Qumtrix · STM32N6 Edge AI ODM

Industrial-Grade STM32N6 Edge AI Hardware ODM Solution & Joint R&D

Beyond high-power MPU architectures. Powered by the STM32N6 architecture — 600 GOPS Neural-ART NPU, 5MP Hardware ISP and 1080p H.264 Encoder — we provide end-to-end hardware ODM customization and co-development services, from schematic design, PCB layout and BSP/algorithm porting to PCBA volume manufacturing.

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600 GOPS Neural-ART NPU 2–3W Fanless Design 4–6 Layer PCB · Low BOM

Why ODMs Choose This STM32N6 Solution

Skip the high-power Linux MPU architecture. This single-chip STM32N6 Edge AI platform combines a 600 GOPS Neural-ART NPU, 5MP hardware ISP and 1080p H.264 encoder with RTOS millisecond-level instant boot — ready to drop into your product.

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600 GOPS Dedicated Micro NPU

Powered by the Neural-ART acceleration engine, easily running mainstream vision models (YOLO, MobileNet) while freeing the Cortex-M55 core to focus purely on business logic.

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High-Density 4–6 Layer PCB

STM32N6 264-BGA with Flash-less architecture — high-speed signals (Octo-SPI, MIPI CSI-2, Gigabit Ethernet) optimized for ultra-compact SOM and COB designs.

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Low-Power PMIC Management

Meticulous multi-rail power design optimizing 1.0V / 1.8V / 3.3V Buck/LDO circuits — total system power at 2~3W to support fanless, fully sealed industrial thermal enclosures.

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Full Hardware Vision Pipeline

5MP hardware ISP with AWB, Denoising and AE — a single camera sensor generates 3 simultaneous resolution streams for NPU inference, LCD display and remote H.264 streaming.

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Financial-Grade Security

SESIP / PSA Level 3 with TrustZone architecture — model weight encrypted storage and hardware decryption on-the-fly (Model Protection) to protect your IP.

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Turnkey Manufacturing & Testing

One-stop component sourcing, SMT assembly, AOI inspection and FCT fixture development — DFM/DFA checks prior to SMT to ensure high manufacturing yield.

Positioning & Technical Benchmark Comparison

How the STM32N6 Edge AI custom architecture stacks up against traditional Linux MPU + external NPU and low-end MCU approaches.

Comparison Dimension Traditional Linux MPU + External NPU Traditional Low-End MCU STM32N6 Edge AI Custom Architecture
System Complexity Relies on Linux OS — slow boot (10s+), complex OS loading RTOS / bare-metal, but lacks AI inference RTOS ms-level instant boot with high real-time performance & stability
Power & Thermal 5W~15W, requires active fan or large heatsinks <0.5W, but cannot run complex neural networks Low to 2~3W, enabling industrial fanless sealed enclosure
Vision Capabilities Software encoding or external ISP, high overall cost No hardware ISP, extremely low resolution (QVGA) Integrated 5MP ISP + 1080p H.264 encoder + GPU
Estimated BOM Cost Many external components, 8+ layer PCB, high cost Low cost, but insufficient compute for AI workloads Single-chip integration with 4–6 layer PCB, significantly lower BOM

Edge AI Potential Application Scenarios

From Industry 4.0 to smart security, transportation and HMI — the STM32N6 Edge AI architecture adapts to your product's environment and interface needs.

Industry 4.0 & Smart Manufacturing

Industrial AI SOM & gateway ODM with dual CAN-FD, RS485, Gigabit TSN Ethernet and 24V wide-voltage input. 5MP ISP + 600 GOPS NPU delivers 30 FPS defect detection on moving assembly lines with real-time GPIO/CAN-FD output, plus 1D-CNN predictive maintenance (PdM) on vibration and audio.

Smart Security & Edge Surveillance

Compact vision AI camera PCB ODM with 5MP MIPI sensor, H.264 hardware encoder and local TF card / SPI NOR storage, supporting PoE or battery power. On-device person & fall detection and pose estimation (YOLOv8n-Pose @ 26 FPS) keep video data at the edge — uploading only metadata and alerts.

Smart Transportation & Vehicle Systems

Automotive-extended hardware ODM with enhanced thermal dissipation for –40°C to +125°C, vibration-proof industrial connectors and HDR camera support. Ideal for roadside & in-vehicle units: license plate recognition, vehicle counting and Driver Monitoring Systems (DMS) in high-temperature outdoor or in-cabin environments.

Smart HMI & Touch Panels

Vision AI + display controller ODM with on-board MIPI DSI / RGB display and capacitive touch driver. The 2.5D NeoChrom GPU renders smooth 30+ FPS UI alongside gesture recognition camera support — enabling touchless, camera-based control in sterile, wet or industrial environments.

ODM Collaboration & Delivery Workflow

A transparent, milestone-driven process from requirements to volume PCBA delivery.

1

Requirements & BOM Assessment

Feasibility analysis on product functions, dimensions, interfaces and target BOM cost — delivering an ODM Technical & Cost Evaluation Report.

2

Hardware Design & PCB Layout

Schematic capture, PCB topology layout and thermal / power / EMC simulation to produce Gerber files and BOM.

3

Prototype Fabrication & Tuning

Producing 5~10 prototype PCBAs with camera ISP tuning, BSP / driver porting and AI model quantization.

4

Volume Manufacturing & FCT Testing

Production burning / test fixtures and FCT automated testing setup for small-batch trial runs and volume PCBA delivery.

Frequently Asked Questions

Quick answers to the questions we hear most often about STM32N6 Edge AI ODM.

What makes STM32N6 different from a Linux MPU + external NPU?

STM32N6 integrates a 600 GOPS Neural-ART NPU, 5MP hardware ISP and 1080p H.264 encoder into a single chip. It boots in milliseconds on RTOS (vs 10s+ for Linux), runs at 2~3W (vs 5W~15W) enabling fanless sealed enclosures, and achieves a 4–6 layer PCB with significantly lower BOM.

Which AI models can run on the Neural-ART NPU?

Mainstream vision models like YOLO and MobileNet run natively. Benchmark results include YOLOv8n-Pose @640×640 at 26 FPS, MobileNetV2 @224×224 at over 200 FPS, PicoSAM2 real-time segmentation at 13.7 ms latency, and audio keyword spotting under 10 ms.

Can you port my existing neural network to STM32N6?

Yes. We convert customer neural networks (PyTorch / TensorFlow / ONNX) via ST Edge AI tools with INT8 quantization to run natively on the Neural-ART NPU, including BSP & RTOS porting and multi-stream video pipeline integration.

What camera sensors and interfaces are supported?

MIPI CSI-2 camera modules adapted for 5MP sensors (OV5640 / IMX335) with engineering-grade ISP tuning. The hardware ISP generates 3 simultaneous resolution streams for NPU inference, LCD display and remote H.264 streaming.

How does hardware security protect my AI model IP?

STM32N6 provides financial-grade hardware security (SESIP / PSA Level 3) with TrustZone architecture, supporting model weight encrypted storage and hardware decryption on-the-fly (Model Protection) to protect your intellectual property.

What is your ODM collaboration and delivery workflow?

Requirements & BOM assessment, hardware design & PCB layout, prototype fabrication & tuning (5~10 PCBAs with ISP tuning, BSP porting and AI quantization), then volume manufacturing & FCT testing for small-batch trials and volume PCBA delivery.

Ready to Add PROFINET to Your Product?

Talk to our engineering team about PN2001 evaluation kits, reference designs and ODM volume programs — or ask how to pair it with our EtherNet/IP and DeviceNet solutions.

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