Zero-Latency Motion Tracking with OpenCV
Heavy machine learning models don't work everywhere, especially not on the edge where computing power is not as good. I have recently developed a si…
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Beyond Isolates: How MicroVMs are Redefining Edge Function Performance
Moving Beyond the Isolate Paradigm The serverless and edge computing landscape is currently undergoing a significant shift. For years, the industry…
Building an Edge AI People Counter: The Parts After Detection
A working people counter produces an entry or exit event, not a box drawn around a person. The detector is only one part of the job. A camera frame…
Nvidia PAIR enables local AI cluster construction
Nvidia has introduced a free software tool that allows users to create AI inferencing clusters using separate computers on a single network. This ut…
Designing an Edge-Native RFID Ingress and Live Telemetry Engine
When 20,000+ delegates access a major exhibition center concurrently, wide-area network (WAN) saturation is inevitable. If your physical access gate…
Declarative Edge Orchestration: Cloudflare Workers & n8n for SaaS Automation
Introduction & Industry Context In the rapidly evolving landscape of SaaS, solopreneurs and tech agencies face a unique challenge: scaling opera…
How to Build a Scalable IoT Architecture for Telecom Tower Monitoring
Telecom towers are distributed infrastructure environments containing much more than radio equipment. A typical site may include grid connections, d…
The AI revolution that fits on your phone
While everyone argues about trillion-parameter giants in distant datacenters, the most important shift in AI is quieter: a capable model small enoug…
Remote Diagnostics for Low-Power IoT Devices: Stop Treating Them Like Servers
The hardest failures in low-power IoT are often not total silence. They show up as partial signals: battery voltage drifting down, RSSI getting wors…
How Factory Data Actually Gets from Machines and PLCs to the Cloud
Industry 4.0 data collection sounds simple until you look closely at the factory floor. In theory, the flow is clean: machine → gateway → cloud → da…
On-Device AI Just Got Real
Apple's newest on-device model carries about 20 billion parameters, and on any given request it fires maybe one to four billion of them. That gap —…
The Disconnected Edge: How We Solved In-Flight Data Sync at 35,000 Feet
When most engineers think about rolling out a modern streaming or web application, they visualize a standard cloud-native environment: a global CDN,…
Tech Pragmatism: Why More Decentralized Data Actually Equals Centralized Utility
Navigating the tech space today often feels like walking a tightrope between two extremes: massive corporate monopolies holding all the keys, and id…
TFLite Edge Model Quantizer Snippet
I've put together a Python snippet for post-training integer quantization of TensorFlow Lite models. This process is key for making machine learning…
Edge Computing for IIoT: When to Process at the Source
My first attempt at a remote vibration monitoring system ended with a network switch that couldn't handle the throughput and a cloud bill that made…
When AI Diagnoses the Plant Before Anyone Notices: How Endress+Hauser Eliminated 80% of Measurement Fault Support Calls
TL;DR: Endress+Hauser deployed an AI diagnostic engine across 300+ industrial plants; the system resolves 80% of measurement device faults without h…
OpenClaw and the Architecture Nobody Noticed
This week, Sam Altman announced that Peter Steinberger, creator of OpenClaw, was joining OpenAI. The open-source project would move to an independen…