10 MATLAB Project Ideas for 2023: Super Quick Guide for Advanced Learners

Regarding programming and software development, MATLAB has long been a staple of the industry. With powerful tools and capabilities, MATLAB is a great platform for creating innovative software solutions. As we look ahead to 2023, MATLAB continues to be a powerful platform.

In this article, we'll explore 10 interesting basic MATLAB projects idea, which you can try out.

Have you ever wondered what MATLAB is?

Let us go through a quick overview.

MATLAB is a comprehensive and robust programming platform specifically designed for scientists and engineers. It enables users to combine matrix and array calculations with design operations and repeated tests, allowing them to create effective algorithms, analyze data, and construct models that can be utilized for various tasks. In other words, MATLAB facilitates the efficient development of sophisticated algorithms and models that can be applied to different projects.

This language also provides numerous applications which can be used in a variety of areas, including:

• Control systems
• Communications
• Machine learning
• Computational biology
• Deep learning 

By utilizing the MATLAB language and its vast array of apps and built-in functions, you can find various solutions to fit your particular needs.

Hone Your Skills in MATLAB by Exploring 10 Creative Projects for 2023

• Harness the Power of Artificial Neural Network for Image Encryption:

In recent years, the need for data privacy has become increasingly apparent. If you're interested in cyber security and cryptography, this is an excellent MATLAB project to explore. 

By utilizing Artificial Neural Networks, you can encrypt images to ensure that unauthorized people cannot view or access them. This process involves converting the original, readable text into ciphertext, which appears as random symbols. You can then transmit this ciphertext over the internet, and at the recipient's end, it will be converted back into its original form. Image encryption is a great way to keep your data secure.

Artificial Neural Networks (ANNs) are machines that can act like a human brain. Using two separate ANNs, images can be encrypted on the sending end and decrypted on the receiving end. MATLAB can be used to create a complete image encryption system utilizing ANNs. After undertaking this project, you will have a better understanding of the cryptography features of MATLAB.

• MATLAB assisting in the detection of drowsy drivers:

The finding of drowsy drivers is an important factor in reducing car accidents. There is various technology used to identify tiredness, such as EEG and eye blink sensors, and this project implements a web camera for the same purpose. It interfaces the camera with a computer to recognize a driver's eye movements when he is in a state of exhaustion and later on captures pictures of the driver when asleep. After that, the images can be obtained and processed using MATLAB.

• Create a Marking System for Attendance using MATLAB:

The project is intended to create an attendance record system via MATLAB by recognizing a face. This venture employs facial identification by doing two fundamental errands: identification and confirmation of individuals. Ordinarily, the attendance procedure in schools and universities can be finished by teachers, and the information is stored in registers. 

The proposed system can be utilized to take attendance automatically. This system uses two techniques, for example, LBP (Local Binary Pattern) and HOG (Histogram of Oriented Gradients), to recognize individual students' faces and compare them with the data stored in a database to check attendance. When the students' faces are distinguished, they are marked as present, and the data can be automatically transmitted directly to an Excel sheet.

• MATLAB-enabled Speech Recognition:

Using speech for computer-human communication is a crucial element of GUI (Graphical User Interface) and TUI (Text User Interface). Speech recognition plays a major role in any security project that requires inputting passwords or confidential codes. To boost the advancement of technology, a method was created to permit computers and humans to converse through the Voice User Interface. 

To evaluate the appropriateness of the signals, MATLAB was utilised to carry out cross-correlation, a procedure used to observe the most accurate signal from a collection of signals. This technique is employed when machines need to identify between the signals and act on them.

• Utilise MATLAB to Construct an Automobile Parking Signal:

Parking vehicles can be a task that requires much aptitude and practice. MATLAB can simplify this for the driver by formulating a vehicle parking detector. 

With the help of MATLAB, you can make an automated car parking signal that would notify the driver when the car is too near to an object. This would allow the driver to circumnavigate those objects and move the car correctly. One can create a car parking indicator for personal parking spots or outdoor areas. 

Such a system would have numerous advantages: 

• The driver would save time and park the car easily. 
• The likelihood of a vehicle getting damaged would significantly diminish.

This system can direct the driver to the closest suitable available parking space. It can incorporate the capability of proposing an appropriate parking place if there are open slots in the car park. The sensors can collaborate and assist with directing the driver to the closest empty parking area.

• MATLAB-powered High-Speed Railway Automation:

This initiative aims to create a PID feedback control system for the railroad transport system to obtain the desired speed automatically. This could help decrease rail mishaps by utilising fuzzy control simulation to observe the train speed and limit parking errors. This fuzzy control simulation is instrumental in exploring the procedure and operation of high-speed trains and reducing the issues concerning the automation of trains.

• Construct a Circuit Design Calculator:

Constructing a circuit requires using circuit theory and its equations to ascertain the values of the components. Among the oldest and most fundamental electrical engineering sectors, the calculations involved are quite time-consuming and laborious. 

To simplify the task, engineers can develop a MATLAB program to conduct the calculations and help fabricate a more efficient circuit. This system not only saves time but also eliminates the possibility of human errors and enhances the correctness of the analysis. 

The program can design intricate circuits with transistors, inductors, capacitors, diodes, and other essential elements and resolve any associated issues.

• Exploring MATLAB for Unveiling Skin Cancer:

It is well established that cancer is a deadly affliction for humans, largely caused by molecular alterations that lead to genetic instability. While there are various forms of the disease, skin cancer is the most commonly seen. A range of procedures is employed to identify this condition, such as extracting features and segmentation. MATLAB can be used to create software for the system that can detect cancer.

• Construct a laser-navigated route for a motorized conveyance:

In this MATLAB language basics project, you need to develop a program that utilizes lasers to alert the vehicle of approaching street conditions. This technology can be incredibly helpful for difficult terrains (like snow-covered routes, earth streets, and so forth). You should form a calculation in MATLAB that changes over the sweep arrangements into intelligible information so the client can see what kind of landscape is up ahead. 

• Compress Pictures while Retaining Quality:

Today's cameras can take extremely intricate photos. However, this also results in a bigger size of the image. To tackle this, image compression technologies have become widespread. One can apply MATLAB to complete the same task.

This project focuses on compressing an image without any degradation in quality, referred to as lossless image compression. To achieve this, the discrete cosine transform algorithm can be used. An indicator of how much loss has been incurred during compression can be obtained by computing the mean-square error (MSE). To implement these operations in MATLAB, the appropriate functions must be utilised.

These were some of the top MATLAB basics project ideas for you. While working on these projects, you may encounter many technical challenges which will boost your skills.

Conclusion

Working on the project during your college days or after graduation will help you to stay ahead of your peers. This activity will provide you with a real-time learning experience and motivate you to master cutting-edge technologies. 

If you are interested in working on industry-level projects, consider enrolling in Skill-Lync’s courses. Our students have completed many innovative projects using MATLAB for real-world applications. Through our course, you will get guidance from experienced mentors and placement support to kick-start your career. Talk to our experts to understand which course suits your learning needs.