Smart factory AI for
Industry 4.0

ROS2-native robotics, predictive maintenance, and edge AI for smart manufacturing. Sub-millisecond control loops, OPC UA integration, and multi-robot fleet coordination — all running at the edge.

factory-control-01
$ neuraos fleet --status
✓ Kernel: PREEMPT_RT 6.12 LTS
✓ ROS2 Jazzy: 24 nodes active
✓ Fleet: 8 robots coordinated
✓ OPC UA: 3 PLCs connected
✓ Vision: 12 cameras streaming
All systems nominal — control loop <0.6ms
$ _

Native Fast-DDS 3.2 integration for ROS2 Jazzy with DDS Security. Multi-robot coordination, path planning, and task allocation across warehouse and production environments.

AI-powered anomaly detection with emlearn and Apache TVM. Real-time vibration analysis, thermal monitoring, and failure prediction to reduce downtime by up to 70%.

Real-time defect detection with ncnn and MediaPipe. Surface inspection, dimensional analysis, and assembly verification at 100+ parts per minute with 99.9% accuracy.

A real-time Linux kernel purpose-built for factory automation. PREEMPT_RT deterministic scheduling, ROS2 Jazzy with Fast-DDS, and edge AI inference — all in 64MB of RAM.

Deterministic <1ms control loops for safety-critical automation

Connect PLCs, SCADA systems, and factory sensors natively

NPIE v2.0.0 with 12 backends: LiteRT, ONNX, NCNN, OpenVINO, Apache TVM for on-device ML

Speak to orchestrate factory workflows and monitor KPIs

From warehouse logistics to precision assembly, NeuralOS powers the next generation of smart factories.

Deploy fleets of autonomous mobile robots for material handling and order fulfillment. ROS2 Nav2 with LiDAR SLAM for dynamic warehouse navigation.

Multi-robot path planning with collision avoidance
WMS integration via REST and MQTT
Real-time obstacle detection with <100ms response

Automated visual quality control at line speed. Detect surface defects, dimensional variations, and assembly errors with edge-deployed computer vision.

100+ parts/minute with <10ms inference
Hardware-accelerated on Coral TPU and Intel NCS2
Real-time MES data streaming for traceability

Prevent unplanned downtime with AI-driven vibration analysis, thermal imaging, and bearing wear detection. Edge ML models run continuously without cloud dependency.

Vibration and thermal anomaly detection
Failure prediction up to 30 days in advance
Integration with CMMS and maintenance workflows

Real-time data streaming between physical factory systems and virtual models. Enable simulation, optimization, and what-if analysis at the edge.

ZeroMQ and gRPC for low-latency data sync
OPC UA for PLC and sensor telemetry
Edge-first architecture with optional cloud relay

From pilot line to full-scale deployment — NeuralOS powers smart manufacturing with real-time AI at the edge.