Physical AI & Actuated Systems Platform
Bridge local artificial intelligence models with deterministic closed-loop machine control. Our software architecture connects local vision and sensors directly to servo drives, motors, and industrial PLCs without latency breakdown.
Physical AI & Actuated Systems Platform
Deterministic reflex loop response, certifiable functional safety, and significantly streamlined machine tuning timelines.
AI computer vision is powerful but suffers from processing latency fluctuations (jitter). Interfacing it directly with high-speed servo motors or robotics risks damaging equipment or causing operator injuries.
An asymmetric isolated multiprocessing architecture (AMP): AI runs safely on an accelerated core while an isolated real-time reflex core commands actuators with deterministic hardware safety.
Silicon Integration Bottlenecks & Physical Constraints
Critical failure modes observed when deploying local AI models onto actuated systems:
Memory Bandwidth & Multimodal Ingestion
Ingesting multi-camera streams (MIPI-CSI2, GMSL2) directly into accelerator memory without bus saturation or CPU starvation requires a zero-copy V4L2 and DMA-BUF pipeline.
Inference Jitter & 1 kHz Determinism
Fluctuating AI inference latencies (20 to 40 ms) are incompatible with strict 1 kHz (1 ms) closed-loop servo and valve control without an asymmetric decoupling architecture.
Functional Safety Isolation & Operating System
Emergency stop sequences and physical limit enforcement cannot depend on non-deterministic general-purpose OS stacks (Linux with GPU) and require an isolated reflex core.
System Architecture: The Edge Pulsar Approach
A partitioned asymmetric architecture (AMP) connecting local AI to physical actuators:
Zero-Copy Multimodal Ingestion
Direct ingestion of camera and sensor streams into unified GPU/NPU memory via hardware-accelerated pipelines without CPU overhead.
Semantic Reasoning Domain (Accelerated Linux)
Local execution of visual inspection, segmentation, and decision models on edge accelerators (NVIDIA Jetson, NXP i.MX95, Hailo) under hardened Linux.
Deterministic Command Translation
Real-time conversion of AI predictions into kinematic setpoints for servo drives and valves across industrial fieldbuses (CANopen, EtherCAT).
Reflex Domain & Safety Loop (Dedicated RTOS)
Isolated real-time core (Arm Cortex-M or Cortex-R) executing the 1 kHz control loop and machine safety independently of the main application OS.
Why Choose Our Architecture Over In-House Development?
The critical factors for securing your actuated intelligent machines:
Complete Retention of Domain Intellectual Property
Your vision algorithms, control laws, and process data remain 100% your proprietary asset; we deliver the underlying execution platform.
Bridging Edge AI & Real-Time Engineering
Our architecture harmonizes neural network acceleration (TensorRT, ONNX) with deterministic motion control over time-sensitive industrial fieldbuses.
Accelerate System Development Cycles
Transition directly from trained models to physical machine validation benches without internal development of complex asymmetric architectures.
Validated Industrial Applications
High-Speed Sorting & Air-Ejection Systems
Continuous visual classification of moving parts or materials with millisecond synchronization of pneumatic ejection nozzles.
Dynamic Valve Control & Process Regulation
Adaptive closed-loop control of industrial proportional valves, pumps, and thermal units from multimodal physical inputs with zero network latency.
Adaptive Tooling, Conveyors & Cobotics
Closed-loop visual guiding of cutting heads, adaptive conveyor speeds, and collaborative arms safely interacting with human operators.
Related Engineering Services
Tailor, integrate, or maintain this architecture with our dedicated embedded engineering and lifecycle services.
Heterogeneous Compute Architecture
Partitioning complex vision and control workloads between CPU, NPU, and real-time MCU cores.
Zero-Copy Video & Sensor Pipelines
V4L2, GStreamer, and DMA-BUF kernel drivers guaranteeing ultra-low-latency sensor-to-actuator loops.
Architecture Roadmap & Feasibility
Thermal, power, and computational sizing for battery-constrained robotic and vision-guided systems.
Validate the Physical AI architecture on your test bench
Connect your artificial intelligence models to physical machine actuators.