Contrinex Highlights Advanced Sensing and Smart 3D Vision at SPS 2026

At the SPS – Smart Production Solutions trade fair, Contrinex will demonstrate hardware and software architectures for industrial automation across metal forming, discrete assembly, and logistics operations.

Core Technology and System Architecture
The technical presentation centers on contactless sensing and edge-processing vision architectures. For sheet-metal processing lines, the Smart Double-Sheet Detection system provides contactless inspection with capacity for up to 15 stored material profiles. Integration operates via the IO-Link interface alongside an inline configurator, enabling parameterization without external programming software.

For component assembly, the Smart Nut Detection system utilizes a single inductive sensing unit engineered to verify thread presence and dimensional positioning across metric sizes ranging from M5 to M12, eliminating the requirement for dedicated mechanical fixtures. The Smart C23 Laser Sensor features a reduced optical spot size, higher optical resolution, and an extended operating distance to detect small parts in high-density installations. For dimensional verification and process monitoring, the enhanced 3D Smart Camera incorporates direct fill-level measurement algorithms and point-cloud export through a standardized REST API, allowing edge data exchange with higher-level supervisory control architectures.

Deployment or Implementation
Deployment procedures focus on backward compatibility and rapid commissioning across automated workcells. Sensor parameterization and diagnostic routines integrate through the PocketCodr tool and digital IO-Link masters without PLC program interruption. For harsh operating conditions, sensors featuring ActivStone ceramic-based coatings are deployed directly into robotic welding cells to prevent spatter accumulation and mechanical abrasion.

Industry Applications
Target sectors include automotive manufacturing, machine-tool fabrication, packaging, and high-speed robotic material handling. In metal stamping, inline double-sheet verification prevents dual-blank feed errors that cause catastrophic die fracture and press downtime. In automated welding and fastening cells, single-sensor M5 to M12 nut inspection ensures correct fastening sequences prior to downstream joining. In continuous process and bulk material environments, REST-enabled 3D vision cameras track volumetric fill levels in containers and transfer stations without mechanical contact.

Operational Impact and Performance Metrics
The architectural shift toward IO-Link parameter storage and REST-based vision networking provides measurable operational gains in line availability. Storing up to 15 material configurations within sensor memory shortens batch changeover sequences by eliminating manual mechanical recalibration during sheet coil transitions. Multi-diameter sensing across M5 to M12 fasteners reduces active sensor inventory and sensor-head replacement cycles on production tooling. At the cell level, real-time 3D point-cloud streaming via REST API removes the requirement for dedicated secondary processing PCs, lowering integration latency and standardizing diagnostic telemetry into existing plant execution systems.

Edited by Evgeny Churilov, Induportals Media - Adapted by AI.

www.contrinex.com