Firmware
The Microchip MCP2518FD is a popular external CAN-FD controller that interfaces with the host MCU over SPI. While the device performs well under controlled conditions, its field reliability is governed almost entirely by the quality of the host-side driver. This article documents technical findings, failure signatures, and recovery patterns validated
Firmware
Adaptive sampling turns your wearable into a system that feels alive—delivering the right data at the right moment while preserving battery for when it matters. Instead of locking sensor rates in firmware, we set behavior at the app layer with a small, transparent policy engine. The device advertises capabilities;
Firmware
In modern imaging pipelines especially those running on edge devices every byte matters. When an embedded system captures images, those images must travel through limited memory, constrained communication buses, and strict power budgets. Large image payloads degrade system performance, slow down recovery pipelines, and create unpredictable behavior. To keep imaging
Firmware
Real-world lessons from transitioning parallel to serial camera architectures in production embedded systems Imagine this: an industrial vision system built around a high-performance MCU and a 1 MP camera using the traditional parallel interface (DCMI). It worked—until you added thermal sensors, proximity modules, and wireless connectivity to the same
Firmware
Monolithic firmware scales linearly in features but exponentially in complexity.When building IoT devices that integrate multiple sensors - accelerometers, GPS modules, barometers, LoRa communication, and more firmware projects quickly become unmanageable. A single, monolithic codebase where everything lives in one directory creates several critical issues: Compilation bottlenecks: Change one
Firmware
Networks misbehave in the real world. BLE links jitter, Wi-Fi bursts collide, buffers overflow, and low-power sensors occasionally flip a bit. The worst part isn’t the packet loss—it’s the visible glitch your user sees: a frozen chart, a jumpy graph, or a dropped audio blip. This post
Firmware
The Problem: When Time Doesn't Add Up Picture this: You're debugging a critical issue in production. The logs show that a sensor event was processed before it was captured. Impossible? No-just unsynchronized clocks. This was our reality when building distributed embedded systems. Our platforms rely on
Firmware
In every real-time embedded system, interrupts are where the action begins. Whether it’s a camera sensor signaling a frame ready, a CAN packet arriving, or a GPIO line pulsing high, the first code to run is almost always the Interrupt Service Routine (ISR). But ISRs should be fast, lightweight,
Firmware
Building a production-ready camera system with 45 MB/s sustained throughput Direct Memory Access (DMA) promises zero-CPU data transfers, but poor buffer design can turn that promise into corrupted frames, system crashes, and unpredictable behavior. This post shares hard-won lessons from building Hoomanely's camera module—a dual-sensor system
Firmware
During prototyping of our hardware products - Hoomanely EverBowl and EverHub - we leveraged the Raspberry Pi Compute Module 4 (CM4) as the embedded compute platform for early-stage development. The CM4 served as our prototyping vehicle before transitioning to Hoomanely's custom purpose-built System on Module (SOM) for production.