
Nura - Pioneering Augmented Reality Through Advanced Sensor Technology
Head of Product and Innovation Lead
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Project Overview
The Nura project was an ambitious innovation initiative to transform raw intellectual property into a cutting-edge augmented reality platform. By leveraging infrared and motion sensors for precise hand movement and object recognition, coupled with versatile output capabilities, Nura aimed to enrich interactions with real-world objects through augmented reality experiences.
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Problem Statement
The challenge was to evolve a loosely defined product vision into a tangible, functional prototype that could recognize and interact with physical objects in real-time, enhancing learning and exploration through mixed reality.

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My Process
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Hardware Collaboration: Negotiated and collaborated with sensor manufacturers to secure a robust hardware foundation.
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Machine Learning Development: Guided the machine learning team in creating a sophisticated ML ecosystem capable of recognizing hand gestures and object interactions.
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Hardware Ecosystem Redefinition: Strategically redesigned the hardware setup to diversify output options beyond micro projectors, including integration with screens and VR headsets.
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Prototype Development: Oversaw the design and fabrication of the hardware enclosure and led the development of a proof-of-concept experience.
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Game Engine Engineering: Managed a team of Unity developers to construct an interactive game that demonstrated the prototype's capability to track hand gestures, recognize gestures and objects, and facilitate mixed reality interactions.
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Solutions & Key Features
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Advanced Sensor Technology: Utilized infrared and motion sensors for nuanced hand movement tracking and object recognition.
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Flexible Output Options: Redefined the product to support a variety of output devices, enhancing the versatility and accessibility of the augmented reality experience.
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Interactive Proof of Concept: Created a compelling demonstration where users could interact with physical objects in augmented reality, supported by a range of output devices.
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Machine Learning Integration: Established a comprehensive ML framework for gesture and object recognition, enabling dynamic and responsive augmented reality experiences.

Proof of Concept Demo
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Tools & Techniques
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Tools Used: Engaged with cutting-edge technology and software, including Unity for game development, and collaborated with hardware and sensor manufacturers. Implemented machine learning algorithms for gesture and object recognition.
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Techniques: Applied agile project management to navigate the complexities of product development, fostering a collaborative environment that encouraged innovation and rapid prototyping.

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Results
The successful development of the Nura prototype marked a significant milestone in augmented reality technology, showcasing the potential for transformative interactions with the physical world. This project not only demonstrated the feasibility of the concept but also set the stage for future advancements in mixed reality applications.
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Reflection
Leading the Nura project was a profound learning experience, highlighting the importance of interdisciplinary collaboration in bringing innovative technology from concept to reality. It reinforced the value of flexibility in product development and the potential of augmented reality to enhance human interaction with the digital and physical world.