Multi-Modal Sensor Integration

OcularAI glasses are equipped with an array of embedded sensors that allow them to capture rich, real-time data from the surrounding world:

  • Visual Sensors: Wide-angle HD cameras capture continuous, context-aware imagery of urban and environmental spaces. This visual data can support applications such as decentralized mapping, real-time event verification, or AI object recognition training.

  • Geolocation Modules: GPS and inertial sensors track precise spatial movement. These location streams form the backbone of location-based dApps, helping build decentralized navigation, traffic monitoring, and urban analytics.

  • Ambient Environment Sensors: Modules monitor real-world conditions like temperature, humidity, light levels, air quality, and ambient sound. This data can feed into decentralized environmental monitoring systems, enabling crowd-sourced sensing at scale.

  • Motion & Gesture Tracking: Accelerometers, gyroscopes, and proximity sensors detect head orientation and hand gesturesβ€”both for user control and activity mapping, enabling the network to better interpret context and behavior.

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