The Python opencv library is mostly preferred for computer vision tasks. You can detect all the edges of different objects of the image.

Computer vision can be used to process images and perform various transformations on the image.

The idea is to build an app that will take an image as input from the user and convert it into a pencil sketching.

Contours are outlines or the boundaries of the shape. You can build a project to detect certain types of shapes.

For example: with a round shape, you can detect all the coins present in the image.

The project is good to understand how to detect objects with different kinds of shapes.

A collage mosaic is an image that is made up of thousands of small images.

To get a clear bigger picture composed of many small images it is required to position images properly according to the colors in the image.

You can build an app that will generate a big collage mosaic comprising hundreds of images inside.

Have you ever use the panorama mode in your smartphones?

Once you dive into computer vision, then you can build your own panorama app and it is very interesting to understand how panorama works.

Object tracking is the process of identifying where a particular object is present in the image.

Camshift algorithm is an effective way to track an object when the object size varies and rotates while moving.

QR code and barcodes are used everywhere and they store some information in them.

You can detect the QR code and Barcode from the image to process it further and decode the encrypted data.

In the harry potter movie, Harry uses an invisible cloak that lets the light pass through them. You can see what’s behind the cloak.

That is what you are going to build in this project.

Many businesses require watermarking on all the images. It is a repetitive task that needs to be automated.

You can build a project to automate the watermarking task on all images provided to the application.

Face detection is a technique to find the location of the human faces in an image.

Computers use various types of algorithms to detect if the shape in the image resembles a face or not.

You can build an app to automatically detect faces and capture the image in our system.

Blurring the face area of people from videos is done in all news channels and to hide the identity of a person.

With computer vision, You can automatically detect the face region of the person and use it to blur the image.

The project will be useful in blurring the faces of the people in the video.

Image segmentation is the process of dividing an image into multiple segments.

It is very useful in finding meanings from the image. They are used in object detection of self-driving cars.

In this project, you can build an application to upload the image on the app.

Then by performing different transformations on the image we can make the image look like a cartoon.

A camera can be used to monitor and count the number of people present in the room, building, street, etc.

First, you need to detect people and then we count their occurrence. It is useful to control the crowd.

Document images taken from the camera can contain background, and their perspective is not aligned properly.

So you can build a document scanner app that will fix this by detecting the edges of the document and then transform the perspective.

This is an interesting project in which you can draw anything by moving your hands in the air.

The project will use a camera to detect the fingertip and then we can draw the shape on the canvas.

Build a simple app that is responsible for detecting a particular color from the image.

There are millions of different types of colors and you cannot name each of them.

So you can use thousands of named colors to identify which color resembles close to the pixel from the image.

In a face recognition app, you not only detect if this is a face or not, you further recognize whose face is it.

This is very useful in labeling people’s names and also authenticating using face.

This project requires you to first feed data of the people you want to recognize and then you train the model that can recognize people.

In this project, you are going to determine the gesture of the hand in real-time using a webcam.

First, the background is separated from the hand region and then the fingers are segmented to predict hand gestures.

With different hand gestures, you can perform different actions.

You know it’s hard to take a beautiful picture of your dog as they are restless and always moving.

To solve this problem, you can make a system that will capture the image of the dog when the dogs are smiling and looking directly at the camera.

You can use the computer vision techniques to classify vehicles on the road, HMV(heavy motor vehicle) or LMV( light motor vehicle) and also count the number of vehicles that travel through a road.

The data can be stored to analyze the different vehicles that travel from a road.

To perform deep learning and machine learning, you need lots of data that is hard to find.

Data augmentation techniques are used a lot to increase the size of the dataset by performing rotations, transformations, zooming, flipping, etc.

In this project, you can build an interface to select the augmentation method and then generate more data.

Everyone loves a smiling picture, so how about making a camera app project which will capture images every time you smile.

So for this, you need to build a model to identify whether a person is smiling or not.

The idea behind this project is to make a virtual drum that you can play by using a stick in the air.

For this, the stick should be colored in the end that you will use to locate the position of stick and when it reaches a certain position a drum sound would be played.

A challenge is to also measure the sound intensity based on the speed of the stick movement.

The computer vision techniques can be used to find images that are similar to the selected image.

You need a database containing lots of images and then you can select an image to find similar images from the database.