Anomaly Detection, Real-time Equipment Monitoring - Infopulse
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Anomaly Detection Solution

Enhance equipment maintenance processes with an intelligent solution that proactively detects abnormalities and is geared towards the specific needs of the Oil & Gas, Manufacturing, and Energy industries

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Our Solution Helps You
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Optimize Operations

Simplify the complexity of anomaly detection in equipment and ensure safety with real-time data insights

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Speed Innovation

Prevent unscheduled maintenance and quality issues early in the production process to scale your organization quicker

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Reduce Errors

Minimize error-prone human inspection by automating the process of identifying and resolving deviations

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Leverage Data-driven Approach

Gather and access all measurable data through user-friendly dashboards with the ability to make changes

Key Features

  • Real-time intelligence based on ML algorithms
  • Mathematical models for visualization and anomaly detection tailored for each dataset
  • Concise data visualization through dashboards and analytical reports with detailed actionable insights
  • User feedback is used for the solution recalibration and improvement

Path to Value

  • Understand the operational processes and how equipment works
  • Collect and process data from industrial systems and equipment
  • Apply the existing ML approaches or build a customized one
  • Continuously train end-users/engineers how to use the solution properly
  • Transform your business via actual integration into operational processes

Cases

Energy, Oil & Gas

Case for Industrial SaaS Company

A Gas Turbine Monitoring Solution with Anomaly Detection
Infopulse helps an oil and gas operator to build a monitoring solution leveraging Digital Twin, advanced analytics, and anomaly detection to guarantee the fail-safe operation of gas turbines.
gas-turbine-monitoring-anomaly-detection-image
Manufacturing

Case for Digital Innovation Company

Convolutional Neural Network for Manufacturing Needs
A digital initiatives provider was looking to develop a Computer Vision and IoT solution for their metal manufacturing client. See how Infopulse trained and implemented a convolutional neural network (CNN) that helped the client save development costs and achieve high fault tolerance.
Implementation of Convolutional Neural Network for Manufacturing | Case Study | Infopulse - case image
Manufacturing

Case for Large Group of Steel & Mining Companies

Reducing Production Defects with Predictive Quality Models
The customer needed to implement an advanced analytics solution to predict and prevent defects in their steel sheet manufacturing. Infopulse team built predictive quality models that helped decrease the number of defects and costs for their detection.
Predictive Quality Models and Advanced Analytics Reduce Production Defects and Expenses | Case Study - case image

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