OpenCV final year project ideas and guidelines

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OpenCV (Open Source Computer Vision Library) is a machine learning and computer vision software library that is free to use. OpenCV was created to provide a standard infrastructure for computer vision applications as well as to speed up the incorporation of machine perception into commercial goods. OpenCV is easy for businesses to use and alter because it is a BSD-licensed software. In this article, we will discuss some OpenCV projects which will give you an overview of what can you do with OpenCV for your OpenCV final year project.


1. Gesture Volume Control

In this project, we'll learn how to alter the volume of a computer using Gesture Control. We'll start with hand tracking and then use hand landmarks to find a volume-changing gesture with our hand. This project is module-based, which means we'll be using a hand module that was previously constructed and makes hand tracking a breeze.

For more details, you can watch this Youtube video.


2. Attendance System

We will learn how to conduct high-accuracy facial recognition in this project. First, we'll go over the theory and learn how to put it into practice. Then we'll make an Attendance project that uses a webcam to recognize faces and automatically record attendance in an excel sheet.

For more details, you can watch this Youtube video.


3. Parking Space Counter using OpenCV Python

We're going to learn how to implement a Parking Space Counter in this project. We'll count how many automobiles are in total and how many parking places are available. The best part about this project is that we'll be solving the problem with basic Image Processing techniques.

For more details, you can watch this Youtube video.


4. OPTICAL MARK RECOGNITION (OMR) MCQ Automated Grading

In this project, we'll look at how to use OpenCV to develop an Optical Mark Recognition method in Python. We'll write the code from the ground up, line by line, while discussing the specifics of each line. We'll utilize the webcam to find the MCQ grades automatically.

For more details, you can watch this Youtube video.



5. Virtual Calculator using OpenCV 

In this project, we will create a virtual calculator that is controlled by finger gestures. We'll make a button class and 16 buttons to aid in the calculation.

For more details, you can watch this Youtube video.



6. Computer Vision Game (Velcro Dart Board)

In this project, we will construct a computer vision game in Python using OpenCV. We'll learn how to detect the balls and determine where they landed on the board. We'll take it to step by step so it's simple to follow.

For more details, you can watch this Youtube video.



7. Augmented Reality with OpenCV

We'll look at how to use OpenCV with Aruco Markers to accomplish real-time augmentation. We'll start with the fundamentals and then build a module to use in future projects.

For more details, you can watch this Youtube video.


8. Face Mask Detection 

To protect themselves, all citizens are now required to wear face masks. This application can be beneficial to all shop owners, offices, banks, and other public places because anyone who is not wearing a mask should not be permitted to enter. As a result, no guard or someone who keeps an eye on people is required to address this issue. We can incorporate a camera that takes continuous photographs of people and detects whether or not they are wearing a face mask by looking at their faces.

For more details, you can watch this Youtube video.



9. Real-time Human Detection & Counting

We'll develop a Human Detection and Counting System in Python using a Webcam or your own video or photographs in this project. This is an intermediate-level computer vision deep learning project that will help you grasp the principles and become a Data Science specialist. Let's work together to create something great.

For more details, you can read this article.


10. Vehicle Counting, Classification & Detection using OpenCV

This project will use OpenCV to create a sophisticated vehicle detection and categorization system. Using OpenCV-python, we'll employ the YOLOv3 model. Python's Open-CV package provides real-time computer vision. YOLO is compatible with OpenCV and can be used directly.

For more details, you can watch this article.



11. Virtual Drag and Drop using OpenCV

We will learn to develop a virtual drag and drop system in this project by using OpenCV and Python. Which can be a part of your  OpenCV final year project.

For more details, you can watch this Youtube video.


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