AI-Powered Inspection for Powder Metallurgy Pawls

Overview

The Powder Metallurgy Pawls Inspection Machine is an intelligent, fully automated vision system designed to inspect powder metallurgy components such as pawls, ratchets, and similar sintered metal parts.
It performs non-contact, high-speed measurement and defect detection, allowing manufacturers to achieve 100% quality assurance without manual sampling or visual checks.

Using AI deep learning algorithms combined with multi-angle prism optics, the system can detect both dimensional variations and subtle surface defects that are often missed by traditional inspection methods.
With a speed of up to 200 parts per minute, it is ideal for large-scale, precision component production.

Key Features

A patented prism configuration simplifies camera setup and ensures complete image coverage.
It efficiently captures defects at the rivet root, including burrs, cracks, and dents, with minimal blind spots.

Integrated AI deep learning enables detection of micro and complex defects that conventional algorithms often fail to identify — ensuring intelligent, adaptive inspection performance.

The system supports four distinct pawl geometries, eliminating the need for frequent hardware adjustments or reconfiguration.

Designed for mass production environments, the system achieves inspection speeds up to 200 parts per minute without compromising accuracy.

Every inspected component is logged with corresponding images and analysis data for traceable quality control and production reporting.