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
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.
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.
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.
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.
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.
1
Data Analysis
2
Data Cleaning and Preprocessing
3
Feature Assessment
4
Model Training & Evaluation
5
Post-processing work
Benefits and Results
Increased Accuracy Level
The usage of multiple data sources
to train algorithms provides
improved quality and more
consistency in the analysis
Increased Scalability
ML-based approach for data processing can
handle large volumes of data, making it scalable
to accommodate growing infrastructure
monitoring needsIntegration with Existing Systems
Seamless integration with existing monitoring
systems and databases ensures continuity of
operationsFlexible Development Approach
Algorithms development with Intetics remote in-
sourcing team is 30% cost-effective in comparison
with building relevant in-house expertise
Featured Case Studies
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