IBM Computer Vision: Empowering Machines to See and Understand

Overview: .

         IBM's Computer Vision is a field of artificial intelligence (AI) that uses machine learning and neural networks to enable computers and systems to derive meaningful information from digital images, videos, and other visual inputs. It allows machines to see, observe, and understand, much like human vision. It surpasses human capabilities by analyzing thousands of products or processes per minute, noticing imperceptible defects or issues.

Users:

         IBM's Computer Vision is used by developers and businesses who connect to the services through an application programming interface (API) to develop computer vision applications.

Goal:

         The goal of IBM's Computer Vision is to bridge the gap between pixels and "meaning". It trains machines to perform functions such as telling objects apart, gauging how far away they are, whether they are moving, or if something is wrong with an image.

Uses and Features:

1. Image Recognition: It can recognize and classify images, making it useful in various applications.
2. Object Detection: It can detect and identify objects within an image.
3. Object Tracking: It can track the movement of objects in videos.
4. Creating Custom Models: Users can create custom models tailored to their specific needs.
5. Using the Model: The created model can be used in various applications.

How it Works:

1. Computer vision needs lots of data.
2. It runs analyses of data over and over until it discerns distinctions and ultimately recognizes images.
3. To train a computer to recognize a specific object, it needs to be fed vast quantities of related images.
4. It uses a type of machine learning called deep learning and a convolutional neural network (CNN).
5. The CNN helps a machine learning or deep learning model "look" by breaking images down into pixels that are given tags or labels.

Customer Companies Statistics:

1. IBM's Computer Vision is used in industries ranging from energy and utilities to manufacturing and automotive.

2. The market for computer vision is continuing to grow and is expected to reach USD 48.6 billion by 2022.

3. Companies such as IBM offer computer vision software development services.

4. These services deliver pre-built learning models available from the cloud.

5. They also ease demand on computing resources.