zdzw solutions
MECHANICAL HARDNESS INSPECTOR
π‘ Real-time inspection based on Digital TWIN to define the microstructural and hardness evolution during induction heat treatments.
π It reduces the material waste to 1% and the energy consumption by approximately 25%.
VOLUMETRIC INSPECTOR
π‘ This solution uses various quality techniques to analyze and compare products with expected 3D shapes, detecting deviations and defects that may affect final product quality.
π It analyzes 120 parts per minute, detecting 95% of defects, classifying parts by model, and rejecting unknown components, reducing costs and resulting in a more reliable defect detection system, not subject to human error.
WELDING PROCESS MONITORING
π‘ Online welding defect detector which allows to estimate the presence of defects during the welding with scalable AI analysis adaptable to different welding processes.
π It enables an early actuation on defect correction, reducing waste on reworking time and scrap.
MIR-OCT
π‘ Real-time, non-contact, and non-destructive inspection with ultra-high-resolution images to reduce defect-related delays and energy waste.
π It allows for real-time fault detection, streamlining the manufacturing process and minimizing waste.
SURFACE ANOMALY DETECTOR
π‘ A vision system analyses 2D images to ensure the quality on the production and identify visual defects on the surface of manufactured goods.
π It enables an early actuation on defect correction, reducing waste on reworking time and scrap.
HEAT TRANSFER DIGITAL TWIN
π‘ Thermoforming Digital Twin to help thermoformed plastic part manufacturers to reduce raw material & energy consumptions thanks to its optimization algorithm and defect prevention capability.
π It reduces defects in the thermoforming process by up to 50 %, material consumption by at least 5% and, overall, increases Overall Equipment Effectiveness (OEE) by 10%.
AE-BASED INTEGRITY ASSESSMENT
π‘ A vision system analyses 2D images to ensure the quality on the production and identify visual defects on the surface of manufactured goods.
π It enables an early actuation on defect correction, reducing waste on reworking time and scrap.
ARTIFICIAL VISION
π‘ An edge AI machine vision inspection device to identify visual defects on manufactured goods, checking correct assembly and preventing the inclusion of faulty pieces in the final product.
π It enables the optimal management of those applications that require hard real-time and are characterized by a sparse defect dataset, as well as contributing to cost reduction due to the reduced need for off-line sampling tests.
IR THERMAL INSPECTION
π‘ Real-time thermal imaging to monitor the thermoforming and every step of heat-sealing processes in the production line to detect defects.
π It enables proactive maintenance by ensuring optimal process sequencing, provides real-time alerts on bad process trends, and offers precise defect detection in thermal imaging to minimize material wastage and production costs.
EMAT UT
π‘ Ultrasonic-based system for in-line multi-pass weld inspection with defect characterization.
π It reduces scrap production by approximately 60%, minimises rework times and improves process yield based on a better defect detection and characterisation.
AR-ENHANCED INSPECTOR
π‘ AR-Enhanced Inspector to locate and visualize defects on large-scale system by inspecting the whole target object via augmented reality with a hand-held device.
π Highly reliable and fully automated inspection providing defect-detection of over 95%.
