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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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3 of 40 articles
Clear allOct 1, 2026 · 3 min
Edge AI vs cloud AI for industrial operations: what the choice actually depends on
Cloud AI suits training and fleet analytics; edge AI is required when decisions must happen at the asset. When each fits, the hybrid architecture Helin uses, and two tests for making the call.
Edge ComputingMachine LearningCloud & AzureMay 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