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FEUP/DEEC - Faculdade de Engenharia da Universidade do Porto, Dep. Engenharia Electrotécnica e de Computadores; ISR-P – Instituto de Sistemas e Robótica do Porto
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5 Papers

Spray Quality Assessment on Water-Sensitive Paper Comparing AI and Classical Computer Vision Methods

Topics: Image Processing; Vision, Recognition and Reconstruction

Authors: Inês Simões 1 ; 2 , André Baltazar 2 , Armando Sousa 1 ; 2 and Filipe Santos 2

Affiliations: 1 FEUP - Faculdade de Engenharia da Universidade do Porto, Universidade do Porto, R. Dr. Roberto Frias, Porto, Portugal , 2 INESC TEC - Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência, R. Dr. Roberto Frias, Porto, Portugal

Digital Object Identifier: 10.5220/0013027700003822

Proceedings of ICINCO 2024, ISBN: 978-989-758-717-7

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Over recent decades, precision agriculture has revolutionized farming by optimizing crop yields and reducing resource use through targeted applications. Existing portable spray quality assessors lack precision, especially in detecting overlapping droplets on water-sensitive paper. This proposal aims to develop a smartphone application that uses the integrated camera to assess spray quality. Two approaches were implemented for segmentation and evaluation of both the water-sensitive paper and the individual droplets: classical computer vision techniques and a pre-trained YOLOv8 deep learning model. Due to the labor-intensive nature of annotating real datasets, a synthetic dataset was created for model training through sim-to-real transfer. Results show YOLOv8 achieves commendable metrics and efficient processing times but struggles with low image resolution and small droplet sizes, scoring an average Intersection over Union of 97.76% for water-sensitive spray segmentation and 60.77% for droplet segmentation. Classical computer vision techniques demonstrate high precision but lower recall with a precision of 36.64% for water-sensitive paper and 90.85% for droplets. This study highlights the potential of advanced computer vision and deep learning in enhancing spray quality assessors, emphasizing the need for ongoing refinement to improve precision agriculture tools.

Subsurface Metallic Object Detection Using GPR Data and YOLOv8 Based Image Segmentation

Topics: Image Processing; Vision, Recognition and Reconstruction; Defect and Change Detection and Identification

Authors: Duarte Branco 1 ; 2 , Rui Coutinho 1 ; 2 , Armando Sousa 1 ; 2 and Filipe Santos 2

Affiliations: 1 Faculty of Engineering (FEUP), University of Porto, Rua Dr. Roberto Frias, Porto, Portugal , 2 INESC Technology and Science (INESC TEC), Rua Dr. Roberto Frias, Porto, Portugal

Digital Object Identifier: 10.5220/0013027500003822

Proceedings of ICINCO 2024, ISBN: 978-989-758-717-7

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Ground Penetrating Radar (GPR) is a geophysical imaging technique used for the characterization of a subsurface’s electromagnetic properties, allowing for the detection of buried objects. The characterization of an object’s parameters, such as position, depth and radius, is possible by identifying the distinct hyperbolic signature of objects in GPR B-scans. This paper proposes an automated system to detect and characterize the presence of buried objects through the analysis of GPR data, using GPR and computer vision data processing techniques and YOLO segmentation models. A multi-channel encoding strategy was explored when training the models. This consisted of training the models with images where complementing data processing techniques were stored in each image RGB channel, with the aim of maximizing the information. The hyperbola segmentation masks predicted by the trained neural network were related to the mathematical model of the GPR hyperbola, using constrained least squares. The results show that YOLO models trained with multi-channel encoding provide more accurate models. Parameter estimation proved accurate for the object’s position and depth, however, radius estimation proved inaccurate for objects with relatively small radii.

HUMAN-MACHINE INTERFACE TO CONTROL A ROBOT WITH THE NINTENDO WII REMOTE

Topics: Intelligent User Interfaces; Case-Based Reasoning; Fuzzy Systems

Authors: Daniel Coutinho 1 , Armando Sousa 2 and Luís Paulo Reis 3

Affiliations: 1 FEUP – Faculty of Engineering of the University of Porto, Portugal , 2 FEUP/DEEC – Faculty of Engineering of the University of Porto, Portugal , 3 FEUP/DEI – Faculty of Engineering of the University of Porto, Portugal

Digital Object Identifier: 10.5220/0001662703450348

Proceedings of ICAART 2009, ISBN: 978-989-8111-66-1

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This paper intends to demonstrate the development of and easy-to-use local human-machine interface that would allow any user to control all kinds of service robots intuitively. This interface is based on the Nintedo Wii remote controller and consists of three operating modes: a steering wheel, an infra-red monitor and a movement identifier. These modes were tested on a cleaning robot and they led to very satisfactory results, proving that the Wiimote is an inexpensive and interesting way of making this kind of interfaces.
Collapse Button Related Ontology Subjects/Areas/Topics (12)
Artificial Intelligence

Enterprise Information Systems

Pattern Recognition

Artificial Intelligence and Decision Support Systems

Fuzzy Systems

Soft Computing

Case-Based Reasoning

Human-Computer Interaction

Symbolic Systems

Computational Intelligence

Intelligent User Interfaces

Theory and Methods

iiBOARD - Development of a Low-Cost Interactive Whiteboard using the Wiimote Controller

Topics: Augmented, Mixed and Virtual Environments; Hardware Technologies for Augmented, Mixed and Virtual Environments; Advanced User Interfaces; Graphical Interfaces

Authors: Marco Silva 1 , Luís Paulo Reis 2 , Armando Sousa 3 , Brígida Mónica Faria 4 and A. Pedro Costa 5

Affiliations: 1 FEUP/DEEC - Faculdade de Engenharia da Universidade do Porto, Dep. Engenharia Electrotécnica e de Computadores; LIACC – Laboratório de Inteligência Artificial e Ciência de Computadores da Universidade do Porto, Portugal , 2 FEUP/DEI - Faculdade de Engenharia da Universidade do Porto, Dep. Engenharia Informática; LIACC – Laboratório de Inteligência Artificial e Ciência de Computadores da Universidade do Porto, Portugal , 3 FEUP/DEEC - Faculdade de Engenharia da Universidade do Porto, Dep. Engenharia Electrotécnica e de Computadores; ISR-P – Instituto de Sistemas e Robótica do Porto, Portugal , 4 IPP/ESTSP – Instituto Politécnico do Porto, Escola Superior de Tecnologia da Saúde do Porto, Portugal , 5 UA/CIDTFF - Universidade de Aveiro, Dep. Didáctica e Tecnologia Educativa; Centro de Investigação Didáctica e Tecnologia na Formação de Formadores, Portugal

Digital Object Identifier: 10.5220/0001806603370344

Proceedings of GRAPP 2009/VISIGRAPP, ISBN: 978-989-8111-67-8

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Interactive whiteboards are gaining importance in our society, both at a business level and, especially, at an educational level. However, the products offered by the major manufacturers have a major barrier to their acquisition: very high prices. There is an urgent need to use new technologies in order to provide solutions that present the same performance levels than typical interactive whiteboards, but with a significantly reduced cost. Throughout this paper the steps taken for the development of an innovative low-cost interactive whiteboard are described. The proposed system is based on the Wii Remote command of the Nintendo Wii video-game console. This command, although very inexpensive has an infrared camera, and supports Bluetooth communication. The system control is based on a wireless device, based on infrared emitters, which supports most of the mouse events. A complete whiteboard application was also developed using Borland Delphi for Windows. This application may be used with either one or two Wiimotes and has a very simple and efficient calibration method. The application also includes viewing capabilities of some of the Wiimote characteristics, as well as a flexible Notebook to increase its range of possible uses. The results obtained through a survey conducted to a small set of whiteboard users were very positive indicators about the acceptance of the inexpensive solution proposed.
Collapse Button Related Ontology Subjects/Areas/Topics (6)
Advanced User Interfaces

Computer Vision, Visualization and Computer Graphics

Hardware Technologies for Augmented, Mixed and Virtual Environments

Augmented, Mixed and Virtual Environments

Graphical Interfaces

Interactive Environments

DYNAMICAL MODELS FOR OMNI-DIRECTIONAL ROBOTS WITH 3 AND 4 WHEELS

Topic: Modeling, Simulation and Architectures

Authors: Hélder P. Oliveira , Armando J. Sousa , A. Paulo Moreira and Paulo J. Costa

Affiliation: Faculdade de Engenharia, Universidade do Porto, Portugal

Digital Object Identifier: 10.5220/0001489201890196

Proceedings of ICINCO 2008, ISBN: 978-989-8111-31-9

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Omni-directional robots are becoming more and more common in recent robotic applications. They offer improved ease of maneuverability and effectiveness at the expense of increased complexity. Frequent applications include but are not limited to robotic competitions and service robotics. The goal of this work is to find a precise dynamical model in order to predict the robot behavior. Models were found for two real world omni-directional robot configurations and their parameters estimated using a prototype that can have 3 or 4 wheels. Simulations and experimental runs are presented in order to validate the presented work.
Collapse Button Related Ontology Subjects/Areas/Topics (3)
Informatics in Control, Automation and Robotics

Modeling, Simulation and Architectures

Robotics and Automation

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