Service

Custom Software Development

Off-the-shelf software rarely fits the demands of a specific production process. Our software engineers develop custom inspection algorithms, operator interfaces, and data management systems designed around your exact requirements. From real-time defect classification to factory-wide quality dashboards, we build software that integrates seamlessly into your production workflow.

What we deliver

Inspection algorithms

Custom image processing algorithms for defect detection, classification, measurement, and verification. Optimised for your specific materials, defect types, and processing speed requirements.

Deep learning models

AI-based defect classification using convolutional neural networks trained on your production data. Iterative model development with managed datasets and validation processes.

Operator interfaces

Intuitive HMI applications designed for production environments. Clear defect displays, roll maps, trend charts, and recipe management — built for operators, engineers, and quality managers.

Data and reporting

Production databases, statistical process control, roll-by-roll quality reports, and data export. Integration with MES, ERP, and factory information systems.

PLC and automation integration

Communication with PLCs, SCADA systems, and machine controllers via OPC-UA, Modbus, digital I/O, or custom protocols. Automated rejection, sorting, and process control.

Platform migration and upgrades

Modernisation of legacy vision systems — upgrading cameras, software, and processing hardware while preserving proven inspection logic and production continuity.

How it works

Requirements capture

Detailed analysis of your inspection requirements, operator workflows, integration points, and data needs.

Architecture and prototyping

Software architecture design and rapid prototyping of key algorithms using your sample images and data.

Development and testing

Iterative development with regular reviews against your acceptance criteria. Comprehensive testing with production-representative data.

Deployment and validation

On-site installation, integration testing, and production validation to confirm performance under real conditions.