Know your material before it leaves the plant
Monitor gradation, particle characteristics, and material variability with mobile and continuous imaging, so quality and production teams know what they are shipping sooner.
25+
Active materials companies and labs
150+
different aggregate types analyzed in the field
The challenge
Aggregate QA/QC has a timing problem
Quality teams cannot manage variability they cannot see.
Traditional testing remains essential. It just cannot see what happens between samples.
A plant can watch a conveyor in real time and still judge thousands of tons from a handful of physical samples.
Physical test
A scheduled snapshot
Material changes
Production keeps moving
Next result arrives
The material has already moved on
Delayed signal
Issues are found after the process has moved on.
Limited context
One sample cannot explain when the change began.
Higher risk
Variability can grow before corrective action starts.
How it works
Image-based analysis for higher-frequency aggregate visibility
Image capture
Mobile or inline
Aggregate images are captured using mobile devices or inline imaging systems, providing consistent visual data with less effort and at a higher frequency.
Image analysis
Size, shape, and gradation
Computer vision analyzes each image to generate a gradation curve, flat and elongated equivalent measurements, and detailed particle size and shape data.
Digital QC/QA platform
From data to decisions
Results are organized by sample, material, location, and time so teams can compare results, monitor trends, maintain traceability, and identify changes earlier.
digitalΔggregate brings traditional QC results and higher-frequency digital measurements into one connected environment.
Who it serves
Built for construction materials operations
One quality platform across sites, materials, and teams.
Aggregate producers and quarries
Monitor crushed stone, gravel, and manufactured coarse aggregates across pits, plants, and stockpiles.
Recycled and manufactured materials
Characterize variable or emerging materials while maintaining consistent sampling, analysis, and reporting workflows.
Concrete producers
Connect aggregate variability with concrete quality, mixture performance, and material-selection decisions.
Asphalt producers and contractors
Extend specifications, lots, sublots, testing, and quality analytics into asphalt production and project workflows as supported modules become available.
Business outcomes
Earlier insight. Better control.
Help quality and production teams act before variability becomes expensive.
Detect process changes earlier
Identify changes in material characteristics and particle distribution.
Improve production consistency
Give operators and quality teams a shared view of material behaviour over time.
Reduce unnecessary testing effort
Use routine imaging to guide where additional physical testing and investigation are most valuable.
Strengthen traceability
Maintain a searchable history of samples, images, results, specifications, reports, and operational context.
Support mix optimization
Unlock hidden data and give teams the insights they need to optimize concrete and asphalt mixtures while maintaining the required laboratory and contractual testing.
Reduce quality risk
Investigate potential non-conformance before material is shipped or consumed.
One platform, two capture methods
From mobile testing to continuous monitoring
Use the right level of visibility for every operation. digitalΔggregate supports both guided sample imaging and real-time plant monitoring. Both methods feed the same quality workspace, allowing teams to begin with mobile capture and expand without replacing their software or historical data.
One workspace for all your data
Both capture methods feed the same cloud workspace so you can start anywhere and scale without starting over
Sample photo, ready for analysis
Mobile imaging
Capture prepared aggregate samples using a smartphone or tablet in the field or lab, without installed plant hardware.
Real-time inline vision
Monitor material at selected points in production with industrial imaging and on-site edge processing.
Where each method fits
Mobile imaging
- Stockpile checks
- Laboratory samples
- Field investigations
- Product comparisons
- Calibration and validation samples
Real-time inline vision
- Real-time production visibility
- Earlier drift detection
- Product change monitoring
- Crusher and screen adjustment feedback
- Multi-shift operating history
Platform capabilities
The digitalΔggregate ecosystem
Turn aggregate observations into operational knowledge.
VisionLab
Image-based analysis
Analyse size and shape characteristics from captured aggregate imagery.
Outputs include
- Particle-size distributions
- SieveEQ distribution analysis
- Shape and size indicators
- Sample and image-level statistics
- Material comparisons
- Historical distributions
Overview
Quality dashboards
Explore trends, comparisons, and compliance status so quality and production teams share one view of material performance.
Explore performance by
- Facility
- Product
- Aggregate source
- Date and production timeframe
- Sample
- Analysis type
- Compliance status
Sentinel specifications
Create quality specifications and automatically evaluate incoming results against defined limits. Configurable to all DOT and provincial standards.
Sentinel can support
- Custom parameter limits
- Warning and failure severity
- Location-specific requirements
- Product-specific specifications
- Specification versioning
- Historical compliance review
Reports and traceability
Generate consistent quality reports containing charts, result tables, sample information, specifications, and approval history.
Reports include
- PDF reports
- Secure sharing
- Audit history
- Role-based access
- Multi-location reporting
digitalΔggregate and Giatec SmartMix are connected. Quality data pushes both ways.
Integrations
Quality results, specifications, and mix decisions often live in separate systems. digitalΔggregate pushes signed-off gradation, size, and shape into Giatec SmartMix so mix optimization can use the same aggregate quality the workspace already has, while required laboratory testing stays in place.
Designed to connect
- Giatec SmartMix, available now
- APIs and purpose-built connectors
- Production and dispatch systems
- Laboratory and enterprise platforms
Frequently asked questions
digitalΔggregate can be validated against physical reference testing using the materials you actually produce. Paired digital and physical results help establish expected performance, repeatability, and the operating conditions where image-based measurements can be used with confidence.
digitalΔggregate is designed to complement established physical testing by providing faster and more frequent visibility into aggregate quality. Physical testing can continue to serve as the reference or acceptance method, while digital measurements help teams monitor variability, identify trends, and determine when additional laboratory confirmation may be needed.
Performance depends on the material, measurement being evaluated, imaging conditions, and sample presentation. Rather than relying on a single universal accuracy claim, digitalΔggregate can be compared with your physical test results to understand performance for each material and application.
Changes such as moisture, particle presentation, material source, or product type can affect image-based measurements. digitalΔggregate helps teams understand these operating conditions so digital results can be interpreted appropriately and physical verification can be used when needed.
Analysis is currently available for coarse aggregate, including recycled and manufactured coarse materials. Fine aggregate and blended products that include a fine fraction are not yet supported. Performance depends on particle visibility, preparation, moisture, material characteristics, and calibration.
Image analysis currently covers coarse aggregate, typically particles 4.75 mm and larger. Fine aggregate and blended products with a significant fine fraction are not yet supported. Practical results still depend on particle visibility, sample preparation, moisture, and calibration for the specific product.
The underlying platform and analysis pipeline are shared, but reliable sieve-equivalent interpretation may require facility-, product-, or material-specific calibration and validation.
Yes. Organizations can begin with guided mobile imaging and the cloud workspace, then evaluate continuous inline capture where additional production visibility is valuable.
Yes. Sentinel is designed to support configurable limits, parameters, products, locations, severity levels, and specification versions.
digitalΔggregate can support integrations through APIs and purpose-built connectors. Integration scope should be assessed based on the target production, dispatch, laboratory, optimization, or enterprise system.
Customer environments are access-controlled with role-based permissions, encrypted data in transit, and audited activity in the workspace. Specific tenant-isolation, hosting, and retention details are reviewed during deployment planning for your organization.
See how digitalΔggregate fits your operation
Explore how it can support your current workflow and the quality challenges you want to solve.