INTRODUCTION TO MACHINE LEARNING COURSE
Machine learning is a subfield of artificial intelligence (AI). Interested in the field of Machine Learning? Then this course is for you! This course has been designed by two professionals, an IoT and Embedded Systems Architect and a Professor of AI so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way. We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science. The first AI unit Introduction to Machine Learning: Image Classification enables students to learn about the basics of machine learning and create their own apps that implement these concepts through image classification. Courses are Scheduled for 16th-17th December and 23rd -24th January 2020. First come first served.
Traffic Control & Monitoring system (TCMS) Designed and supervised the implementation of the Traffic Control & Monitoring system (TCMS) at the Jomo Kenyatta International Airport. The Portal facility includes a fully automated Traffic Control and Monitoring System (TCMS) with sensors that detect when a Vehicle enters the facility, passes through the portal and leaves the facility; Vehicle speed measurement devices, CCTV cameras for capturing an image of the vehicle license plate and container identification number and for monitoring the facility and its vicinity, an advanced Under Vehicle Inspection Systems (UVIS) designed to provide a security solution for inspecting the most vulnerable part of a vehicle –the chassis. Our AlertEnterprise solution delivered a unified solution that incorporated IT access, physical security and access to critical assets to ascertain risk across multiple applications. It even extended across multi‐vendor environments delivering the most complete view of threats and vulnerabilities to determine the most complete risk posture. AlertEnterprise delivered seamless integration with leading Physical Access Control Systems (PACS) vendors like GE, Lenel, Tyco, Honeywell and many more. Support for electronic badge access systems, proximity sensors, smart cards, HSPD-12 and many other forms of access control allowed for real-time correlation of blended threats.
Application of IoT in agriculture could be a life changer for humanity and the whole planet. Currently, we witness how extreme weather, deteriorating soil and drying lands, collapsing ecosystems that play a crucial role in agriculture make food production harder and harder. The smart agriculture IoT system was build using our modified IoT platform as a Sensor-based system for monitoring crops, soil, fields, livestock, storage facilities, or basically any important factor that influences the production. The sensors used in the smart agriculture systems included soil, humidity, moisture, light, air temperature, CO2 and solar energy sensor in a remote village in Siaya, Kenya. A cCombination of data coming from diverse sensors and data exchange allows to build crop models—prediction of how the crop will grow in the given conditions, practice precision farming relying on sensor and satellite data, build harvesting strategy, etc.
AVU ODeL Multinational Project II Designed and supervised the installation of the new ODeL Centers which is part of the activities of the AVU Multinational Project II whose objective is to strengthen the capacity of the AVU and a network of 27 institutions to develop, deliver and manage quality ICT integrated programs in 21 African countries. The African Virtual University has finalized the installation of the equipment for the new Open Distance and eLearning (ODeL) Centers being established in 27 institutions benefiting from the AVU Multinational Project II. The procurement process included 15 centers to be upgraded. The Universities are:Université Abdou Moumouni de Niamey,Niger:Institut des Sciences de Ouagadougou,Burkina Faso:Institut Supérieur Pédagogique de la Gombe,DRC:École Normale Supérieure de Bamako,Mali:Universidade de Cabo Verde, Cape Verde and Escola Superior da Educaçao – Unidade Tchico Té, Guinea-Bissau: Universidade Pedagogica,Mozambique:University of The Gambia,Gambia: University of Education Winneba,Ghana:University of Port Harcourt,Nigeria :Open University of Sudan,Sudan:
IoT based adverse blood transfusion system. Designed and prototyped an IoT based adverse blood transfusion system using Arduino for a Hospital in a rural setup and resource limited setting. The project was a system for collecting voluntary, anonymous and independent notifications of adverse transfusion events, with an educational aim of building, through annual reports, an evidence base to support decisions, guidelines, clinical training and improvements in transfusion practices. It covers only serious incidents (grades 2–4) or potentially serious incidents without clinical consequences (mis transfusions of blood components and near-miss events) but does not include minor reactions (allergic or non-hemolytic febrile reactions). It reports the total number of the different adverse events, but not the incidence with respect to the number of blood components transfused. Arduino board is one of the most important objects in this ecosystem, and a cloud based Realtime database using Firebase.
Recovery room IoT based, low cost modular patient monitoring system. Patient monitoring in rural areas can benefit from IoT technologies especially in cases where doctors are unable to visit rural clinics frequently. Following a surgical procedure, patients are monitored in an ICU until physically stable, after which are discharged to a ward for further evaluation and recovery. Usually, ward evaluation does not imply continuous physiological parameters monitoring and therefore patient relapse is not uncommon. Designed and built for a local hospital in a rural setting, Ukwala-Siaya county-Kenya a low-cost modular monitoring system prototype. This system aims to offer mobile support in order to facilitate faster and better medical interventions in emergency cases and has been developed using low-power dedicated sensor arrays for EKG, SpO2, temperature and movement. The interfaces for these sensors have been developed according to the IoT model: a central control unit exposes a RESTful based Web interface that ensures a platform agnostic behavior and provides a flexible mechanism to integrate new components.
A smart library system using IoT Set up a Zero Client architecture at the Great Lakes University main Library to provide affordable, desktops that are well-suited for Library use. Our solution is prepackaged with an easy setup, requiring no additional IT support.The Zero Client Solution powers multiple desktops through one PC, allowing GLUK to save up to 80% on hardware costs, let alone reduced software and electricity costs. This solution provides a deployment of reliable, locked-down Terminals allowing the Library to best serve their patrons. Envisaged an IoT based Smart Library system to provide the luxury of fetching a book from its place with the assistance of an IoT based interconnected system using a Wi-Fi based Local Positioning System (LPS) and Near Field Communication (NFC) tags.
Smart Energy- Future of the Electric Grid
Every day, management of the grid becomes more challenging. The distribution network is becoming progressively dynamic, complexity is increasing and the volume of data that utilities need to understand and integrate continues to grow. The improved ioT frmawork ADMS moves beyond the traditional bounds of SCADA, DMS and OMS and provides software for the safe and secure management and orchestration of the distribution grid. Our solutions deliver reliability, productivity, and efficiency through a modular architecture, adaptive algorithms, predictive analytics, and a brilliant user experience. ADMS software supports our customers’ journey towards predictive and autonomous operations, and an optimized distribution grid.