21 documents found, page 1 of 3
A cloud-based 3D real-time inspection platform for industry
Pérez, José; laamr-León, Javier; Castilla, Yusbel; Shahrabadi, Somayeh; Anjos, Vitor; Adão, Telmo; Guevara-López, Miguel; Peres, EmanuelA 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 is supported by a cloud-based platform, which combines recent software and hardware advances to deal with large amounts of information related to the acquisition process and the computational power needed to execute the computer vision platform algorit...
Empowering deaf-hearing communication: exploring synergies between predictive a...
Adão, Telmo; Oliveira, Joao; Shahrabadi, Somayeh; Jesus, Hugo; Fernandes, Marco Paulo Sampaio; Costa, Angelo; Gonçalves, Martinho FradeiraCommunication between Deaf and hearing individuals remains a persistent challenge requiring attention to foster inclusivity. Despite notable efforts in the development of digital solutions for sign language recognition (SLR), several issues persist, such as cross-platform interoperability and strategies for tokenizing signs to enable continuous conversations and coherent sentence construction. To address such i...
Empowering deaf-hearing communication: exploring synergies between predictive a...
Adão, Telmo; Oliveira, João; Shahrabadi, Somayeh; Jesus, Hugo; Fernandes, Marco; Costa, Ângelo; Ferreira, Vânia; Gonçalves, Martinho FradeiraCommunication between Deaf and hearing individuals remains a persistent challenge requiring attention to foster inclusivity. Despite notable efforts in the development of digital solutions for sign language recognition (SLR), several issues persist, such as cross-platform interoperability and strategies for tokenizing signs to enable continuous conversations and coherent sentence construction. To address such i...
Footwear segmentation and recommendation supported by deep learning: an explora...
Oliveira, João F.; Gomes, Rui; Gonzalez, Dibet; Sousa, Nuno; Shahrabadi, Somayeh; Guevara, Miguel; Ferreira, Maria Jose; Alves, Pedro; Peres, EmanuelThe 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 or similar include: (i) production of appealing catalogues and (ii) digital tools to shorten ...
Benchmarking deep learning models and hyperparameters for bridge defects classi...
Shahrabadi, Somayeh; Gonzalez, Dibet; Sousa, Nuno; Adão, Telmo; Peres, Emanuel; Magalhães, Luís Gonzaga MendesDeep learning (DL) is becoming increasingly popular in numerous application fields within the current Fourth Industrial Revolution (4IR) era. This is mainly due to its capability for providing accurate predictions and reliable consistency in decision-making. Bridge engineering focused on structure monitoring and inspection is a crucial activity for disaster prevention. Therefore, it is an application field wher...
Ten years of active learning techniques and object detection: a systematic review
Garcia, Dibet; Carias, João; Adão, Telmo; Jesus, Rui; Cunha, António; Magalhães, Luís Gonzaga MendesObject detection (OD) coupled with active learning (AL) has emerged as a powerful synergy in the field of computer vision, harnessing the capabilities of machine learning (ML) to automatically identify and perform image-based objects localisation while actively engaging human expertise to iteratively enhance model performance and foster machine-based knowledge expansion. Their prior success, demonstrated in a w...
A cloud-based 3D real-time inspection platform for industry: A casestudy focusi...
Pérez, José; León, Javier; Castilla, Yusbel; Shahrabadi, Somayeh; Anjos, Vitor; Adão, Telmo; López, Miguel Ángel Guevara; Peres, EmanuelA 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 is supported by a cloud-based platform, which combines recent software and hardware advances to deal with large amounts of information related to the acquisition process and the computational power needed to execute the computer vision platform algorit...
Empowering deaf-hearing communication: Exploring synergies between predictive a...
Adão, Telmo; Oliveira, José A.; Shahrabadi, Somayeh; Jesus, Hugo; Fernandes, Marco; Costa, Ângelo; Ferreira, Vânia; Gonçalves, Martinho FradeiraCommunication between Deaf and hearing individuals remains a persistent challenge requiring attention to foster inclusivity. Despite notable efforts in the development of digital solutions for sign language recognition (SLR), several issues persist, such as cross-platform interoperability and strategies for tokenizing signs to enable continuous conversations and coherent sentence construction. To address such i...
Evaluating rotation invariant strategies for mitosis detection through YOLO alg...
Gonzalez, Dibet Garcia; Carias, João; Castilla, Yusbel Chávez; Rodrigues, José; Adão, Telmo; Jesus, Rui; Magalhães, Luís Gonzaga MendesCancer diagnosis is of major importance in the field of human medical pathology, wherein a cell division process known as mitosis constitutes a relevant biological pattern analyzed by professional experts, who seek for such occurrence in presence and number through visual observation of microscopic imagery. This is a time-consuming and exhausting task that can benefit from modern artificial intelligence approac...
Defect detection in the textile industry using image-based machine learning met...
Shahrabadi, Somayeh; Castilla, Yusbel; Guevara, Miguel; Magalhães, Luís Gonzaga Mendes; Gonzalez, Dibet; Adão, TelmoTraditionally, computer vision solutions for detecting elements of interest (e.g., defects) are based on strict context-sensitive implementations to address contained problems with a set of well-defined conditions. On the other hand, several machine learning approaches have proven their generalization capacity, not only to improve classification continuously, but also to learn from new examples, based on a fund...