Technology | ONE Tech
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Our Technology Foundation: MicroAITM

Your pathway to greater operational awareness

MicroAITM is a next-generation AI and machine learning algorithm that makes IoT devices and machines smarter and more secure.

See Live Demo

MicroAI™ is a self-correcting, semi-supervised learning engine that aggregates data from PLCs, IoT sensors and other existing sources, to tune itself to create a 360-degree view of asset behavior – delivering performance improvements and security enhancements to any IoT device or machine.

Why we invented it

ONE Tech’s MicroAITM was developed to enable machine operators and device managers to gather specific data about their assets—in real-time— without dependency on the cloud. The result has been a new, transformative, awareness of the performance, integrity, and security of smart devices and machines within an IoT ecosystem. These real-time insights are providing stakeholders with the means to improve operational efficiencies and to maximize asset ROI.

Unlike cloud-based solutions that require heavy latencies, MicroAI™ is able to deliver rapid, intimate, asset analytics in real time.

Prior to MicroAITM it was virtually impossible to fit a machine learning algorithm onto an edge device. MicroAITM, in combination with ONE Tech’s custom-built machine learning network, provides an elegant solution for deployment onto IoT devices and machines. This provides operational insights that are faster, more reliable, and more cost effective. Managers and operators are better equipped to make decisions on when to procure, decommission, proactively maintain, and repair their most valuable assets to avoid catastrophic downtime and failure.

MicroAITM — Harnessing Smart Analytics at the Edge

MicroAITM — Smart (IoT) Asset Applications

  • Manufacturing Equipment
  • Smart Field Equipment (Energy, O&G, etc.)
  • Production Line Testing Equipment
  • Robotic Sensors
  • Smart Home Devices

Key Capabilities and Benefits

Protection from
Cyber Threats

  • Detection of unauthorized smart asset access
  • AI-enabled assessment of abnormal network behavior
  • Automated analysis of abnormal data variability
  • Self-learning to improve communication and authorization protocols

Smart Asset Health &
Performance Management

  • Real-time asset performance monitoring enables proactive response to performance anomalies.
  • AI-enabled predictive analytics provide insight into potential future failure.
  • Optimization of maintenance schedules to avoid unnecessary machine servicing.
  • Automated fine-tuning of asset production rates to attain an optimum balance between productivity and asset utilization.

How It Works

ONE Tech’s unsupervised learning engine evolves by fine tuning itself in order to deliver the most optimal performance improvements and security enhancements to the machine or device.

To provide the most insight, an AI algorithm must be able to ingest numerous forms of sensor data (e.g. acceleration on the x, y, and z axes) MicroAITM can concurrently analyze as many data types as needed to deliver critical alerts with the highest correlation to the specific event.

When assets are sensitive to environmental fluctuations, such as magnetic field disturbances, operators and technicians require high frequency analytics to alert them of any issues. MicroAITM delivers this seamlessly.

In mission-critical operations, actions must be taken on a split second basis to avoid a catastrophic event. MicroAITM processes all the asset data locally enabling immediate event related alerts and faster response time.

MicroAITM Atom

MicroAITM Atom provides AI and ML developers with a revolutionary approach to AI training of smart devices and machines. AI training that occurs right on the device/machine MCU.

MicroAITM Atom brings big infrastructure intelligence into a single piece of equipment or device. Unlike traditional AI-driven asset management solutions that rely on edge-based microcontrollers, MicroAITM Atom is deployed directly onto smart devices and sensors.

The advantages of training IoT assets right at the device MCU….

  • Flexibility & ScalabilityDeploy on a single asset (MCU) or scale across an entire asset ecosystem
  • Speed & AgilityData processed locally—not in the cloud—provides rapid, real-time, data-sampling
  • SecurityReal-time visibility into asset health and self-learning that enables rapid threat-response
  • CostAsset model training occurs directly on the asset MCU—no need for costly new hardware

See MicroAITM in Action

APM Tutorial

Security Tutorial

Closing the Loop

Accessing the ONE Cloud Infrastructure

ONE’s Cloud provides the infrastructure to access data from any connected source and execute complex algorithms that use data science, machine learning and artificial intelligence. The integrative capabilities work together to deliver analytics that optimize the performance of every asset while automating sales, service and core internal workflows.

Accessing the ONE Mobile Application

ONE’s Mobile Application brings Next Generation Optimization into the hands of your Technicians, Salespeople and Supervisors. By curating analytic output from the EDGE and CLOUD, ONE MOBILE empowers your field force to address the right task at the right time to improve the customer experience. With ONE MOBILE, stakeholders optimize their daily operations with more visibility and confidence than before.

MicroAITM Atom
SDK Launch

MicroAI™ Atom brings big infrastructure AI down into a single piece of equipment or device! Developers will be able to embed AI training into Raspberry Pi devices to achieve greater levels of intelligence and control.

Download MicroAITM Atom

The Powerful Advantages of Predictive Maintenance

“MicroAI™ enables machine operators and device managers to gather specific data about their assets in real-time without dependency on the cloud.”

I would like a demo showcasing _____, enabled by MicroAI™ Technology.

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