Physical AI Across Industries: From Sensing to Action
Explore twelve sectors, including medicine, and turn an operational problem into a measurable hardware and software project.
Read the guide →◎ English
Engineering notes
Physical AI, robotics and embedded engineering.
Explore applications across industries, including healthcare. Then go deeper into the sensing, hardware and software that make them work.
Start with your application
From physical AI to a working product.
Choose a guide to connect your use case, hardware and validation plan.
Robotics AI: From Perception to Reliable Edge Control
Connect perception, edge computing and motion through clear interfaces, simulation and real-world validation.
Read the guide →Physical AI in Healthcare: Engineering Medical Devices and Workflows
Explore medical sensing, laboratory automation and healthcare robotics with a clear development and validation scope.
Read the guide →Engineering library
Go deeper into the design.
Practical notes on sensing, compute, interfaces and custom product development.
Satellite engineering
How Edge AI Works on Satellites: From Sensor Data to Downlink
Understand onboard satellite AI: sensor preprocessing, inference, cloud filtering, data prioritization, downlink limits and ground validation.
Read the engineering guideSatellite engineering
Satellite Edge AI Hardware Design: Compute, Power and Verification
Plan satellite payload processing hardware: CPU and FPGA trade-offs, power, thermal design, radiation risks, fault recovery and verification evidence.
Read the engineering guideImplementation guide
Event-Based Vision Software: SDKs, Data Formats and Integration
Choose an SDK, inspect a recording and define the event-processing pipeline before an embedded pilot.
Read the guide →Implementation guide
RK3588 NPU Guide: Model Deployment, INT8 and Performance Testing
Build a reproducible model-deployment workflow and separate accuracy, inference time and end-to-end performance.
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System-on-Module vs Single-Board Computer: Choosing for Production
Compare a ready board with a custom carrier using installation constraints, system cost and lifecycle requirements.
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Custom Carrier Board Design: Process, Cost Drivers and Timeline
Prepare a useful design brief and understand the work, dependencies and deliverables behind an NRE quotation.
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Predictive Maintenance: Vibration Analysis & Edge AI
Design vibration monitoring for predictive maintenance: sampling, edge AI, thermal imaging, operating-state baselines and useful maintenance evidence.
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Industrial IoT Networks: Store-and-Forward Beyond Cellular Coverage
Plan industrial IoT and smart farming networks with local buffering, priority messages, energy budgets and recovery when cellular links fail.
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Industrial IoT Gateways: PLC, SCADA & Protocol Integration
Connect PLC and SCADA systems through an industrial IoT gateway. Plan Modbus, CAN bus, timestamps, data mapping and trace recording.
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Sensor Fusion: Camera, LiDAR, IMU & Time Synchronization
Plan camera, LiDAR and IMU sensor fusion: timestamps, calibration, latency budgets and edge computing for robotics and industrial perception.
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Event-Based vs Frame-Based Vision: A Practical Comparison
Choose a camera approach by application, compare timing boundaries and design a reproducible evaluation.
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FPGA vs NPU vs MPU: Choosing Hardware for Edge AI
Compare processor roles, calculate a multi-camera memory budget and plan a repeatable architecture evaluation.
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Fanless Industrial PC Design for Edge AI
Design a fanless industrial PC for edge AI: sustained thermal performance, embedded Linux, power protection, interfaces and system validation.
Read the note →ALVEXIS / FORGEPULSE
Electric motor monitoring with ForgePulse
Explore a motor-specific pilot: vibration, local temperature and magnetic-field measurements, a mounting package and a path towards maintenance analysis and digital twins.
Read the motor monitoring guide ↗Related engineering guides
Edge AI vs Cloud AI for Industrial Devices
Compare edge AI and cloud AI for industrial devices: latency, offline operation, data handling and complete workload testing.
Industrial Sensors for Condition Monitoring and Edge AI
Select industrial sensors around the measurement, interface, mounting and calibration requirements of a custom monitoring system.
Renewable Energy Monitoring: Sensors, Thermal Imaging and Edge AI
Explore edge AI monitoring concepts for biomass, wind, solar and geothermal equipment, with sensor integration and pilot planning.
From an Arduino Platform Prototype to Custom Industrial Hardware
Turn an Arduino prototype into custom industrial hardware with a clear interface specification, PCB design and production test plan.
Battery Monitoring Systems: Embedded Hardware Design Considerations
Understand battery monitoring and BMS design boundaries, measurement interfaces, protection responsibilities and validation planning.