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
Introduction: Hardware Meets Software Workflow Hardware design projects generate a wide range of files — schematics, PCB layouts, component libraries, manufacturing outputs, and documentation. Over the course of development, these files go through countless revisions as designs move from prototyping to testing and finally to production. Without a structured version control
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&
Introduction Building machine learning systems for the edge sounds exciting—until you realize that most real-world edge problems begin with a simple, uncomfortable truth: you don’t have labeled data. Not enough of it. Not the right kind. And certainly not data that reflects the messy environments your devices will
Hoomanely products aren't just mobile apps or hardware devices in isolation anymore. They're systems, a combination of sensors, firmware, mobile apps, dashboards, and cloud intelligence. As we build connected pet devices and real-time insights, one question keeps coming up: can we stream live device data directly
When your AI model performs flawlessly in testing but stumbles in production, you're likely facing one of computer vision's most persistent challenges: domain shift. At Hoomanely, we encountered this exact problem with our dog segmentation model deployed on the Everbowl, our edge device designed to monitor
Modern backend systems rarely fail loudly. They fail quietly, through duplicated requests, partially completed workflows, retried executions, and replayed messages that look successful but slowly erode correctness. On AWS, these behaviors aren't edge cases or misconfigurations, they're the default operating conditions of a resilient, distributed platform.
Intro One of the hardest problems in smart pet devices isn’t sensing - it’s understanding context. At Hoomanely, our EverBowl feeding system can reliably detect when a dog is eating using weight sensors, proximity sensing, and on‑device vision. But knowing what the dog is eating is a
To the untrained eye, it's merely a rectangle, a boundary line. But to us, it's the negotiated truce between electrical ambition and mechanical reality. This outline is not drawn at a whim, it's forged through a rigorous collision of constraints. Component density demands real
Choosing a filesystem in embedded firmware looks simple until real devices start writing logs every few seconds, saving snapshots, updating configs, and recovering from unexpected resets. What starts as a neat API turns into a fight with corruption, wear, mount-time failures, memory stalls, directory explosions, and behavior that rarely shows