Re-Architecting ARCortex's Unity-Based AR Platform

ARCortex has developed a Unity-based platform that integrates various APIs and SDKs to provide a wide range of AR capabilities, including cross-platform support, multi-user functionality, tracking, and environment reconstruction. However, the current platform is aging, leading to performance, maintenance, and scalability challenges. The goal of this project is to re-architect the platform using newer technologies such as dynamic package loading, OpenXR standardization, and incorporating Large Language Models (LLMs) and Machine Learning (ML). Additionally, the project aims to address security concerns, move processing to the cloud, and make the platform production-ready for the AR development market. The ultimate objective is to enable the quick creation of complex, multi-user, georeferenced AR applications with minimal coding through a user-friendly studio interface.

Cybersecurity Compliance and Risk Assessment for AR Solutions

ARCortex, a company specializing in Augmented Reality (AR) solutions, aims to compete for government programs and access Controlled Unclassified Information (CUI). To achieve this, the company must comply with stringent cybersecurity policies such as the Cybersecurity Maturity Model Certification (CMMC) and NIST 800-171. This project involves assessing the current cybersecurity posture of ARCortex and developing a comprehensive plan and roadmap to implement necessary fixes. The assessment will include a detailed review of the company's general IT environment and a focused analysis on the unique cybersecurity risks associated with AR devices like Head-Mounted Displays (HMDs) and drones. Urgent recommendations should be identified and implemented promptly to mitigate immediate risks.

Real-Time AR Mesh Alignment Using AI

ARCortex is seeking the development of a real-time process or algorithm to align and merge static terrain mesh data with dynamically scanned 3D mesh data collected locally around the user. The goal is to ensure accurate collision detection and occlusion in their AR system, which is built using Unity and targets Android and iOS platforms. The project involves exploring AI techniques to enhance the speed and robustness of the alignment process. The solution should be capable of running on a mobile device or communicating with the Unity app via an API, even if it requires a separate process or machine. This project provides an opportunity for learners to apply their knowledge of computer vision, AI, and AR development in a practical, industry-relevant context. Key points: - Develop a real-time algorithm for aligning static and dynamic 3D mesh data. - Ensure accurate collision detection and occlusion in the AR system. - Explore AI techniques for faster and more robust alignment. - Implement the solution to be compatible with Unity on Android and iOS.

Real-Time AR Smoke Simulation in Unity

ARCortex seeks to develop a cutting-edge algorithm or process to render realistic smoke effects in an augmented reality (AR) display. The project involves creating a simulation that can be integrated into Unity using C# and is compatible with both Android and iOS mobile platforms. The primary goal is to achieve a realistic representation of smoke within a 3D model of a room or tunnel, ensuring that the smoke fits the geometry of the environment and propagates in a lifelike manner. The smoke should appear denser when viewed over longer distances, mimicking real-world behavior. The process should aim for real-time performance, though a small amount of preliminary processing is acceptable if necessary. Techniques such as GPU acceleration, AI, particle effects, neural radiance fields (NeRFs), and Gaussian splatting or any other relevant techniques can be utilized to achieve the desired effect. The final solution should allow the smoke to start at a specific point within the 3D model and propagate realistically from any viewpoint.