The Innovate Malaysia Design Competition promotes a culture and mindset of innovation among university graduates to enhance knowledge and skill sets in practical engineering. Model-Based Design and AI using MATLAB and Simulink enable students to efficiently design and build a real-world engineering creation.
Find more information on the MathWorks track for Innovate Malaysia.
MathWorks provides complimentary software for this competition. If your team is participating in this competition and needs software, fill out the software request form.
Masterclasses with Loren Shure
Loren Shure has worked at MathWorks for over 30 years, first in development for many years, more recently in application engineering. During the next 2 months, Loren Shure will share her expertise, as well as hints and tips on how you can improve your MATLAB skills, as she presents a series of free Masterclasses exclusively on YouTube Live.
During these live sessions you’ll not only have the chance to improve your proficiency in MATLAB, you’ll also have the opportunity to ask relevant questions and benefit from Loren Shure's extensive MATLAB experience.
The Winner's Circle
Cool projects. Raw talent. The right tools. With these ingredients student competition teams are winning competitions worldwide and shaping the future of automotive design, aerospace engineering, robotics, and many other technical fields. Learn more
Universiti Sains Malaysia
1st Place - Innovate Malaysia Design Competition 2018
Team MY322 designed a distributed cooperative synchronization between master and slave units where both of the robot arms are connected over a network. The control signal is shared amongst them as well as the implementation of a robust observer, which uses sliding mode observer theory. MATLAB and Simulink support package for Arduino as well as Simulink Coder have been used to control the robot arms in synchronized motion and the fault is introduced via software by using Band-Limited White Noise block in MATLAB/Simulink. The team can set the value of noisy signal differently to see the performance of this robust observer.
Universiti Kebangsaan Malaysia
3rd Place - Innovate Malaysia Design Competition 2018
Team MY144 developed a smart and responsive blind with fuzzy logic as a main decision module. The fuzzy logic controls the length and angle of the blind and the LED brightness responds to any variation in thermal comfort parameters. The response is governed by the fuzzy inference system (FIS) and the membership function, namely the fuzzy controller. This system is developed using Fuzzy Logic Toolbox and MATLAB and Simulink support package for Arduino. The data is uploaded to the cloud via ThingSpeak Support Toolbox in order to incorporate the model with the IoT network system. The user can switch on or off the fuzzy controller and can monitor the thermal comfort parameters via a mobile app.
Universiti Teknologi Malaysia
2nd Place - Innovate Malaysia Design Competition 2018
First runner up, team MY115 developed a computer vision solution to estimate the level of myopia using the distance between a camera lens and a reference object. From real-time image acquisition, region of interest is extracted using color segmentation. Detection algorithms use the intrinsic parameter of the camera to perform pixel operation and apply triangle similarities. Distance can be computed with less than 2% maximum error after proper calibration. To overcome the stability issue due to surroundings, a GUI with calibrated model parameters is created. MATLAB analysis is done on the data stored on ThingSpeak to remove redundant and useless data pairs. The clean data is gathered by a mobile app with a data visualizer.
Video Tutorials for Your Team
Interactive Online Tutorials
Learn by doing! Our 2-hour online courses provide a hands-on learning environment where you will interact with a web-based version of MATLAB and receive instant and contextual feedback.
Physical Modeling Video Tutorials
Get started modeling, simulating, and analyzing automotive systems with these free training materials.
Mobile Robotics Video Tutorials
Learn to design and test autonomous robot algorithms using MATLAB and Simulink with these free training materials.
Computer Vision Video Tutorials
Learn to design and deploy computer vision algorithms using MATLAB and Simulink with these free training materials
Code Generation Video Tutorials
Learn how to convert MATLAB functions and Simulink models to C/C++ code.
Examples and Documentation