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  • ML-Powered Data Processing for Civil Engineering

ML-Powered Data
Processing for Civil
Engineering

Combining deep data science expertise and
innovative development techniques, Intetics
delivers ML-powered solutions to transform the
data processing approach for critical infrastructure
and environmental monitoring companies.
Intetics works with any type of geodata including
visual data from drones or ground-based cameras,
LiDAR, satellite imagery data.

ML-Powered Data Processing for Civil Engineering Solutions, 11 - intetics.com
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  • ML-Powered Data Processing for Civil Engineering

Challenges We Solve

02
01
03
04

Long and expensive manual
processing of survey data prevents
detecting and addressing critical
infrastructure issues on time

The involvement of
manual labor increases the risks
of human-related errors during
the survey process

The limitations of data types used
in existing data automation tools

High costs and efforts on creating
and maintaining in-house ML
expertise to develop solutions for
automating survey data processing

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  • ML-Powered Data Processing for Civil Engineering

What We Offer - Transportation

For Railroad Operators & Rail Survey Providers

  • Automated detection of railway tracks & infrastructure;
  • Analysis of railroad conditions, identifying specific rail features and defects for
    maintenance, including:

    • Railroad gauge;
    • Sleepers;
    • Track location;
    • Track fastening system;
    • Poles;
    • Ballast;
    • Centerline;
    • Vegetation;
    • and more.
ML-Powered Data Processing for Civil Engineering Solutions, 12 - intetics.com
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  • ML-Powered Data Processing for Civil Engineering

What We Offer -

Energy Infrastructure

For Powerlines and Utilities

  • Automated identification and analysis of powerline structures, towers,
    wires, and other physical components, including detecting wear and
    tear, corrosion, and any visible damage;
  • Automated identification and analysis of vegetation encroachment
    near power lines.
ML-Powered Data Processing for Civil Engineering Solutions, 13 - intetics.com
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What We Offer - Oil & Gas

For Pipelines & Construction Sites Operators

  • Automated identification of pipeline routes and segments, detection of
    potential leaks or structural issues;
  • Automated identification and analysis of construction sites segments,
    including:

    • Tanks;
    • Separators;
    • Buildings;
    • Secondary containment;
    • Heaters
    • Combustors,
    • Recycle pumps,
    • and more.
ML-Powered Data Processing for Civil Engineering Solutions, 14 - intetics.com
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Cooperation Workflow

Based on the available data, Intetics automates the data processing workflows by developing ML-based solutions
for automated feature extraction and further change detection.

cooperation_workflow_icon_1
1

Data Analysis

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2

Data Cleaning and Preprocessing

cooperation_workflow_icon_3
3

Feature Assessment

cooperation_workflow_icon_4
4

Model Training & Evaluation

cooperation_workflow_icon_5
5

Post-processing work

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Benefits and Results

  • check-icon-blue-sm

    Improved Efficiency and Optimized
    Resource Allocation up to 30%

    Automation reduces the need for
    manual data processing, leading to
    faster analysis and decision-making.
    The automated data processing also
    saves up to 30% of admin and salary
    costs by decreasing human work
    involvement

  • check-icon-blue-sm

    Increased Accuracy Level
    The usage of multiple data sources
    to train algorithms provides
    improved quality and more
    consistency in the analysis

  • check-icon-blue-sm

    Increased Scalability
    ML-based approach for data processing can
    handle large volumes of data, making it scalable
    to accommodate growing infrastructure
    monitoring needs

  • check-icon-blue-sm

    Integration with Existing Systems
    Seamless integration with existing monitoring
    systems and databases ensures continuity of
    operations

  • check-icon-blue-sm

    Flexible Development Approach
    Algorithms development with Intetics remote in-
    sourcing team is 30% cost-effective in comparison
    with building relevant in-house expertise

  • ML-Powered Data Processing for Civil Engineering Solutions, 15 - intetics.com
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Featured Case Studies

item icon
Case 1

Intetics Solution Empowered a Big EU Railway Company to Detect Infrastructure Issues and Automate the Inventory Processes, Reducing Costs

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Case 2

Interview with Intetics for RailDirector: Acceleration of the Railway Infrastructure Asset Management through Automation

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Case 3

Automated Drone Image Processing Reduced Manual Work by 70% for a US-based Environmental Monitoring Company

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