To understand the overlapping of Computer Vision and Augmented Reality, Let’s understand what is computer vision, augumented reality and virtual reality.
- A field of Computer Science focuses on analyzing and processing visual images or videos intelligently like humans.
- Enable machines to learn and understand the images at pixel level through training and validation.
- Machines retrieve visual information, handle it & interpret the result by getting training from special ML software algorithms.
- Augmented reality (AR) augments your surroundings by adding digital elements to a live view.
- For example, The mobile App Pokemon Go that became an inescapable sensation in 2016 is one of the classic example of augumented reality.
- Virtual reality (VR) is a completely immersive experience that replaces a real-life environment with a simulated one.
- Some of the VR devices are Oculus Rift, Samsung Gear VR, HTC Vive, Google Daydream View, or Google Cardboard. These headsets allows us to experience the virtual reality and remove the real world.
A direct comparison of Augmented Reality and Virtual Reality
- VR creates an immersive virtual environment, while AR augments a real-world scene.
- VR is 75 percent virtual, while AR is only 25 percent virtual.
- VR requires a headset device, while AR does not.
Application of Augmented Reality and Computer Vision
Augmented Reality and Computer Vision in Autonomous Cars
- Computer vision is one of the ways self-driving cars can make sense of their surroundings.
- Pictures taken from different angles are fed to the software. Then it processes the images to know the real-time situation of the road.
- For example, Tesla cars come with autopilot mode. Autopilot Augmented Vision is the new autonomous driving feature of Tesla. Their windscreens show augmented information.
Security Monitoring with Augmented Vision and Computer Vision
- Imagine, if your CCTV camera notifies if something unusual happens. For example, if something catches fire or a stranger lurks around the house, you get an instant alert and prevent an unfavorable situation. This is the wonder of computer vision.
- Umbo AiDome is a wonderful example of just that. They’ve come up with an autonomous security system that protects people and valuable assets alike.
Augmented Reality and Computer Vision in Health and Diagnostics
- By Computer vision and Augmented Reality we can detect cancerous moles in skin images and finding symptoms in x-ray and MRI scans can be automated.
- For example, Touch Surgery mobile application allow anyone in the world to learn and prepare for surgery based on industry-approved best practices.
Image and Face Recognition with Augmented Vision and Computer Vision
- The role of computer vision in facial recognition apps is essential. This technology allows computers to match the images of people’s faces to their identities. The algorithms detect facial features in images and compare them with its database of face profiles.
- A brilliant example of this would be Uplara. It’s a virtual try-on for e-shoppers. The amazing thing about this one is that you can integrate it on your Shopify store, and give people an AR-powered eCommerce experience.
In this blog we learnt how Augmented Reality is overlapping with Computer Vision.