Computer Vision Projects

It is a field of Artificial Intelligence (AI) that enables computers to interpret digital images, videos, and other visuals and take recommended actions based on the model. Computer Vision trains machines to perform certain actions and functions. Computer Vision is very similar to human vision. 

Computer Vision Focuses on making digital systems that can process and analyze and image or other visual data the same way humans do. The fundamental idea of computer vision is to teach computers to process and understand visual data, for example- processing an image at pixel level and understanding it. 

The tasks that a computer vision system can do include the identification of objects, classification, and their tracking through visual images or the data. Let us understand these tasks more briefly as below:

Identification of Objects: The computer vision system processes the visual content and identifies the object as a video or a photo. For example, a computer vision system can identify any specific person from a group of persons in an image. This is how the identification of objects works in computer vision.

Classification of Objects: The classification of objects can be done by using computer vision. The computer vision system parses the visual data and classifies it as video or image content in a defined category. For example, the computer vision system can classify an object as a car from a group of objects in the image.

Tracking of Objects: The tracking of objects means finding the objects in a video that match search criteria, and also, the movement of the object can be tracked by use of computer vision. The objects in the video can be tracked by computer vision. 

The computer vision system uses an algorithm that is used to teach the system to identify or classify the objects in visual content provided as an input to the system. The system works just like human vision. Computer vision has greater importance when it comes to the needs of using automotive systems in artificial intelligence. Computer vision enabled the invention of self-driving cars. Self-driving cars are capable of driving on streets or highways without hitting any obstacles. This is all done by the use of computer vision systems.

Computer Vision is playing an important role in other technologies, too, such as face detection or facial recognition, augmented reality, and mixed reality, identification of photos, health-sector, etc. 

How does Computer Vision work?

Computer Vision learns the algorithms that we create, and based on the algorithm, it works on the objects just like the way the human brain works. Our brain relies on patterns to find and classify the objects that we see from our eyes. Based on this hypothesis, computer vision is created.

The algorithms that we use in computer vision are based on pattern recognition, just like our brain is based on pattern recognition. This way, we train our computer to identify and classify images or objects that are given as input through any webcam. Let’s take an example to understand better- if we provide thousands of images of the same kind of dogs to the computer vision algorithm to train the model; then after analysis of all the images, the system will be able to correctly find the specific dog from an image of dogs. This way, other objects are also identified and classified into a category.

Computer Vision Projects

Computer vision plays an important role in extracting meaningful information from images or videos. Computer vision has a wide range of applications such as analysis of images, identification of objects, classification of objects in security systems, image editing, and animation graphics. 

Computer Vision Projects are very important if you come from a background in computer science. It will help you learn the practical implementation of this system into reality and understand how it works. It will also help you to get a job. Let us see some projects below:

1) Face Detection: All human faces are of similar characteristics such as two eyes, a mouth, two ears, a nose, forehead, etc. Based on these characteristics, a face detection project can be made using the python OpenCV library’s CascadeClassifier() function. This project will detect the face from an image or a video that is provided to the system when training it for detection.

2) Face Recognition: This project is another computer vision idea that you can go for. For this project, you need to use the facial recognition library of python. We can recognize the faces of celebrities after training the system to recognize them.

3) Text Scanner: In this project, the python OpenCV and OCR library are used to scan the text written in any image or video. It is very helpful to find texts in images. To build this project, you need to work with images first and then utilize them for each frame in the video.

• QR and Barcode Scanner: This project is beginner-friendly in which you can quickly build the QR code or Barcode scanner using python pzybar library by the use of OpenCV. This library has a decode functionality that extracts the information from Barcode or QR codes.

• Handwritten Character Recognition: This project is used to recognize handwritten characters. This is a very interesting CV project. You can write any character in your handwriting, and the computer vision system will recognize what the character is. CNN (Convolutional Neural Network) is used in this project with the architectures LeNet-5, VGG-16, etc., for the classification of characters. 

• Edge Detection: This computer vision project is very useful for the tasks related to computer vision. We can detect the edges of an image from all angles of the object, and the output file will look like a drawing. It is a very interesting project, and python libraries are used to detect the edges of the object.

• Watermarking of Images: You may have seen while editing any photo or video, the watermark comes up in the free versions mostly. So, most companies require watermarking on all the images that they will use. To build the project, the watermarking tasks on all images are provided in the application.

• Invisible Cloak: You may have seen the invisible cloak of Harry Potter in his movie. He uses the cloak to get invisible, and light passes through it. This project is to edit and recognize the background colors from the images and videos. The process included in this invisible cloak project is capturing and storing the background color, detecting colors, generating a mask, and generating a final output that will give the invisible effect.

• Image Segmentation: In this project, the image is divided into segments which are very useful to find the meanings in the image. This project is very helpful in self-driving cars, in which the objects are segmented to find their meanings and take suitable actions based on the object.

• Cartoonizing an Image: This project is very creative and interesting to build. You may have used some application software to create the cartoon of your images. You can also create an application like that by yourself with the use of computer vision libraries. The libraries that you should use in this project are medianBlurr(), cvtcolor(), etc.