Computer Vision In Augmented Reality
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The document presents a discussion on computer vision and its application in augmented reality (AR) and virtual reality (VR), highlighting the importance of etiquette during sessions, including punctuality and providing feedback. It explains how computer vision works, its applications like self-driving cars and healthcare, and the comparison between AR and VR. Furthermore, it showcases various uses of AR and computer vision in security monitoring and facial recognition, emphasizing their roles in enhancing real-world interactions.
Computer Vision In Augmented Reality
- 1. Presented By: ● Tanishka Garg ● Durgesh Gupta Computer Vision In Augmented Reality
- 2. Lack of etiquette and manners is a huge turn off. KnolX Etiquettes Punctuality Join the session 5 minutes prior to the session start time. We start on time and conclude on time! Feedback Make sure to submit a constructive feedback for all sessions as it is very helpful for the presenter. Silent Mode Keep your mobile devices in silent mode, feel free to move out of session in case you need to attend an urgent call. Avoid Disturbance Avoid unwanted chit chat during the session.
- 3. Our Agenda 01 Introduction to Computer Vision-Recap 02 What is Augmented Reality & Virtual Reality 03 04 Computer Vision Overlapping Augmented Reality 05 Demo How Does Computer Vision Enhance Augmented Reality
- 5. What is Computer Vision-Recap ● What is Computer Vision? ○ A field of Computer Science focuses on analyzing and processing visual images or videos intelligently like humans. ● How Computer Vision Works ○ Computer vision algorithms are based on pattern recognition. ○ We train computers on a massive amount of visual data-computers process images, label objects on them, and find patterns in those objects. ● Application of Computer Vision. ○ Self Driving Cars ○ Augmented & Mixed Reality. ○ Facial recognition ○ Health Care ● Challenges in Computer Vision ○ Inadequate hardware ○ Poor Data Quality ○ Proper Knowledge of Domain
- 6. What is Augmented Reality and Virtual Reality?
- 7. What is Augmented Reality and Virtual Reality? ● Augmented reality (AR) augments your surroundings by adding digital elements to a live view, often by using the camera on a smartphone. ● The mobile App Pokemon Go that became an inescapable sensation in 2016 also was the wonder of Augmented 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 remove vision of the real world and provide video to each eye allowing for depth of vision
- 9. Augmented or virtual reality? A direct comparison of the two technologies ● 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. ● VR users move in a completely fictional world, while AR users are in contact with the real world.
- 10. How Does Computer Vision Enhance Augmented Reality
- 11. How Does Computer Vision Enhance Augmented Reality ● It can help AR devices build a more accurate augmented environment. AR can determine where to place virtual images in accordance with space. ● AR devices use GPS and compass to understand the location of a person and the direction he or she is facing, to show images against the real world background. However GPS tracking may fail when the person commutes in a congested area. Sometimes, due to this inaccuracy, AR devices place virtual images at incorrect places and build inaccurate AR environments. ● Using Computer Vision techniques AR devices address the location challenges and build a more detailed augmented environment.
- 13. Application Of Augmented Reality and Computer Vision Image Placeholder Image Placeholder Image Placeholder ● Applications of Augmented Reality and Computer Vision Applications are as follows - ○ Autonomous Cars ○ Security Monitoring ○ Healthcare and Diagnostics ○ Image and Face Recognition ○ Vision Based Biometric Authentication
- 14. Augmented Reality and Computer Vision in Autonomous Cars Image Placeholder Image Placeholder Image Placeholder ● 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.
- 15. Augmented Reality and Computer Vision in Security Monitoring Image Placeholder Image Placeholder ● 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.
- 16. Augmented Reality and Computer Vision in Health and Diagnostics Image Placeholder Image Placeholder Image Placeholder ● 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.
- 17. Augmented Reality and Computer Vision in Image & Face Recognition Image Placeholder Image Placeholder Image Placeholder ● 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.
- 18. Augmented Reality and Computer Vision in Vision Based Biometric Authentication Image Placeholder Image Placeholder Image Placeholder ● Here is one of the greatest applications of computer vision and AI-powered facial recognition. Employees login virtually on the remote workspace. The unique biological retina of the user is used to verify the identity. ● Computer Vision and Artificial Intelligence empower the Face Reg application, which is an easy-to-use and scalable facial recognition app. It compares the features of faces or objects detected with images that come from a predefined dynamic dataset to provide maximum accuracy possible. It can also be used for video surveillance.
- 19. Demo
- 20. Thank You ! Get in touch with us: ML Studio, Knoldus Inc.