Image recognition is embedded in technologies that enable students with learning disabilities receive the education they need – in a form they can perceive. Apps powered by computer vision offer text-to-speech options, which allow students with impaired vision or dyslexia to 'read' the content. Applications of image recognition in education are not limited to special students' needs. The technology is used in a range of tools that push the boundaries of traditional teaching. For example, the app Anatomy3D allows discovery of the interconnectedness between organs and muscles in the human body through scanning of a body part. It revolutionizes the way students can explore anatomy and learn about the way our bodies function. Image recognition uses can also help educators find innovative ways to reach ever more distracted students, who are not susceptible to current methods of teaching. #7. Improving iris recognition Iris recognition is a widely used method for biometric identification. It's most common application is in border security checks, where a person's identity is verified by scanning their iris.
Files Permalink Failed to load latest commit information. Type Name Latest commit message Commit time An Image recognition application using AR(Augmented Reality) built using ARcore technology for android. ARcore built by google provides some of the key features for providing an elegant experience on Augmented reality. The application the tracks the trackable and observe the camera videos and on observing the object with the saved augmented images in databse the application will render the 3D model of object on rendered plane.
Computer vision is one of the main technologies that makes these advancements possible, and is fueling their rapid development and enhanced safety features. To enable autonomous driving, artificial intelligence is being taught to recognize various objects on roads. They include pathways, moving objects, vehicles, and people. Image recognition technology can also predict speed, location and behavior of other objects in motion. AI companies such as AImotive are also instructing their software to adapt to different driving styles and conditions. Researchers are close to creating AI for self-driving cars that can even see in the dark. #3. Boosting augmented reality applications and gaming Augmented reality experiments have long tantalized people's imagination. With image recognition, transposition of digital information on top of what we see in the world is no longer a futuristic dream. Unlike virtual reality, augmented reality does not replace our environment with a digital one. It simply adds some great perks to it.