Problem
A production vision station is only valuable if it behaves predictably every shift. Trigger timing, camera exposure, image quality, decision output, result handshakes, and traceability all need to work as one controlled system.
Back to systemsDefined heartbeat, acknowledgement, timeout, and fault-handling patterns so the station fails visibly instead of silently. Created versioned release and rollback practices for production delivery. Converted commissioning lessons into SOPs, validation checklists, and repeatable rollout discipline.
Gnutti Carlo Group Sweden
Standardized Vision Stations
Lead Vision Engineer / July 2025 - Present
Production vision station architecture that connects PLC events, multi-camera capture, AI decisions, traceability, and commissioning into a repeatable standard.
PLC handshakeMulti-camera captureTraceability
My Role
Owned the architecture from prototype logic to production deployment: PLC events, acquisition flow, processing and AI decisions, result handshakes, commissioning validation, and support patterns.
Impact
A standardized production architecture that is easier to validate, replicate, troubleshoot, and support without depending on one-off hero fixes.
System Architecture
- PLC event flow drives synchronized multi-camera acquisition.
- Camera and lighting setup follows repeatable alignment and image-quality acceptance checks.
- Processing layer returns deterministic results, acknowledgements, diagnostics, and failure states.
- Traceability layer stores image metadata and inspection outcomes for audit, support, and dataset growth.
Tools
Industrial camerasPLC interfaceEdge processingTraceability database
Implementation Highlights
The useful work sits between camera signal and production decision.
Next Step