Hardware
Introduction: Signal Integrity as a System Property In the world of hardware development, "prototype" is often synonymous with "experimental." It implies a level of instability that is acceptable for a proof-of-concept but disastrous for a product. However, in the vBus ecosystem—where CPU SoMs, Power SoMs,
Software
The DOM Performance Ceiling When architecting our IoT monitoring platform at Hoomanely, we knew we'd be dealing with device data that scales exponentially. Our device status dashboard needed to display real-time information across hundreds of connected devices—device IDs, user details, heartbeat status, timestamps—all updating constantly. Drawing
AI
For a long time, retrieval lived quietly in the background. It powered search boxes, filters, and internal tooling—important, but rarely the center of attention. AI changed that. In modern AI-backed products, retrieval is no longer an implementation detail. It sits directly on the critical path between user intent and
AI
Edge AI is transforming how devices interact with the real world, from smart speakers to pet care devices. A critical challenge in deploying these models is robustness in varied acoustic environments. While collecting massive labeled datasets can help, real-world constraints often limit data availability, especially for specialised domains like pet
Software
We start simple—a few functions, clean handlers, everything works beautifully. Then our application grows, and we need to do more work than fits inside a single request. Generate AI insights. Send emails. Trigger analytics. Run follow-up jobs. And the temptation appears: "Let's just spin up a
AI
Introduction Audio is one of the hardest signals to work with in real-world ML systems. Unlike images, it is continuous, noisy, and deeply tied to the environment it is captured in. At Hoomanely, we build smart pet products that live inside homes - kitchens, living rooms, and feeding areas -
Hardware
Designing an Automated Handoff Between Engineering and Manufacturing In hardware design, the moment a PCB layout is declared “done” is rarely the end of engineering. It is the beginning of translation. What follows is not soldering irons or pick-and-place machines—it is data. Files. Formats. Assumptions. Naming conventions. Layer mappings.
Firmware
Introduction When designing mission-critical edge devices, engineers often face a familiar trade-off. On one side is Linux—powerful, flexible, and 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
AI
When your edge device captures thousands of audio clips in real-world conditions, the question isn't just "what's happening?" — it's "what's going wrong?" At Hoomanely, our Everbowl continuously monitors a pet to provide preventive healthcare insights for pets. But
Firmware
The convergence of Artificial Intelligence and Internet of Things (AIoT) represents one of the most significant technological shifts happening right now. Unlike traditional IoT systems that simply collect and transmit data, AIoT devices think, learn, and make decisions at the edge—transforming raw sensor data into intelligent insights without depending