What is Computer Vision?

• It's a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos, and other visual inputs — and take actions or make recommendations based on that information. 
• Interdisciplinary field – computers gain a high-level understanding of digital images or videos. 
• Automate the tasks that the human visual system does. 
• Methods for image acquisition, processing, analysis are included. 
• Extract high-dimensional data from the real world.

What is computer vision used for?

• Computer vision is used to detect and classify objects (e.g., road signs or traffic lights), create 3D maps or motion estimation, and played a key role in making autonomous vehicles a reality. 
• Self-driving cars collect data on their surroundings from sensors and cameras, interpret it, and respond accordingly. 

Real-time projects in Computer Vision

Here I am sharing the list of computer vision project ideas to help you get started in less than an hour:

• People counting tool

Building a people counting solution could be both—a fun project and one that actually finds real-world applications. To detect and count people present in an image, you’ll need a relevant training dataset and a data training platform. You can use a free tool like OpenCV to label your data or an auto annotation tool like V7 to complete this project faster.

• Colors detection

Next up is a simple colors detector that you can use for a wide variety of visual tasks. From detecting colors to build the green screen app—replacing the green background with a custom video or background—to a simple photo editing software, building a color recognizer is an awesome project to get started with Computer Vision.

• Object tracking in videos

Consider taking on a bit more advanced computer vision task—object tracking in a video. Object tracking is about estimating the state of the target object present in the scene from previous information. 

• Pedestrian detection

Building an object detection model to detect pedestrians is one of the simplest and fastest computer vision projects to complete.

•  Hand gesture recognition

Hand gesture recognition is a bit more advanced computer vision task requiring you to firstly separate the hand region from the background and then to segment the fingers to predict hand gestures.

• Human emotion recognition

If you decide to go with a bit more challenging task, consider building an emotion detection model. You can base your model on six main facial emotions: happiness, sadness, anger, fear, disgust, and surprise.

• Road lane detection

     Road lane detection is yet another computer vision model that plays a key role in the development of the automotive industry. Used primarily for self-driving cars, a road lane detector can be a fun beginner project that will help you get hands-on experience with both images and videos. 

•     Business card scanner

     Developing a business card scanner can be done using the OCR (Optical Character Recognition) technology. Your trained model will find and extract information from business cards. Essentially, this project will be divided into three phases: image processing (noise cancellation), OCR (text extraction), and classification (classifying key properties).

 

I hope this article is very much useful for you.

Let me know your comments.