ARC-B Roadmap for Edge AI Expansion
ARC-B is ArcNexa's Edge AI roadmap, designed to extend the intelligence of the ArcXphere Platform from centralized operations to field devices.
It enables the imagery, geospatial data, and intelligence managed by ArcXphere to be executed directly at the operational edge. Built with real-world deployment in mind—including communication-constrained environments, low-power systems, and diverse field platforms—ARC-B aims to evolve into an Edge AI architecture capable of imagery interpretation, object detection, and situational awareness.
Roadmap Keywords
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· Planned Edge AI Computer
A next-generation Edge AI computer designed to bring ArcXphere intelligence directly to field devices.
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· Discover ES RoadmaEmbedded Vision AI Roadmap
A technology roadmap for extending embedded image interpretation and object detection through an on-device AI architecture.
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· Mission AI Vision
Future AI vision capabilities that support image interpretation and situational awareness in mission-critical environments.
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· Sensor Fusion
Integrating geospatial information with multi-sensor data to enable intelligent field operations.
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· Offline Operations
Designed to support fully autonomous operation even in communication-denied or disconnected environments.
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Planned Field Edge AI Computer
ARC-B is the next evolution of Edge AI, extending intelligence from the cloud to the operational edge.
Designed for deployment across personal devices, vehicles, combat systems, and aerial platforms, ARC-B brings AI-powered analysis, situational awareness, and decision support directly to where data is generated.
By reducing dependence on centralized infrastructure, ARC-B enables autonomous operations in communication-denied, offline, non-line-of-sight (NLOS), and GPS-denied environments. Through the fusion of geospatial intelligence and multi-sensor data, it delivers resilient, mission-ready intelligence for the field.
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On-Device AI Extension Plan
ARC-B extends the intelligence developed within the ArcXphere Platform to field devices through an On-Device AI architecture.
AI models for image interpretation and object detection are continuously trained and refined on the central platform before being optimized for deployment on edge devices. This enables object detection, image interpretation, and situational awareness to operate reliably—even in communication-constrained environments.
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Edge AI Expansion Direction
While ArcXphere serves as the centralized platform for collecting, managing, and operating imagery and geospatial intelligence, ARC-B is the technology that brings this intelligence directly to the operational edge.
By performing primary analysis and decision support locally, ARC-B reduces reliance on centralized infrastructure while enabling faster, mission-specific responses in the field.
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Future Operation Flow
ARC-B is designed to support a complete Edge AI operational workflow—from data collection and image interpretation to decision support, visualization, deployment, and intelligence sharing.
Data captured by field sensors is analyzed locally using On-Device AI, with object detection and situational awareness presented in an intuitive format for operators.
Even in offline or communication-denied environments, ARC-B enables rapid, field-centric decision-making and mission execution. When connectivity is available, analysis results and operational intelligence can be synchronized seamlessly with the ArcXphere Platform, ensuring continuous learning and intelligence enhancement.