AI Systems for Precast Concrete Manufacturing

Error-free Precast Concrete Production

Stop wasting time and risking mistakes using tape measures and cell phones to check the quality of your precast concrete molds.

Computer vision systems designed by our experts automate the detection of surface and internal defects.

They can also help you create smarter mold designs using digital twins, optimize the curing process, or track the storage and transportation of finished molds.

Your production line is unique. We build systems based on artificial intelligence that are designed just for you.

Precast Concrete
Computer Vision Quality Control Solutions

This is a picture of an AI powered computer measures dimensions of a concrete block for automated quality control

Automated Dimensional Measurements

Vision systems with AI ensure accurate dimensional verification by comparing real-time precast elements dimensions to a CAD file that’s taken from a cloud database and automatically detects geometric errors and deviations.

Automated inspection minimizes errors, maintains design accuracy and ensures consistency across all precast elements.

a visualization of a computer vision system that verifies the placement of mold and rebar

Mold and Rebar Placement Verification

Vision systems ensure accurate mold alignment and reinforcement placement during the precast manufacturing process.

By analyzing structural layouts in real time, these systems detect misalignments, missing elements or deviations from design specifications.

A picture from a computer vision system that detects the chip in precast concrete

Surface Defect Detection

AI-powered computer vision identifies cracks, chipping, surface irregularities, and missing installation parts as production takes place or at the construction site.

It detects damage and verifies finishes, textures and color consistency to prevent quality issues.

a visualization of AI vision system that checks internal concrete defects

Internal Concrete Defects Detection

AI-enhanced X-ray, ultrasonic pulse velocity (UPV), and echo systems enable non-destructive testing (NDT) to identify internal voids, cracks, and density variations in precast concrete.

These technologies provide real-time structural analysis to ensure material integrity and long-term durability.

Book a Demo of OkKast – An Automated Quality Control System for Precast Concrete

Take a picture of a precast element and snap! Check it for surface defects, measure its dimensions and connect the data with your BIM system.

See how OkKast works

A picture of OkKast, an app that does automated quality control for precast concrete elements

Sound interesting?

If you are wondering what is possible, we will work with you to find the best solution for your facility.

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Example of an AI-based System
For Precast Concrete Quality Control System

Defect detection is based on data from your CAD or BIM system that provides information about the shape, dimensions, and other key parameters of the precast panels or elements. Defect detection is supported by databases containing information on potential precast concrete defects.

All of this data is compared with real-time information collected from the production line using sensors and cameras. A common practice is to combine data from handheld scanners with images from overhead cameras.

The AI algorithm detects deviations from the design and identifies defects at predefined production stages, then sends alerts to monitoring systems and your MES system for further processing.

Why You Should Invest in Modern AI Systems for Your Concrete Manufacturing Process?

New Level of Accuracy and Detection is Here

Because we build a custom system based on your unique needs, we can help you select the hardware and write a custom algorithm to match the accuracy to your requirements.

In addition, because we customize the system architecture to your unique precast concrete production process, our solution is able to cover edge cases, maximizing the detection and efficiency of the solution.

If you’re asking for specifics, the average accuracy of our custom systems dedicated to surface inspection of concrete has an average accuracy of 1 millimeter when multiple scans are combined. But we can go lower if you need us to.

Cost Reduction and Production Process Optimization

AI-driven systems reduce costs by minimizing waste, optimizing resource utilization, and preventing defects early in the process.

Advanced inspection systems improve quality consistency and reduce the need for time consuming rework or customer complaints.

Predictive maintenance systems enable early repairs to prevent costly failures, while automated scheduling and process adjustments shorten production cycle times and improve overall efficiency.

Transferable Solutions

The solutions we create are easily adaptable to changes in the production line. Thanks to the connection to CAD, changes in the shape, size or other parameters of the mold to be produced do not require recalibration of the system.

The solution will also be easily transferable to subsequent production halls and adaptable to changing production conditions.

The adaptability of the solution is scaled to your needs and long-term strategy.

You Are the Owner of the Solution’s IP

We’re partners in helping you develop a vision solution that fits your factory. That’s why we create customized IP transfer agreements that give you access to design documentation, source code, and materials. You’re free to scale and customize your solution as needed, and we’re happy to grow with you.

Once the solution is implemented, you own all rights to further modifications. We do not use any part of the project for similar products or projects, ensuring that your solution remains exclusive to your business needs.

Case Studies:
Read about AI Solutions We Developed for Other Manufacturers

Computer Vision System Eliminates 90% of Defects in Wooden Furniture Production

Computer Vision

How Camera Recordings Became a Powerful AI-based Production Line Optimization Tool

Computer Vision Data Science Machine Learning

Automated Installation Checks with AI and Computer Vision that Achieved 90% Accuracy

Computer Vision Machine Learning

Why Automate the Production of Precast Concrete with DAC.Digital?

Custom Computer Vision Development

After verifying your business case for automating precast concrete quality inspections, we will tailor the solution to your process. The process includes picking hardware, training algorithm, and installing everything in your factory.

Covers Every Stage of the Process

We provide timely deliveries and seamless AI project execution from concept to deployment. Our team is fully equipped to build AI solutions, design robust architectures, develop ML models, fine-tune performance, and scale systems for optimal efficiency.

Involved in Innovative Projects

We’re more than a service provider. We provide innovations in form of R&D projects and we have PhDs on our team that make advancement in the field of AI and computer vision. Check out our R&D projects.

Experienced in Offshore Collaboration

We’re based in Poland, but our reach don’t stop in Europe. We provide services globally and are willing to travel or send our experts that are located in the US, Germany, and more. See the map below.

Let us know what you need