REDNODE.AI
Operations OS for robots, vision, and excavation—linking every feed, rail, and control in one trusted loop.
Live CV overlays, dynamic geofences, and AI copilots tuned for heavy equipment, robotics corridors, and fully autonomous dig lines.
Curated landing pads for explorers, operations, and security—each with the right gradients, access, and tooling.
Full RedNode demo with Sentinel overlays, detection, marketplace, and AR launchers.
Open dashboard →Field telemetry and operator controls tuned for quick operations review.
Open ops →Indoor operations dashboard with Sentinel demo and sensor fusion overlays.
Open indoor →Jump into the control centre for orchestration and secure mission routing.
Open centre →Secure camera console with recognition and safety overlays.
Open security →Direct live view and controls for excavation and robotics rigs.
Open live →See how RedNode.ai stitches computer vision, robotics control, and operator tools together across every surface.
Open Overview →Command excavation fleets, apply safety zones, and orchestrate computer vision nodes with instant human overrides.
Launch Control →Open the token-gated camera surface for live situational awareness with computer-vision overlays.
Open Security Cam →Monitor robotics fleets, uptime, and predictive maintenance signals from every deployed RedNode.
Open Dashboard →Collaborate with copilots, dispatch machine tasks, and hand-off instructions to crews via a live AI assistant.
Join Chat →RedNode learns every environment—from control rooms to robot-ready pits—to optimize workflows with context-aware playbooks.
Fuses computer vision, lidar, telemetrics, and operator gestures to keep machine awareness crisp and reliable.
Deploys excavation and robotics automations for dig lines, exclusion zones, haul cycles, and live operator prompts.
Reward crews for validated sensor streams, safe machine runs, and precision robotics maneuvers that strengthen the network’s training corpus.
EEG, EMG, retina, and gesture controls keep crews in the loop while AI verifies every command across trusted machine nodes.
YOLO, DeepFace, and custom CV stacks track buckets, people, vehicles, and robots in real time for safe dig cycles.
Low-latency edge nodes crunch perception locally so excavators and field robots respond instantly to changing ground truth.
Immutable logging validates telematics, incident reviews, and robotics compliance reports without slowing operators down.
Enhances training and simulation with AI-driven POV overlays, robotic pathing, and live multi-operator coordination.
Delivers situational awareness, anomaly detection, and site access control tuned for robotics and heavy equipment zones.
Tracks machines, robotics assets, personnel, and payloads in real time to keep dig lines clear and logistics flowing.
Optimizes excavators, autonomous haulers, and conveyors through predictive analytics, fuel-aware routing, and auto-assist.
Unifies contractor scopes, robotics playbooks, and QA reports with AI-driven insights and immutable proof of work.
Play, train, and simulate robotics scenarios using RedNode tokens that mirror real machine states.
Access and trade AI-driven applications, CV pipelines, automation routines, and operator safety tools.
Trade and collaborate on machine tasks, robotics jobs, and industrial automations backed by verified telemetry.
Use RedNode tokens to operate fleets, launch CV automations, and exchange field-tested machine playbooks.
Sync fleets, cameras, lidar, PLCs, and telemetry feeds through secure sockets that validate every operator and chain context.
Define dig zones, keep-out perimeters, and machine roles while the AI learns each site signature for safer automation and robotics routing.
Run excavation and robotics automations with live copilots that surface alerts, suggested routes, and predictive maintenance cues.
Explore the guided start experience that introduces RedNode.ai for robots, computer vision automation, and the pathways into every operations surface across this site.
Contact us to integrate RedNode into your robotics, computer vision, and machine automation environment.
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