Category: Computer Vision (CV)

  •  Working with Images Using OpenCV

     Working with Images Using OpenCV

    OpenCV is one of the most popular libraries providing functions for computer vision. The library has functions for the following tasks. With OpenCV, users can easily do complex tasks such as identifying and recognizing faces and objects, tracking moving objects, stitching images together to generate an entire scene with a high-resolution image, etc. To install…

  • Convolutional Neural Networks (CNN)

    Convolutional Neural Networks (CNN)

    Convolutional neural networks are a special type of neural network that roughly imitates human vision. Initially, they were used to recognize handwritten digits and were especially used in the postal sectors to read zip codes, pin codes, etc. as shown in Fig. 6.12. A CNN requires a large amount of data and computing resources to train.…

  •  Understanding Image Pixels

     Understanding Image Pixels

    Pictures displayed on a digital screen like a monitor or are simply in digital form are made up of thousands of tiny dots also known as pixels. The word ‘pixel’ means ‘picture element’ indicating one single dot. In coloured images, pixels of different colors are arranged alongside each other to represent different shades of colors.…

  • Challenges in Computer Vision

    Challenges in Computer Vision

    Though computer vision has emerged as one of the top fields of machine learning, there are several obstacles that makes it difficult to become a leading technology. Human vision is a complicated and highly effective system which is difficult to replicate through technology. Given below are certain issues and challenges faced by computer vision algorithms.…

  •  Which Vision Succeeded?

     Which Vision Succeeded?

    It is interesting to note that certain experiments were carried out in Germany to address the void between computer and human vision. Experiment 1 was conducted to understand how neural networks perceive contours (or boundary). For this, both the human and the AI participant were shown an image and asked whether it has closed contour or…

  •  Applications of Computer Vision

     Applications of Computer Vision

    Once the images are understood, computer vision is then used in the following areas.   Amazon Go Store uses Computer Vision technique to allow customers who have installed the Amazon Go application on their mobile devices to no longer stand in long queues in the super market. They just go to the store, pick up…

  • Computer Vision (CV)

    Computer Vision (CV)

    Computer vision is a field of artificial intelligence that helps computers gain a high level of understanding from digital images or videos. It is done by acquiring images, processing them, analysing them and finally understanding the information they are conveying. If AI allows computers to think, computer vision helps them to see, observe and understand.…