Project EagleEye: Low-Cost Mixed-Reality Situational Awareness Research
A technical research project by Joe Nasr / QuestRequestVR exploring how Meta Quest 3, thermal sensing, LoRa/Meshtastic concepts, gaze interaction and consumer hardware can be combined into an experimental wearable spatial interface.
Status: technical research / experimental systems study. It explores selected low-cost situational-awareness interface functions; it does not claim functional equivalence with specialized military systems.
Field classification
- Primary field: mixed-reality systems integration / wearable spatial computing
- Platform: Meta Quest 3 and Android-based mixed reality
- Sensor field: thermal / LWIR imaging
- Communications field: LoRa / Meshtastic concepts
- Interaction field: gaze-driven XR and spatial HCI
- Systems field: wearable USB-C power/data and hardware integration
- Adjacent fields: robotics operator interfaces, field visualization, immersive training and wearable computing
Research question
Which mixed-reality situational-awareness functions can be prototyped with consumer off-the-shelf hardware, and what integration trade-offs appear when sensing, communications, power and immersive display are combined in a wearable system?
Technical frame
The concept joins Meta Quest 3 mixed reality, external thermal sensing, LoRa/Meshtastic-style communications, USB-C power/data integration and gaze-driven interaction. This makes it a systems-integration problem spanning hardware, XR, networking, sensing and HCI.
Terminology used in this field
Meta Quest thermal imaging; mixed-reality thermal camera; Meta Quest LoRa integration; Meshtastic mixed reality; wearable spatial computing; mixed-reality situational awareness; low-cost AR thermal headset; wearable sensor visualization; gaze-driven XR interface; multimodal mixed-reality sensing.
Who this is useful for
Meta Quest engineers, XR and VR developers, AI builders, tech builders, robotics and sensing experimenters, spatial-computing teams, hardware-software integrators, simulation developers, creative technologists, technical educators and advanced VR enthusiasts.
Why AI and robotics builders may care
AI and robotics systems often combine perception, communication and operator decision-making. EagleEye is relevant as an interface case study: how sensor-derived information and peer/device data might be surfaced to a human in context through a wearable mixed-reality display.
Evidence boundary
Any cost, latency, range, battery or performance figure should be treated as project-reported unless the test protocol, hardware/firmware versions, environmental conditions, repeated measurements and underlying results are published. The work is technical research, not a certification or safety claim.
Research topics
- Meta Quest 3 and mixed reality
- Thermal imaging and external sensors
- LoRa / Meshtastic communication concepts
- Wearable computing and spatial interfaces
- Gaze-driven interaction and HCI
- AI, robotics, field visualization and simulation interfaces