The Microcontroller and Embedded Systems module provides virtual environments (e.g., Arduino, Raspberry Pi) where students can design, simulate, and test embedded systems. Through interactive exercises, students learn to interface sensors, actuators, and communication modules, while writing and debugging code to control devices effectively.
University / College
Enhance students' involvement in science by immersing them in interactive learning scenarios. Create simulations for experiments, provide hands-on training in laboratory techniques, and convey theoretical concepts through captivating visual experiences to improve their overall long-term learning outcomes.
Introduce students to material properties, testing methods, and their applications in mechanical engineering through XR simulations. Students will engage in virtual material testing labs where they perform various tests such as tensile tests, hardness tests, impact tests, and fatigue analysis. The simulation includes interactive lessons on material properties like strength, ductility, toughness, and elasticity. Real-time feedback will help students understand material selection, suitability for specific applications, and how to optimize design for enhanced performance.
The Obstetric and Neonatal Care Simulation module trains nursing students in essential obstetric and neonatal care skills through realistic virtual scenarios. Students gain hands-on experience in labor and delivery processes, fetal monitoring, neonatal assessments, and newborn resuscitation, ensuring safe and competent maternal and infant care during childbirth and postpartum.
Explore the world of designing, building, and controlling Unmanned Aerial Vehicles (UAVs) and aerospace robotics for autonomous flight. In this simulation, students will gain hands-on experience by programming UAVs for specific missions, including navigation, obstacle avoidance, and data collection. Using XR-enabled environments, students will interact with drone dynamics, sensor integration, and flight path optimization techniques, while receiving valuable feedback on UAV stability, control responses, and overall mission performance.
Explore the principles of structural analysis and the application of Finite Element Analysis (FEA) to evaluate and optimize engineering designs.
Explore the integration of mechanical, electrical, and computer systems in the design and operation of mechatronics and robotics.
Explore XR-driven CAM (Computer-Aided Manufacturing) software simulations to teach students how to generate toolpaths for CNC machining. Students will virtually import 3D models, set up machining operations, and create G-code for CNC machines. Interactive lessons guide them through toolpath creation, cutting strategies, and simulating machining operations. Feedback on toolpath efficiency, machining time, and material removal helps refine their CAM and CNC programming skills.
imaginX seamlessly integrates with leading LMS (Learning Management Systems), enabling educators to track student performance and allowing students to maintain their work records. It is compatible with popular platforms such as Canvas, Blackboard, Moodle, Google Classroom, Schoology, Sakai, Brightspace/D2L, and can also be used independently of an LMS.