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QNX Accelerate |
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QNX Accelerate is a
cloud-based development and CI/CD environment
providing QNX Neutrino RTOS and QNX Hypervisor
instances as Amazon Machine Images (AMIs) on AWS
(and Marketplace images on Azure). Enables
geographically dispersed teams to collaborate
without hardware dependencies, leveraging cloud
scalability for automated testing, build farms,
and virtualization. |
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Key Features
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Cloud-Native QNX AMIs
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QNX Neutrino 8.0 and QNX Hypervisor 8.0
images pre-configured for AWS Graviton2 ARM
instances and Intel Xeon.
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Pay-as-you-go hourly or discounted annual
subscriptions via AWS/Azure Marketplace.
CI/CD Integrations
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Pre-built pipelines
for Jenkins, GitLab CI, Azure DevOps.
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Automated test
harnesses for safety-certified regression
testing..
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Hardware-Independent
Development
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Spin up multiple
parallel RTOS targets in the cloud for CI
test suites (unit, integration, system).
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No wait times for scarce embedded
boards—developers can run QNX tests 24×7 on
cloud instances.
Secure Collaboration
- Centralized
development environments with predefined QNX
configurations ensure consistency.
- Role-based access control for source
code and build instances.
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IVY Data & Connectivity Platform
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IVY is an in-vehicle
data and connectivity middleware platform
that abstracts vehicle signals, enabling
ML-driven edge processing and secure
cloud-controlled data access. IVY
standardizes vehicle sensor data (aligned to
COVESA VSS) for seamless integration of
data-driven services and analytics.
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Key Features
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Signal Abstraction
& Normalization: Unified representation
of CAN, LIN, Ethernet-based signals, GPS/IMU,
ADAS sensors in normalized JSON/Protobuf
schema.
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Edge ML Processing:
Deploy TinyML or TensorFlow Lite models on
QNX Neutrino targets for on-vehicle
inference (predictive maintenance, driver
behavior analytics).
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Cloud Orchestration
Console: Manage data-access policies,
device provisioning, and OTA updates via a
web UI.
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Data-Cost Savings:
Filter, compress, and preprocess vehicle
data at the edge to minimize bandwidth
consumption.
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QNX Sound
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QNX Sound is a
software audio and acoustics platform built on
QNX SDP for automotive and industrial audio
applications. It enables fully software-defined
audio processing, removing the need for
dedicated DSPs. Provides low-latency,
high-fidelity audio pipelines for voice, ANC,
chime generation, and active sound design.. |
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Key Features
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Acoustic Functional
Modules (AFMs)
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QNX Acoustics for Voice (QAV): AECNR (echo
cancellation + noise reduction) for
hands-free telephony and speech recognition
(AECNR).
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QNX In-Car Communications (ICC): Automated
cabin mic mixing/enhancement for
multi-occupant communication.
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QNX Active Sound Design (ESE/EOR): Engine
sound enhancement and engine order reduction
for e-powered vehicles.
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QNX Software Audio Management (SAM):
Crossovers, delays, dynamic EQ for
multi-channel speaker tuning.
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QNX Chimes & Safety Alerts (CSA): Chime
generation, safety chime monitoring
(non-certified).
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LiveAMP Tuning Tool
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Windows-based
real-time calibration, data logging, and
diagnostic interface to deployed QNX Runtime
audio pipelines.
DSP & CPU-Based
Runtimes
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Standalone software
pipelines for ARM CPUs, plus optimized DSP
binaries for NXP/PXA/ADI processors.
Microkernel-Level
Integration
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Runs as RTOS processes with kernel-level
priority and timing guarantees (< 1 ms
end-to-end latency).
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QNX Platform for ADAS
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QNX Platform for ADAS
2.0 is a functional-safety foundation for
advanced driver assistance and automated driving
applications. Built on QNX Neutrino 8.0 RTOS and
QNX OS for Safety 2.2 (ISO 26262 ASIL D
certified), the platform provides sensor data
fusion, low-latency capture, timestamping, and
real-time processing for multi-camera surround
view, single-camera ADAS, radar/LiDAR
integration, and neural-network inference.
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Key Features
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Safety CERTIFIED FOUNDATION |
Plug-and-Play Sensor
Abstraction |
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Underlying QNX OS for Safety 2.2 certified
ASIL D & SIL 3.
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Toolchain qualification to TCL 3 ensures
compliant build processes.
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Prebuilt drivers for cameras (OV10640,
Aptina AR0132, USB3.0, GigE), radar
(Delphi ESR/SRR2), LiDAR (Velodyne
VLP-16), GPS/IMU (Xsens NovAtel).
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Low-Latency Data Capture
& Timestamping
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Flexible Middleware
Frameworks |
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Hardware timestamp support (IEEE 1588 PTP,
802.1AS gPTP) for precise sensor
synchronization.
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DDS (RTI, eProsima), SOME/IP, ROS2 plugins
for distributed data distribution across
ECUs and test rigs.
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Reference Applications & Visualizers |
Accelerated Vision & ML
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Four-camera surround view reference,
single-camera ADAS sample, sensor-hub
demo.
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Data record & playback utilities with
timestamp fidelity for offline playback
(ROS bag compatibility).
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OpenCL/OpenCV pipelines on Renesas H3/V3M,
NXP S32V, TI TDA2x EVE/DSP, NVIDIA
DRIVEX (CUDA), Intel Apollo Lake GPU.
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Integrates Ceres Solver for sensor
calibration and MatLab/Simulink code
generation support.
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QNX for Medical & Healthcare
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QNX OS for Medical 8.0 is
a pre-certified, ISO 62304 Class C operating
system and toolchain, enabling rapid development
of life-critical medical devices (infusion
pumps, ventilators, patient monitors) with
built-in cybersecurity (IEC 62304 + IEC 62366). |
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Core Capabilities
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ISO 62304 Class C
Certification |
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Safety architecture,
documentation (Hazard & Risk Analysis,
Safety Case).
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Qualified IEC 62304
toolchain (TCL 3, code coverage, MISRA
compliance).
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IEC 62366 Usability
Engineering |
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Integrated
Human-Machine Interface guidelines,
error-resilient default UX templates.
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Real-time display of
critical patient parameters with guaranteed
60 Hz refresh.
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Medical Protocol Stacks |
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HL7 through MLLP,
DICOM store/print, OPC UA for device data
exchange.
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ISO IEEE 11073 device
profile support.
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Cybersecurity (IEC
81001-1-5) |
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Encrypted
communications (TLS 1.3, FIPS-140-2).
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Secure boot, signed
updates.
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Access control: role-based, audit logging,
intrusion detection agent.
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Real-Time Data Logging &
Archiving |
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QNX Resource Manager
for medical logs (circular buffer with
tamper-evident storage).
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Fast file I/O (≤ 500
µs write latency) for continuous waveforms (ECG,
EEG).
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Use Cases (Medical & Healthcare) |
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Infusion Pump Controller |
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Real-time drug dosage
control (cycle ≤ 1 ms).
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Fail-safe watchdog,
dual-processor voting (SIL 3) in hardware.
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Patient Monitoring Station |
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Multi-channel vital
sign processing on Cortex-A72; prioritized
alarm scheduling (≤ 10 ms latency).
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Secure HL7 messaging
to hospital EMR systems.
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Portable Ultrasound
Scanner |
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Real-time image reconstruction (CUDA on
NVIDIA Jetson BX Edge).
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Low power (< 10 W) cold boot (≤ 5 s) for
field use.
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