When designing mission-critical edge devices, engineers often face a familiar trade-off. On one side is Linux, powerful, flexible, rich with ecosystems for networking, AI, and analytics. On the other is the deterministic world of bare-metal or RTOS-based microcontrollers, trusted for precise timing and reliability. In a recent edge AI system,
The convergence of Artificial Intelligence and the Internet of Things, AIoT, represents one of the more significant shifts happening in connected devices right now. Unlike traditional IoT systems that simply collect and transmit data, AIoT devices think, learn, and make decisions at the edge, turning raw sensor data into intelligent
Ever wondered what happens in those crucial milliseconds between powering on a smart device and seeing it spring to life? The journey from a cold hardware reset to a running application is one of the most fundamental processes in embedded systems, yet it stays invisible to almost everyone who isn&
Choosing the right operating system architecture for an embedded project can make or break its success. Should you lean on Linux's rich ecosystem and powerful userspace, or does your application demand the deterministic behavior of a Real-Time Operating System? The answer isn't always obvious, and increasingly,
Designing for interrupted updates and power-loss resilience in real-world embedded systems In the unforgiving world of IoT tracking devices, where power interruptions, network failures, and harsh environments are the norm rather than the exception, implementing robust Over-The-Air firmware updates can be the difference between a successful product and expensive field
Imagine a pet healthcare system that can detect subtle changes in gait, spot early signs of skin conditions, monitor breathing patterns during sleep, or track behavioral changes signaling discomfort, all through intelligent vision processing happening at the edge. That's the convergence of high-speed embedded imaging, real-time AI inference,
Linux powers everything from routers and EV chargers to drones, cameras, industrial machines, and the modern edge AI stack. But behind every peripheral that just works lies a device driver, the thin layer of software that lets hardware talk to the Linux kernel. For new embedded engineers, Linux device drivers
In IoT devices, particularly pet health monitoring systems, reliable wireless connectivity isn't a nice-to-have, it's mission-critical. When a device needs to simultaneously stream real-time health data over Wi-Fi while maintaining BLE connections to multiple sensors, the challenge of wireless coexistence becomes very real. Working on Hoomanely&
When working with STM32 microcontrollers and external memory configurations, few things are more frustrating than STM32CubeProgrammer refusing to recognize a carefully crafted external memory loader. We ran into exactly this, and the fix revealed some genuinely useful insight into how STM32's toolchain parses external memory loader files. When
Real-world lessons from transitioning parallel to serial camera architectures in production embedded systems Imagine an industrial vision system built around a high-performance MCU and a 1 MP camera using the traditional parallel interface, DCMI. It worked, until thermal sensors, proximity modules, and wireless connectivity landed on the same board. Suddenly