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Browsing by Impact Area "Industrial AI"

Now showing items 1-18 of 18

3D mapping and photogrammetry sensor payload for unmanned aerial vehicles

Author: Purdon, Kyla ; Van Niekerk, T ; Phillips, R ; Marais, Stephen T Date: Nov 2023 Unmanned Aerial Vehicles (UAVs) have shown great potential for data collection and monitoring of areas. Sensors such as LiDARs and cameras can be used on UAVs for high-resolution data collection and used for various applications like Digital ... Read more
Anomaly detection monitoring system for healthcare

Author: Boloka, Tlou J ; Crafford, Gerhardus J ; Mokuwe, Mamuku W ; Van Eden, Beatrice Date: Jan 2021 Most developing countries suffer from inadequate health care facilities and a lack of medical practitioners as most of them emigrate to developed countries. The outbreak of the COVID-19 pandemic has left these countries more vulnerable to ... Read more
ARGUS: A pole climbing surveillance robot

Author: De Ronde, Wiilis ; Bosscha, Peter A ; Marais, Stephen T ; Pretorius, A Date: Nov 2023 Due to the high prevalence and unpredictability of violent protest action in South Africa, a need has arisen for rapidly deployable surveillance. This paper proposes an Automated Robotic Guardian for Urban Surveillance (ARGUS) platform, a ... Read more
Assembly line quality assurance through hand tracking and object detection

Author: Mokuwe, Mamuku W ; Goorun, Yurisha ; Crafford, Gerhardus J Date: Oct 2022 This work presents a vision-based quality assurance system that does assembly line monitoring. The system is developed using machine learning hand tracking and object detection methods to monitor the worker’s hand movement while evaluating ... Read more
A cloud-based road infrastructure analysis system using machine learning

Author: Naidoo, Thegaran ; Verster, Jacobus J ; Marais, Stephen T Date: Nov 2022 A cloud-based road infrastructure analysis system was developed to assist as an information management system for detecting and managing information about road defects and road assets. The system uses computer vision and machine learning ... Read more
A comparison of visual place recognition methods using a mobile robot in an indoor environment

Author: Van Eden, Beatrice ; Botha, Natasha ; Rosman, B Date: Nov 2023 Spatial awareness is an important competence for a mobile robotic system. A robot needs to localise and perform context interpretation to provide any meaningful service. With the deep learning tools and readily available sensors, visual ... Read more
Design of HERMES: a mobile autonomous surveillance robot for security patrol

Author: Dickens, John S ; Maweni, Thabisa ; Setati, Tiro ; Suddoo, Zubair Date: Nov 2023 The HERMES autonomous surveillance robot platform is a low-cost outdoor autonomous surveillance vehicle. It is designed to autonomously patrol outdoor areas performing surveillance and providing automated alerts of detected vehicles and ... Read more
Development of a graphical user interface as a learning tool for artificial intelligence

Author: Botha, Natasha ; Marais, Stephen T Date: Nov 2021 This study developed a Graphical User Interface (GUI) aimed at teaching the concepts of Machine Learning (ML) algorithms which form the backbone of Artificial Intelligence (AI). This is done by means of tutorial videos and allowing the student ... Read more
Improving reinforcement learning with ensembles of different learners

Author: Crafford, Gerhardus J ; Rosman, B Date: Nov 2022 Different reinforcement learning (RL) methods exist to address the problem of combining multiple different learners to generate a superior learner. These existing methods usually assume that each learner uses the same algorithm and/or state ... Read more
Knowledge transfer using model-based deep reinforcement learning

Author: Boloka, Tlou J ; Makondo, N ; Rosman, B Date: Jan 2021 Deep reinforcement learning has recently been adopted for robot behavior learning, where robot skills are acquired and adapted from data generated by the robot while interacting with its environment through a trial-and-error process. Despite ... Read more
Manufacturing and evaluation of the open-source AR3 robot arm for educational uses

Author: Purdon, Kyla ; Setati, Tiro ; Marais, Stephen T Date: Nov 2021 At the CSIR, a Learning Factory has been established to teach about the fundamentals of robotics and other Industry 4.0 disciplines. The Learning Factory makes use of the Annin Robotics AR3 robot arm: a low-cost robot designed for small ... Read more
Optimised path planning of a UAV for inventory management applications

Author: Maweni, Thabisa ; Setati, Tiro ; Botha, Natasha Date: Nov 2023 Inventory management in warehouses is a crucial task in the logistics industry. Manual stocktaking in larger-scale warehouses can be time-consuming and labour-intensive. To automate this process, unmanned aerial vehicles (UAVs) have gained ... Read more
Prototype design of an aerial robotic platform for indoor applications

Author: Botha, Natasha ; Van Eden, Beatrice ; Lehman, Lodewyk ; Verster, Jacobus J Date: Nov 2023 There is an increased interest in using aerial robotic platforms for indoor applications in industrial and manufacturing environments. One such example is stocktaking in warehouses, where the use of other mobile robotic systems is not efficient ... Read more
Reliability of visual inertial odometry on an unmanned aerial vehicle

Author: Setati, Tiro ; Maweni, Thabisa ; Botha, Natasha Date: Nov 2023 There is a need to ensure that an Unmanned Aerial Vehicle (UAV) can fly safely in indoor environments. In this paper, the visual inertial odometry (VIO) implemented in a commercial UAV is tested to determine its reliability to keep its position ... Read more
Simulating object handover between collaborative robots

Author: Van Eden, Beatrice ; Botha, Natasha Date: Nov 2023 Collaborative robots are adopted in the drive towards Industry 4.0 to automate manufacturing, while retaining a human workforce. This area of research is known as human-robot collaboration (HRC) and focusses on understanding the interactions ... Read more
Statistical analysis of the effect of varying material and manufacturing conditions on the mechanical properties of high-density polyethylene/layered double hydroxide composites

Author: Botha, Natasha ; Coetzer, R ; Inglis, HM ; Labuschagne, FJWJ Date: Jul 2023 Polymers are used in various industrial applications due to their ease of production, light weight, and ductility. Fillers such as clays are added to polymers to improve a range of factors such as material processing, thermal properties, fire ... Read more
Statistical analysis of the effect of varying material and manufacturing conditions on the mechanical properties of high-density polyethylene/layered double hydroxide composites

Author: Botha, Natasha ; Coetzer, R ; Inglis, HM ; Labuschagne, FJWJ Date: Jul 2023 Polymers are used in various industrial applications due to their ease of production, light weight, and ductility. Fillers such as clays are added to polymers to improve a range of factors such as material processing, thermal properties, fire ... Read more
Towards better flood risk management using a Bayesian network approach

Author: Wessels, Gert J ; Botha, Natasha ; Koen, Hildegarde S ; Van Eden, Beatrice Date: Nov 2022 After years of drought, the rainy season is always welcomed. Unfortunately, this can also herald widespread flooding which can result in loss of livelihood, property, and human life. In this study a Bayesian network is used to develop a flood ... Read more

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