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Develop a mobile application for marketing and entertainment to integrate media content that is world-locked within a three-dimensional environment, utilizing real-time object detection, image processing and spatial augmented reality algorithms.
In the rapidly evolving field of Augmented Reality (AR) and Virtual Reality (VR), the demand for professionals who can navigate the unique software development models and methods is high. In this Build Project, you will step into the role of an AR/VR Software Developer and develop an application that can overlay augmented content on device camera frames. Under the guidance of an industry expert, you will explore and evaluate the specifications and performance of various mobile phones in the market that can be used for real-time object inference and world-locked rendering.
You will delve into the intricacies of Simultaneous Localization and Mapping (SLAM) algorithms, which are crucial for world-locked rendering of overlay media content. Furthermore, you will identify the best methods and algorithms suited for real-time object inference and augmentation rendering to camera frames.
You will become familiar with AR/VR technologies and their unique software development cycles, using tools and methodologies like Unity, C#, and ARCore. All this will happen in an environment that simulates the operations of a real AR/VR development team. By the end of the project, you will have a functional application that can be further expanded and improved by adding other metadata as an augmentation layer on top of camera frames.
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Milad Mazi is a System and Firmware Engineer at Delart Technology Services, collaborating with Meta (Facebook) on next generation AR/VR devices.
Milad specializes in computer science, embedded systems, firmware development, and wireless communication technologies.
Milad has over 7 years of experience in Electrical and Computer Engineering. He has held roles as an Embedded System Developer, College Instructor, Research Assistant, and Sessional Instructor. His technical and instructional expertise contributes significantly to his current work at Delart and Meta.
He holds a Master's degree in Electrical and Computer Engineering from the University of Waterloo in Ontario, Canada, and currently resides in Redmond, Washington, United States.