Homebreadcumb forward arrow iconBlogbreadcumb forward arrow iconData Sciencebreadcumb forward arrow iconTop 8 Image Processing Projects Using Python [2023]

Top 8 Image Processing Projects Using Python [2023]

Last updated:
22nd Sep, 2022
Read Time
10 Mins
share image icon
In this article
Chevron in toc
View All
Top 8 Image Processing Projects Using Python [2023]

Every image comes with a story as well as detailed information through varied visual components. The image and relevant details around the same are useful across a number of domains. The information related to any image is extractable using a technique called Image Processing for image processing projects.webinar

These image processing projects in Python work as a basic part of all computer vision playing an important role in assisting real-life examples such as cars that are self-driven, acrobatics as well as object detection through deep learning. 

Image Processing Projects

Image processing is gaining much popularity in the tech industry because of its integration into various autonomous services. So, if you are a Python beginner, the best thing you can do is work on some real-time image processing projects. A digital image can be represented as a collection of pixels. The pixel is the smallest unit of an image. These pixel values contain the corresponding RGB (Red, Green, Blue) values that represent the proportion of colour contribution to the image, and a mixture of these build up an image. 

This field finds its application in almost every domain such as education, scientific and medical studies, traffic control, and government services. The image processing is most preferably done using deep learning as the image data is available in huge numbers and as the image is a matrix of numbers, it is easy to pass it to several layers of neurons and extract the important features from the image. These features help in deciding the action to be taken if this system is integrated into an application. The more you experiment with different image processing projects, the more knowledge you gain.

In this article, we will be exploring some interesting image processing projects which beginners can work on to put their knowledge to test. In this article, you will find top image processing project ideas for beginners to get hands-on experience on Python. 

No Coding Experience Required. 360° Career support. PG Diploma in Machine Learning & AI from IIIT-B and upGrad.

Image Processing Projects Using Python

Here we present you a list of 7 Image processing projects that can be built using Python and with which you can kick-start your journey to explore and add a new skill to your CV. These projects are not ranked in any order of difficulty and require you to understand Numpy which is the numerical computing library, OpenCV that allows you to process these images, CNN (Convolution Neural network) for extracting the features, and other project-specific libraries. 

1. Image-Based Attendance System

One of the best ideas to start experimenting you hands-on image processing projects is working on Image-based attendance system. As the educational institutes are adopting new technologies every single day, the attendance system in most institutions is still fingerprint or facial biometrics, but during this coronavirus situation, a contactless attendance system can be implemented using image processing.

The faculty member would simply take a group photograph of the class and after uploading that image to the cloud system, the attendance for the students will be marked. This makes the system fully digital and contactless. However, a student database for verification, storage for images, and other requirements will be required, but you can test out this project on a small scale. 

2. Live Air Games 

This project will make use of OpenCV and Python Pygame module. The Pygame module is a 2-D game development engine in Python that offers various tools for I/O and other functionalities. The player’s instructions can be captured via the webcam in the designated regions of the screens. Live Air games are one of the best image processing projects. 

Instructions include moving left, right, jumping, or grasping something. The live camera feed needs to be broken down into frames and then matching them with the instruction database for moving the player. You can implement this either on an existing game like Hill climb racing or create a new one for this!

Checkout: Python Projects on GitHub 

3. Smart Traffic Lights System

We all know that while travelling by roads, the traffic lights stoppage can annoy when the traffic is minimal or not at all, even so, we have to wait for the green signal to avoid any police disruption. What could be implemented is a smart lights system that analyses the traffic situation and accordingly adjusts the timing of the lights?

The live image feed can help in deciding the density of traffic and if horn sounds are also taken into consideration, a robust system could be developed. The system should give frequent green signals when the traffic density is low and more controlled flow when there is heavy congestion. A bias for emergency vehicles could also be added, allowing them to go through signals faster. 

Learn data science course online from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs, or Masters Programs to fast-track your career.

Explore our Popular Data Science Courses

upGrad’s Exclusive Data Science Webinar for you –

ODE Thought Leadership Presentation


4. Snapchat Filters

Ever used Snapchat? In a nutshell, it is a popular messaging app that majorly focuses on photos and video sharing. This app offers various filters that allow users to create funny and theme-specific photos. These filters use the point face detection algorithms (for example, Haar-like feature) to structure out the important facial landmarks from the image and apply the custom filters or effects on them. This is one of the simple image processing projects yet an exciting one.

Data Science Advanced Certification, 250+ Hiring Partners, 300+ Hours of Learning, 0% EMI

You can take up the algorithm for points face detection and apply your work to them. This project will have the tech stack of Numpy, OpenCV, pillow and if you want to implement your own facial landmarks algorithm, then you can try that with the dlib library for Python.

Our learners also read: Free Python Course with Certification

5. Image Classifier for Similar Types

A user may end up downloading a lot of images in their local machine and it gets filled up quickly. You could come up with a classifying system that puts the images in separate folders depending upon the category of the images. Similar images can be placed in one folder and blurred or distorted images in a separate folder. The images need to be analyzed for similarities.

Mentioning image processing projects can help your resume look much more interesting than others.

Also read: Excel online course free!

Read our popular Data Science Articles

6. Air Pollution Checker

Today most of us have been suffering from the pollution crisis. You can easily spot the difference between a cloudy or polluted environment just by looking at the sky, and this can be the main driving source of this project. The input for the application would be the image from the user via their mobile application or web portal depending upon the deployment, and after processing them, the result would be displayed on the screen. This is one of the excellent image processing projects for beginners.

For this project, you will need a huge dataset of cloudy, polluted, and clear sky images. Some of it is available on Kaggle, which is the Hub for data science and machine learning datasets, and some of them you can create of your own! 

7. Anti-Cheat System

Due to the covid situation, most of the University exams are being conducted via the online mode. It becomes difficult for the teachers/faculty to monitor the status of the students. An anti-cheat system can be developed that can detect if any unfair practice is performed by a candidate.

The system should be able to detect any outgoing navigation from the test screen. The candidate not looking at the screen for more time should be warned about the same and if the same activity is repeated several times, then it should be reported to the authorities to take the necessary action. 

8. Bonus Project: Image Editor

You can build up an image editor all using Python! The GUI for this can be made using Tkinter which is a Python GUI package. All the operations such as edit, crop, colour change, background blur, image merging, rotating, resizing, or dragging can be customized using Numpy and OpenCV. This project can take much time to create functions for all the required operations, but it will give you a good knowledge of image processing. 

Read: Python Project Ideas & Topics

Top Data Science Skills to Learn

How Image Processing Helps In Image Processing Projects With Source Code?

Image processing as a concept allows the transformation and manipulation of multiple images at a given time. This also helps extract vital information from them to help with image processing projects with source code. Naturally, there are multiple applications associated with such image processing projects with source code. Python is a highly popular programming language used for the purpose of image processing. It has a host of libraries and relevant tools that help to achieve the tasks for image processing at a very efficient level. One of the most prominent use cases of image processing is found in medical image processing projects using Python. For instance, in medical image processing projects using Python, the detailed steps of image processing initiate a deep learning algorithm to extract useful insights from thousands of images and implement them in medical diagnoses. This helps obtain clearer images through noise reduction, leading to better-diagnosed images and accurate analysis for precise treatment. 

Python is a programming language but is significantly used for image processing purposes due to its ease and efficiency. It has amazing libraries as well as efficient techniques that process images finely, making it one of the most popular languages to be used for image processing projects. 


In this article, we have covered 8 image processing project ideas. These projects are not the end of your exploration. There are numerous applications of Image processing in every industry. The medical industry uses it for early cancer, malaria, and other diseases detection. This field requires a thorough understanding of matrix algebra, transformations, and various types of mathematical distributions. 

I hope you will learn a lot while working on these python projects. If you are curious about learning data science to be in the front of fast-paced technological advancements, check out upGrad & IIIT-B’s PG Diploma in Data Science and upskill yourself for the future.

If you are curious to learn about data science, check out IIIT-B & upGrad’s Executive PG Program in Data Science which is created for working professionals and offers 10+ case studies & projects, practical hands-on workshops, mentorship with industry experts, 1-on-1 with industry mentors, 400+ hours of learning and job assistance with top firms.




Rohit Sharma

Blog Author
Rohit Sharma is the Program Director for the UpGrad-IIIT Bangalore, PG Diploma Data Analytics Program.

Frequently Asked Questions (FAQs)

1What is image processing and what are its application areas?

Image processing refers to the process of drawing out useful information from an input image or enhancing the input image to achieve the desired results. The real-time applications of image processing can be found in almost every domain:
1. The medical field uses image processing for analyzing test reports, x-rays, medical scans and UV imaging.
2. Computer vision primarily uses image processing and is used in various systems such as self-driving vehicles, 3D motion games, drones, and robotics.
3. Other applications of image processing include restoring old videos and images, pattern recognition, and multimedia security.

2Name some of the most popular Python libraries for image processing.

Python is the most suitable language for image processing due to the feature-rich libraries that it provides. The following are some of the top Python libraries that make image processing very convenient.
1. Open CV
Open CV is hands down the most popular and widely used Python library for vision tasks such as image processing and object and face detection. It is extremely fast and efficient since it is originally written in C++.
2. Sci-Kit Image
The conversation over Python image processing libraries is incomplete without Sci-Kit Image. It is a simple and straightforward library that can be used for any computer vision task.
3. SciPy
SciPy is majorly used for mathematical computations but it is also capable of performing image processing. Face Detection, Convolution, and Image Segmentation are some of the features provided by SciPy.
4. Matplotlib
Matplotlib is a library generally used for data visualization in various forms such as scatterplots, bar graphs, pie charts, and line charts. It can also be used for image processing however, it does not support some file formats.

3How can I make a smart traffic light system?

The smart traffic light is a common and interesting image processing project where the model analyzes the traffic situation and changes the lights accordingly. It captures the live images of the traffic. You can also feed the horn voices for even better performance.After analyzing the given data, it changes the colour of the light to green if the traffic density is low, yellow if it is medium, and red if the traffic is dense. For emergency vehicles like an ambulance, a bias could be added to the model too.

Explore Free Courses

Suggested Blogs

Python Free Online Course with Certification [2023]
Summary: In this Article, you will learn about python free online course with certification. Programming with Python: Introduction for Beginners Lea
Read More

by Rohit Sharma

20 Sep 2023

Information Retrieval System Explained: Types, Comparison & Components
An information retrieval (IR) system is a set of algorithms that facilitate the relevance of displayed documents to searched queries. In simple words,
Read More

by Rohit Sharma

19 Sep 2023

26 Must Read Shell Scripting Interview Questions & Answers [For Freshers & Experienced]
For those of you who use any of the major operating systems regularly, you will be interacting with one of the two most critical components of an oper
Read More

by Rohit Sharma

17 Sep 2023

4 Types of Data: Nominal, Ordinal, Discrete, Continuous
Summary: In this Article, you will learn about 4 Types of Data Qualitative Data Type Nominal Ordinal Quantitative Data Type Discrete Continuous R
Read More

by Rohit Sharma

14 Sep 2023

Data Science Course Eligibility Criteria: Syllabus, Skills & Subjects
Summary: In this article, you will learn in detail about Course Eligibility Demand Who is Eligible? Curriculum Subjects & Skills The Science Beh
Read More

by Rohit Sharma

14 Sep 2023

Data Scientist Salary in India in 2023 [For Freshers & Experienced]
Summary: In this article, you will learn about Data Scientist salaries in India based on Location, Skills, Experience, country and more. Read the com
Read More

by Rohit Sharma

12 Sep 2023

16 Data Mining Projects Ideas & Topics For Beginners [2023]
Introduction A career in Data Science necessitates hands-on experience, and what better way to obtain it than by working on real-world data mining pr
Read More

by Rohit Sharma

12 Sep 2023

Actuary Salary in India in 2023 – Skill and Experience Required
Do you have a passion for numbers? Are you interested in a career in mathematics and statistics? If your answer was yes to these questions, then becom
Read More

by Rohan Vats

12 Sep 2023

Most Frequently Asked NumPy Interview Questions and Answers [For Freshers]
If you are looking to have a glorious career in the technological sphere, you already know that a qualification in NumPy is one of the most sought-aft
Read More

by Rohit Sharma

12 Sep 2023

Schedule 1:1 free counsellingTalk to Career Expert
footer sticky close icon