Automate Visual Inspection with AI

Validron builds custom computer vision models for defect detection, presence checks, and classification. Start with a focused test model to see whether AI can work for your specific product, material, or inspection task.

ABOUT
VALIDRON

Validron builds custom computer vision models for industrial inspection. We help companies test their specific use case quickly using small, focused AI models trained on synthetic and real data. The goal is simple: validate feasibility before investing in large-scale solutions.

Q & A

Can AI detect my specific defect?
That is what the test model is for. We first validate the task on a focused version before larger development.

How accurate can the model be?
Accuracy depends on the task, data quality, defect visibility, and real-world variation. Many tasks can reach high accuracy, but each case must be tested.

Do I need a large dataset?
Not always. Validron focuses on fast validation using limited data, synthetic data, and targeted model training.

Is the test model a full production system?
No. It is a validation step designed to show whether the approach is promising.

What happens after the test model?
If the results are good, the model can be improved, expanded, and prepared for real workflow use.

Examples

Defect Detection

Presence Check

Classification

View Examples

Detect scratches, cracks, rust, dents, or other visible defects on products and materials.

Verify whether required parts, connectors, components, or items are present and correctly positioned.

Sort or grade items visually, such as OK / not OK, type A / type B, or acceptable / defective.

Each project starts with a small test model tailored to your inspection task. We validate feasibility quickly using synthetic and real data before scaling.

01

Define Task

02

Build Test Model

03

Evaluate Performance

Request a Test Model

PROCESS

04

Next Steps

Before building a full solution, we create a focused test model for your specific inspection task. This helps validate whether computer vision can detect the defects, parts, or visual differences you care about.

Review of your inspection task
A focused test model for your use case
Example results on relevant images
Recommendation for the next step

A test model is not a full production system. It is a practical validation step before larger development.

CAPABILITIES

Core computer vision capabilities designed for real-world inspection tasks. From defect detection to presence verification and classification, built to adapt to your setup.

Start a Test

Models can achieve high accuracy (often around 90% or higher), depending on the task and data quality.