Spatial Computing is redefining the reality of future warfare by using a combination of Virtual Reality (VR) and Augmented Reality (AR) technologies.
VR creates hyper-realistic scenarios for simulated training or mission planning, while AR enhances the real world by overlaying additional virtual layers.
For instance, Israeli Defence Forces (IDF) trained for tunnel warfare against Hezbollah using VR headsets without physically being underground.
The Integrated Visual Augmentation System (IVAS) with the US military and the Military Augmented Reality System (MARS) by Chinese People’s Liberation Army (PLA) are advanced AR models that upgrade a soldier’s sensory perception, target acquisition and target engagement.
However, the systems have yet to see deployment on an actual battlefield due to inherent limitations, such as information and cognitive overload. Cognitive overload could retard situational awareness in combat.
Moreover, the AI-augmented nature of this technology raises legitimate apprehensions regarding cyber-threats such as data breaches or jamming.
The exorbitant costs associated with these devices could limit adoption and militarisation of this technology.
To maximise the utility of emerging technologies, rigorous R&D and regular trials are essential. Machine learning (ML) can play a pivotal role by filtering massive data streams and prioritising critical information in real-time.
ML-driven encryption and advanced security protocols are vital to safeguard devices from cyber threats, with indigenisation emerging as a key solution for long-term cybersecurity resilience.
Developing headsets with weather-resistant, adaptive materials will be crucial for their reliability in extreme operational environments.