Forging the Future Warrior: A Step-by-Step Guide to Building Military Smart Glasses

Introduction

Imagine a soldier on the battlefield who can order a drone strike with a glance and a word, see enemy positions overlaid on their vision, and share real-time intel with autonomous systems. That's the vision behind Anduril and Meta's quest to create augmented-reality (AR) headsets for warfare. While these systems are still years from deployment—the Army won't decide on a production model until 2028—the development process offers a blueprint for how cutting-edge tech can transform military operations. This guide breaks down the key steps, from defining requirements to testing AI-powered prototypes, drawing on insights from Anduril's SBMC and EagleEye projects.

Forging the Future Warrior: A Step-by-Step Guide to Building Military Smart Glasses — Source: www.technologyreview.com

What You Need

Defense contract or self-funding (e.g., Anduril's $159 million SBMC contract or its own investment in EagleEye)
Software platform like Anduril's Lattice for integrating military hardware data
Augmented-reality hardware partner (e.g., Meta for AR glasses)
Large language models (LLMs) from providers such as Google Gemini, Meta Llama, or Anthropic Claude
Helmet integration system for mounting AR glasses
Eye-tracking and voice command technology
Drone and sensor network for real-time data feeds
Team of engineers, military advisors, and AI specialists

Step-by-Step Process

Step 1: Define the Operational Requirements

Start by identifying the core mission needs. For the U.S. Army's Soldier Born Mission Command (SBMC), the goal was to create a wearable computer that gives soldiers a tactical advantage. Anduril's vice president and former Special Operations commander Quay Barnett emphasizes optimizing 'the human as a weapons system.' Key requirements include: hands-free access to maps, compass, drone positions, and AI-recognized targets; ability to order actions like evacuations or strikes via natural language; and seamless data sharing between soldiers and drones.

Step 2: Secure Funding and Partnerships

Development requires significant investment. Anduril secured a $159 million prototyping contract for SBMC in 2024 and partnered with Meta for AR glasses. For its self-funded EagleEye program, Anduril designed its own helmet/headset combo without a military request. Secure either government contracts or private funding. Establish partnerships with AR hardware makers (e.g., Meta), AI companies (e.g., Google, Anthropic), and drone manufacturers.

Step 3: Develop the Core Software Platform

Use a central software hub to unify data. Anduril's Lattice platform ingests feeds from various military hardware—drones, sensors, vehicles—and presents a single picture. The Army committed $20 billion to integrate Lattice across its infrastructure. Your platform must support real-time data overlay, AI analysis, and decision support. Ensure it can handle multi-step tasks: for example, directing a drone to scout an area and automatically suggesting strike options when a target is found.

Step 4: Integrate Artificial Intelligence and Voice Control

The headset must understand plain-language commands. Test different large language models (LLMs)—Anduril is evaluating Google Gemini, Meta Llama, and Anthropic Claude. Train the LLM to translate soldier speech into actionable software commands. For instance, a soldier might say 'Order an evacuation for the injured soldier at grid 1234' or 'Plan a route avoiding these coordinates.' The LLM should also handle multi-step instructions, like 'Send a drone to recon area X and return when it detects artillery.'

Step 5: Design the Augmented Reality Display

Work with an AR hardware partner (Meta) to create lightweight glasses that attach to military helmets. The display must overlay information without obstructing vision. For SBMC, glasses attach to existing helmets; for EagleEye, a custom helmet is designed. Overlays can be simple (compass) or complex (full terrain map with enemy positions and drone locations). Include eye-tracking to determine what the soldier is looking at—potentially enabling commands like 'strike that target' by simply staring and speaking.

Step 6: Build Sensor and Drone Integration

Create interfaces for drones and other sensors to feed data into the AR display. The system should show nearby drone locations and allow the soldier to control them via voice and gaze. Enable 'seeing together'—where drones and soldiers share the same view and decisions are made collaboratively. For example, a drone spots a truck, the AI recognizes it as a threat, and the system recommends a strike, which the soldier can approve through normal chain of command.

Step 7: Test and Iterate Prototypes

Conduct field tests with military personnel. Anduril's prototypes are still years from production—the Army won't choose a final SBMC model until 2028, and previous efforts (like Microsoft's) were cancelled due to viability issues. Focus on usability: Is the headset comfortable? Does the AI understand commands accurately? Can the system handle multiple simultaneous tasks? Gather feedback from soldiers on the front lines. For the self-funded EagleEye, demonstrate the product to military buyers and prove its superiority.

Tips for Success

Prioritize modularity: Design the system to work with various LLMs and hardware, as AI models evolve rapidly.
Emphasize user safety: The interface must not distract soldiers in combat; overlays should be subtle and voice commands reliable.
Plan for ethical constraints: Ensure that lethal actions (like drone strikes) require human approval through established military chains of command.
Anticipate integration challenges: The Army's $20 billion Lattice integration shows deep infrastructure needs—start early.
Stay agile: The technology is advancing quickly; what works today may be obsolete tomorrow. Continuous prototyping is key.
Learn from failures: Microsoft's $22 billion contract cancellation highlights the difficulty of making AR glasses combat-ready. Test early and often.

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