AI-Powered

Edge & Part Cutting Control System

In iron and steel, automotive, metal industry and white goods production facilities, on-line control of cut metal parts is of great importance. SpechtLab optimizes your production processes with the Edge Cutting Control System to provide a solution to this critical need. Micron-level damages that occur in cutting blades over time cause defects on the edges of metal parts. Failure to detect bad edge cuts early can lead to serious problems in the production process. Deterioration in edge quality can be caused by problems such as blade wear, adjustment errors and blade cracks. It is difficult to detect such defects with traditional methods because observation of fast-flowing metal is risky and there is usually no chance to control the edge cutting quality. This situation can often lead to late detection of defects and major production losses.

Specification and Advantages

High Resolution Imaging: The Edge Cutting Control System uses high-resolution cameras with the help of powerful high-speed lights to capture detailed images of cutting edges in a short time. This allows for a detailed examination of both sides of cut and uncut edges at the same time.

Real-Time Analysis: The system detects cutting blade wear, blade adjustment problems and blade cracks in real time. This allows intervention before quality problems occur.

100% Inspection: Even at high line speeds, the system examines each cutting edge to detect blade defects and edge cracks resulting from previous processing stages. This minimizes production errors and ensures that the metal strips remain in high quality at every stage.

Automatic Defect Detection and Warning: The Edge Cutting Control System can recognize clear signs of defective edges by analyzing more than 20 million images. Thanks to this learning system, defective edges are detected in real time and measures such as blade replacement or adjustment correction can be taken.

Perfect Blade Control: The system documents the current status of the cutting blades, allowing blade cracks to be detected at an early stage. This information allows maintenance operations to be planned at the most appropriate time.

Cut-to-Fracture Ratio and Ideal Settings: The Edge Cutting Control System provides concrete data, not just visual estimates, by maintaining ideal mechanical settings. Warnings defined according to the specific needs of the material can be documented and referenced for metallurgical properties and processing variables. Operators are notified when actual results are outside the reference range.

Power of AI

SpechtLab Edge Cutting Control System offers an AI-powered solution that instantly detects edge defects in metal parts cut in metalworking centers and iron and steel production facilities. Equipped with high-precision sensors, this system continuously monitors the cutting points by detecting even the smallest damages at the micron level. As the metal parts processed with cutting blades move along the production line, the system detects possible defects by monitoring their edges with micron precision and sends an instant warning to the production line. Thanks to this proactive approach, metal parts are brought into compliance with quality standards before processes such as pressing or bending, thus minimizing possible errors and increasing efficiency in the production process.

SpechtLab’s Edge Control System takes quality control a step further in the metalworking industry, optimizing production processes and increasing efficiency. This innovative system ensures high quality results at every stage, minimizing errors and reducing costs in the production process.