vision and Deep Learning Applications in Crop Growth Management

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crossrefApplied Sciences2025-06-17Cited by 3

Resilient AI in Therapeutic Rehabilitation: The Integration of Computer Vision and Deep Learning for Dynamic Therapy Adaptation

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Resilient artificial intelligence (Resilient AI) is relevant in many areas where technology needs to adapt quickly to changing and unexpected conditions, such as in the medical, environmental, security, and agrifood sectors. In the case study involving the therapeutic rehabilitat…

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crossrefApplied Sciences2026-01-03

Towards Intelligent Manufacturing: Machine Learning, Deep Learning, and Computer Vision for Tool Wear Estimation in Milling and Micromilling Processes

Vaibhav Joshi, Sameer Sayyad, Arunkumar Bongale, Satish Kumar, Vivek Warke, R. Suresh

In modern manufacturing, milling and micromilling processes play a central role in precision production. However, rapid wear of cutting tools often leads to sudden tool breakage, unplanned downtime, and part rejection. Maintenance is therefore essential to ensure efficiency, safe…

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crossrefApplied Sciences2025-04-08Cited by 1

A Machine Learning Pipeline for Adenoma Detection in MRI: Integrating Deep Learning and Ensemble Classification

Bernardo Gonçalves, Gonçalo Saldanha, Miguel Ramalho, Luísa Vieira, Pedro Vieira

Adrenal lesions are common findings in abdominal imaging, with adrenal adenomas being the most frequent type. Accurate detection of adrenal adenomas is essential to avoid unnecessary diagnostic procedures and treatments. However, conventional imaging-based evaluation relies heavi…

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