Firmware
When designing embedded systems with significant data storage requirements, the choice between SPI, QSPI, and OctoSPI interfaces often comes down to a single question: are the extra pins worth the routing complexity? After implementing a high-performance storage system for a multi-sensor camera platform, we discovered that the answer isn'
Firmware
In the high-stakes world of embedded systems, there is often a vast, perilous chasm between a system that "functions" and one that performs. A prototype might capture an image, but if that simple act paralyzes the entire device for 200 milliseconds blocking network keep-alives, delaying sensor readings, and
Hardware
Connectors are often discussed in terms of pin count, current rating, or mechanical life. Those are important—but they’re not the reason connectors fail products. In real systems, connectors fail when they are asked to carry too many assumptions without being designed to enforce them. A single connector today
AI
Building robust AI models for the real world has a dirty secret: it’s rarely about the model architecture anymore. It’s almost always about the data. In the realm of audio, specifically event detection like identifying a dog’s cough versus a bark, data is noisy, scarce, and incredibly
Firmware
In the world of embedded vision systems, every nanosecond matters. When pushing the boundaries of high-speed camera interfaces, one often-overlooked factor can make the difference between crystal-clear captures and corrupted frames: internal clock jitter. This isn't just theoretical noise—it's a real-world challenge that directly impacts
Product
Manufacturing the first 25 complete units of a hardware product is a unique challenge. You’re far past rough prototyping, but not yet ready for the cost and rigidity of mass production. At this stage, success depends on choosing manufacturing processes that deliver repeatability, functional reliability, and visual quality—without
Firmware
When building cutting-edge pet health monitoring devices, encountering undocumented silicon quirks isn't just frustrating—it can derail product timelines and compromise system reliability. While working on Hoomanely's next-generation pet healthcare platform, our team discovered that even the most sophisticated ARM Cortex-M33 based microcontrollers harbor subtle timing
Hardware
In many products, the power button is treated as a UI element—a cosmetic input whose real meaning only emerges once software is running. Press the button, wait for the logo, let firmware take over. From that point on, everything interesting is assumed to be a software problem. That assumption
AI
When we added new audio classes to our MelCNN pipeline (sneezing, coughing, anomalies), something unintuitive happened: accuracy on existing, well-performing classes like eating and drinking dropped - even though their data hadn’t changed. At first glance, this looked like a training issue. It wasn’t. What Actually Broke 1.
Firmware
Introduction Indoor air quality monitoring has evolved from simple threshold detection to intelligent pattern recognition. While traditional sensors measure concentration levels, the latest AI-powered gas sensing technology can distinguish between different gas compositions—like differentiating cooking smoke from chemical vapors or detecting bacterial growth through volatile sulfur compounds. This technical