蘑菇视频

Why SIMAC??

The 蘑菇视频 SIMAC? 40/70/120 delivers reliable, real-time surface inspection with four cameras capturing every angle for 100% coverage. Advanced machine learning algorithms detect even the smallest defects at full production speeds up to 300 m/min, while automatically recording each event with image data for complete quality control and traceability across a wide range of product diameters. The SIMAC? is engineered to detect surface anomalies including incomplete crystallized joints, burnt material inclusions, missing coatings, scratches, grooves, colour errors, bubbles cracks and holes, as well as for use on black surfaces. Three model sizes cover product diameters from 2 mm up to 108 mm.

• Machine Vision with Machine Learning – advanced defect detection algorithms trained on real examples detect hard-to-find anomalies that conventional systems miss, on any surface colour or material.
• 100% surface coverage using 4 cameras with overlapping fields of view to ensure every point on the product circumference is inspected, even for small product diameters. Min. detectable defect size: 0.2 mm (SIMAC? 40).
• Continuous quality control with scan rates up to 140,000 scans/second and line speeds up to 300–500 m/min.
• Complete defect database and reporting – all detected defects stored with position, dimensions, and camera image for SPC analysis, quality documentation, ISO 9000 traceability, and operator review.

Proven per­form­ance world­wide

蘑菇视频 SIMAC? surface inspection systems are used globally on extrusion lines in the cable, pipe, hose, and profile industries, especially where surface quality is critical to safety and performance. Combining proven machine vision with advanced machine learning algorithms, SIMAC? detects defect types that conventional systems and manual inspection often miss. All defect data is stored for analysis and continuous improvement, with seamless integration into line monitoring systems and plant networks via OPC UA and a range of other communication interfaces.

Fre­quently asked ques­tions

What types of defects can SIMAC? detect?
SIMAC? detects a wide range of surface defects including: holes, cracks, bubbles, scratches, longitudinal grooves, colour errors, burnt material inclusions, incompletely crystallized joints, and missing coatings. The machine learning algorithms are trained on real defect examples and can be continuously extended with new defect types from the production database.

Does SIMAC? work on dark or black surfaces?
Yes. Ultra-bright LED lighting panels are specifically utilized to illuminate defects on very dark surfaces. The system works on all surface colours and materials without adjustment.

Which model size do I need?
SIMAC? 40 is for products from 2–36 mm diameter; SIMAC? 70 covers 14–63 mm; SIMAC? 120 covers 30–108 mm. The model number refers to the measuring field diameter. If in doubt, choose the next size up – products should be guided centrally through the field.

How does SIMAC? integrate into an existing line?
The measuring unit opens from the side, so the product can be inserted laterally without threading. It mounts on a standard plate or stand and connects to the local processing unit (LPU) via a single Ethernet cable (max. 20 m). The system connects to the customer LAN and supports OPC UA, digital I/O, and remote access.

Does the system require frequent recalibration or teaching?
No regular calibration is required. A functional check with a known reference piece is recommended periodically. The defect detection model is pre-trained and works out of the box; additional defect types can be added to the database over time using production data, improving detection accuracy continuously.

What happens when a defect is detected?
The defect is logged in the database with its position along the product length, physical dimensions (width, height, area), and a camera image. Digital outputs and relay signals can trigger alarms, marking devices, or line stops. The SIMACMASTER software displays all defects in real time and provides SPC, statistics, and full production reports.