A5065051405- Industrial Vision Systems and Defect Detection
- Surface Roughness and Optical Measurements
- AI in cancer detection
- Advanced Neural Network Applications
- Image and Object Detection Techniques
- Autonomous Vehicle Technology and Safety
- Digital Imaging for Blood Diseases
- Gene expression and cancer classification
- Robotics and Sensor-Based Localization
- Optical measurement and interference techniques
- Textile materials and evaluations
- Fractal and DNA sequence analysis
- Machine Learning in Bioinformatics
- Machine Learning and Algorithms
- Video Analysis and Summarization
- Human Pose and Action Recognition
- AI in Service Interactions
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Digital Radiography and Breast Imaging
- 3D Surveying and Cultural Heritage
- Service-Oriented Architecture and Web Services
- Video Surveillance and Tracking Methods
- Landslides and related hazards
- Domain Adaptation and Few-Shot Learning
University of Minho
2019-2023
Centro de Computação Gráfica
2022-2023
Universidad de Granada
2016
Nowadays, numerous organisations of different dimensions and business sectors operate in highly challenging dynamic environments, wherein the supporting information systems (IS) are becoming increasingly complex. In this context, assistive tools capable tackling such complexity have potential to aid users improving their performance effectiveness, as well streamline businesses’ processes promote entrepreneurial-level competitivity. Following line research, a web-based speech-to-term...
Recently released research about deep learning applications related to perception for autonomous driving focuses heavily on the usage of LiDAR point cloud data as input neural networks, highlighting importance technology in field Autonomous Driving (AD). In this sense, a great percentage vehicle platforms used create datasets development these well some AD commercial solutions available market, invest an array sensors, including large number sensors several sensor modalities. However, costs...
Leather is a textile material made from the animal skins created through process of tanning hides. It durable material, and price higher compared to other types textiles. The leather highly sensitive its quality surface defect condition as it expensive. manual inspection tedious, labor intensive, time consuming, often prone human error. aim this research replace using fully automatic detection based on cutting-as machine vision techniques. laboratorial platform consists some mechanical...
The management of an online footwear retail store - also known as marketplace usually involves activities that directly or indirectly end up to interface with customers, wherein communication efficiency and effectiveness is crucially relevant. Critical factors concerning entities developing remote business in these areas similar include: (i) production appealing catalogues (ii) digital tools shorten the distance between customers marketplaces. former requires using specific third parties...
A 3D real-time quality inspection platform that specifically focus on automotive cast iron parts was developed for the industry and is presented in this work. It supported by a cloud-based platform, which combines recent software hardware advances to deal with large amounts of information related acquisition process computational power needed execute computer vision algorithms (e.g., point cloud filtering, alignment, comparison). This introduces changes current workflow through process'...
Digital pathology has been evolving over the last years, proposing significant workflow advantages that have fostered its adoption in professional environments. Patient clinical and image data are readily available remote banks can be consumed efficiently standard communication technologies. The appearance of new imaging techniques advanced artificial intelligence algorithms significantly reduced burden on medical professionals by speeding up screening process. Despite these advancements,...
The textile industry is one of the important industries which can enhance their productivity using Artificial Intelligence technology. Most inspect product manually, however, development AI-driven technology pushes manufacturing into a new era. In this paper, computer vision-based approach for hairiness analysis in pile proposed. proposed system detects and highlights hairy area fabric where images were acquired by an RGB camera. experimental collected our laboratory stereo ZED camera, but...
Clinical pathology has been adopting digital technologies in the review process of slides. This paradigm shift is being instigated by advances technology that allow pathologists to remotely access data banks and visualize high-resolution images with support cutting-edge imaging tools. Computer-assisted diagnosis one such improvements proliferating due recent advancements deep learning technologies. In this clinical area, these tools are especially relevant, big spatial resolution images....
Abstract In textile/leather manufacturing environments, as in many other industrial contexts, quality inspection is an essential activity that commonly performed by human operators. Error, fatigue, ergonomic issues, and related costs associated to this fashion of carrying out fabric validation are aspects concerning companies’ strategists, whose mission includes watch over the physical integrity their employees, while aiming at enhanced control methods implementation towards profit...
Within a highly competitive market context, quality standards are vital for the textile industry, in which related procedures to assess respective manufacture still mainly rely on human-based visual inspection. Thereby, factors such as ergonomics, analytical subjectivity, tiredness and error susceptibility affect employee's performance comfort particular impact economic healthiness of each company operating this generally. In paper, defect detection-oriented platform control industry is...