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Computer Vision
Computer vision is a field of artificial intelligence that focuses on enabling computers to interpret and understand visual information. It involves the development of algorithms and techniques that empower machines to process, analyse, and extract meaningful insights from images or videos.
By analysing and processing visual data, computer vision systems can identify optical characters, objects, patterns, shapes, and even actions, enabling applications in diverse areas such as facial recognition, object detection, augmented reality and more.
Computer vision strives to automate and enhance tasks traditionally reliant on human vision.
Why do you need to use computer vision in your business
Businesses should leverage computer vision for its transformative potential in automating and enhancing various operations. Computer vision enables automated visual data analysis, allowing companies to extract valuable insights from images and videos.
Areas of application
Computer vision can be used in different ways including:
- Analysis: With computer vision you can analyse images and videos to extract details and insights. Details can include identifying what the contents on images are and for videos details can include analysis of what subjects are doing. A use case is in the security space where computer vision can analyse video content and identify when specific events or behaviour is taking place.
- Classification: With classification, computer vision algorithms enable the prediction of a category that an image belongs to. For example classification can be used to sort through multiple images and classify whether each image contains your business logo or not.
- Object detection: Object detection identifies objects in images and returns their coordinates in the image. A use case for this is performing inventory counts where the algorithm is trained to identify particular stock items and is then used to determine how many times the object is seen in an image.
- Facial detection: A special category of object detection is facial detection. Facial detection algorithms detect whether an image contains faces, as well as their coordinates. In addition, facial detection algorithms can perform further analysis such as face matching, facial recognition, and analysis of facial features. There are many use cases for face detection algorithms including biometric security, determination of the person’s mood, and identification of known people.
- Optical character recognition: Optical character recognition (OCR) is a special form of computer vision that focuses on written words rather than objects. OCR works on both typed and handwritten words. Use cases for OCR include reading text in images, and extracting words from documents to enable automated capture.