Blog
Field notes from the industrial edge.
Points of view, engineering deep-dives and educational posts on running real-time AI and control loops in OT environments.
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- Read Helin’s articles on industrial operations, edge intelligence, and security.
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4 of 40 articles
Clear allJul 24, 2026 · 9 min
The Split Brain: What It Takes to Run Industrial Edge Applications
Industrial edge applications bridge cloud systems and plant-floor machinery that can't always stay connected. Here's how six Zero Trust-aligned services, identity, nodes, networks, workloads, data, and observability, keep both halves secure and running independently.
EngineeringEdge ComputingCybersecurityJul 22, 2026 · 6 min
We Started by Detecting People. We Ended Up Modeling the Work.
Helin runs vision-AI inference at the edge to make the human layer of industrial operations visible. Built on Azure Machine Learning, IoT Hub, Device Registry and Microsoft Fabric, the platform turns raw detections into real-world models of how work actually happens.
Vision AIEdge ComputingCloud & AzureEngineeringMay 20, 2026 · 8 min
Overcoming Vision Deep Learning Challenges: Why Stratified Sampling Matters More Than You Think
Stratified sampling builds on a core truth from the first article: better models come from better data, not just more of it. Intentional selection across camera, time, and source prevents blind spots that even clean datasets can contain.
EngineeringVision AIMachine LearningFeb 19, 2026 · 6 min
Overcoming vision deep learning challenges: why bigger models aren't always better
We're launching a new Engineering Blog series, where Helin engineers share practical insights from building real-world AI systems. Jason, Tech Lead at Helin, explores the impact of “dirty” data, the limits of automated labelling, and how targeted dataset clean-up can turn a good model into a great one.
EngineeringVision AIMachine LearningData & Analytics