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.
TL;DR
- Read Helin’s articles on industrial operations, edge intelligence, and security.
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- Open an article for its takeaways and full analysis.
18 of 40 articles
Clear allOct 1, 2026 · 6 min
Industrial edge computing: what it is and how it works on real assets
Industrial edge computing runs software on hardware at the asset, so control decisions execute in under 100ms with no internet connection and data stays on site. How the three layers work, the four problems it solves, and where it runs today.
Edge ComputingComplianceOct 1, 2026 · 3 min
Edge computing in oil and gas: how drilling rigs handle operations without reliable connectivity
Satellite links add latency and drop out. Why safety and control decisions on a drilling rig have to execute at the rig, and what that means for data sovereignty, NIS2 and governance offshore.
Oil & GasEdge ComputingSafetyOct 1, 2026 · 3 min
Edge computing in manufacturing: how distributed production facilities use local processing
Multi-site manufacturers run different machines, protocols and teams at every plant. How a governed edge deployment model works, what the Cyber Resilience Act changes, and when edge computing makes sense.
ManufacturingEdge ComputingComplianceOct 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 & AzureOct 1, 2026 · 4 min
How to choose an industrial edge platform: a checklist for teams comparing products
Seven questions to ask every vendor on your shortlist, from protocol coverage and offline behavior to security, deployment speed and hardware lock-in, plus the red flags to watch for.
Edge ComputingSecurityOct 1, 2026 · 4 min
Predictive maintenance at the edge: why local processing changes what you can catch
High-frequency sensor data is too heavy to stream to the cloud, so faults slip through. How edge-resident models catch them earlier, scale across a fleet and feed your maintenance workflows.
Edge ComputingData & AnalyticsJul 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 & AzureEngineeringJul 22, 2026 · 6 min
Seeing the Human Layer: Helin Brings Edge Vision AI to Industrial Operations on Azure
Helin and Microsoft are launching a joint solution that brings edge vision-AI to industrial operations on Azure. Built on Azure Machine Learning, IoT Hub, Device Registry and Microsoft Fabric, and available on Azure Marketplace.
Vision AIEdge ComputingCloud & AzureSafetyMay 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 LearningApr 13, 2026 · 6 min
Advanced analytics in red zone management
This article explores how advanced analytics in red zone management transforms real-time safety data into powerful operational intelligence, revealing hidden inefficiencies, behavioral patterns, and opportunities for optimization. By combining insights like exposure and intrusions with video and operational data, organizations can move beyond reactive safety measures and start redesigning workflows for both safer and more efficient performance.
Oil & GasSafetyData & AnalyticsMar 17, 2026 · 4 min
IPP Transformation Series (Part 4 of 4): The invisible engine behind an IPP
At a certain scale, renewable assets stop behaving like projects and start behaving like a system. Part 4 closes the series: technology isn't a support function for IPPs, it's the foundation, real-time data, unified control, and true interoperability.
Renewable EnergyIPP TransformationAsset ManagementMar 10, 2026 · 4 min
IPP Transformation Series (Part 3 of 4): Growth brings complexity and that is where many IPPs struggle
The real challenge after becoming an IPP: how do you grow without losing control? Why scaling breaks down, and how resilient IPPs avoid firefighting by building structure early across people, process, and technology.
Renewable EnergyIPP TransformationAsset ManagementMar 3, 2026 · 4 min
IPP Transformation Series (Part 2 of 4): From developer to Independent Power Producer
How the shift to IPP actually happens: clear intent, the right capabilities, and a digital foundation that supports scale. Moving from awareness to action without losing momentum along the way.
Renewable EnergyIPP TransformationAsset ManagementFeb 24, 2026 · 3 min
IPP Transformation Series (Part 1 of 4): The traditional renewable energy business model no longer works
Price volatility, grid congestion and falling capture rates are putting margins under pressure. Why EPCs and single-asset models are under structural pressure, and why operational maturity and the IPP model now decide who captures value.
Renewable EnergyIPP TransformationAsset ManagementFeb 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 & AnalyticsFeb 18, 2026 · 4 min
From delayed insight to real-time awareness: how edge technology is advancing offshore rig safety
As rigs grow more automated and operations more complex, delayed visibility is no longer acceptable. How Safety 4.0 combines edge computing, vision AI and rig-to-shore collaboration to give crews instant awareness of the most hazardous parts of the operation.
Oil & GasSafetyEdge ComputingVision AIFeb 4, 2026 · 6 min
Cybersecurity for Renewable Energy: risks, regulations, and 5 practical steps
In 2026, cyber threats are a core operational risk for renewable asset owners and operators. Why renewable assets are vulnerable, what NIS2 and the Cyber Resilience Act mean for you, and five practical steps to strengthen your defenses — from password hygiene to a rehearsed incident response plan.
Renewable EnergyCybersecurityCompliance