Bootloaders, OTA updates, RTOS patterns, and the debugging techniques that keep embedded devices reliable in the field.
Silent CAN-FD failures, where the controller reports a successful transmission and the oscilloscope shows nothing on the bus, almost always come from the transceiver rather than the protocol engine: a mode pin left in an undefined state, a data-phase bit rate the transceiver cannot hold on the real harness, or
Building high-performance camera systems for edge AI means mastering the dance between hardware peripherals, memory architecture, and real-time constraints. When developing precision imaging for pet healthcare monitoring, achieving consistent capture rates with zero data loss is the whole game. The challenge: zero-copy high-speed imaging Traditional microcontroller camera implementations often struggle
The decision we didn't question When we started building our edge systems, the filesystem was the easiest decision we made. It was familiar, stable, and came with decades of engineering behind it. Logs went into files. State got persisted as small blobs. Recovery was something the OS already
Filesystems in embedded systems usually get treated as an implementation detail: picked late, configured with the defaults, and rarely touched again. In practice, a filesystem becomes a long-lived contract between firmware, storage media, update mechanisms, and whatever data pipeline sits on top of it. This post looks at embedded filesystems
How intelligent firmware orchestrates complex device initialization for reliable embedded systems In embedded systems, the moment you press power is just the beginning of an intricate dance. Hardware designers focus on voltage rails and capacitors, but firmware engineers face an equally critical challenge: making sure every component powers up in
Controller Area Network gets introduced as a "simple" fieldbus: ID, DLC, payload, done. In real systems, that simplicity hides a deeper reality. CAN messages become long-lived contracts between firmware, hardware, gateways, and cloud pipelines. This post reframes CAN not as a transport but as a shared language, where
How to orchestrate complex embedded systems without breaking a sweat Picture this: your embedded system needs to capture high-speed camera data, communicate over multiple protocols, monitor sensors, and respond to user input, all simultaneously, all in real time. That's the world of modern embedded firmware, where a single
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
Most performance problems we've run into in embedded systems didn't come from weak hardware or bad algorithms. They came from decisions that felt harmless at the time, extra logs during bring-up, convenient abstractions, background helpers added "just for safety." None of these broke the