Component Inspection
Detailed Detection of Critical Component Flaws
The OV20i AI Vision System performs detailed inspections of individual components, detecting critical flaws that can impact performance and lead to costly repairs.
Key Applications
Radiator Quality Check
The OV20i automates near-impossible radiator quality checks by detecting 2mm pinhole tube failures on large radiators (3x4 ft) from 15 feet away. This system is uniquely capable of operating in chaotic General Assembly environments, effectively handling challenges such as operators moving in front of the part, inconsistent radiator positions, and complex part geometry, all without external lighting. It can even differentiate between damage on the tube versus the fins, preventing costly repairs by catching issues early in the assembly process.
Metal Piping Dimensional & Structural Integrity
For a major metal piping manufacturer requiring precise cuts and bevels on metal pipes, the OV20i's segmentation recipe accurately identifies a myriad of defects including (hot) saw cuts, weld caves, open ends, and cracks. Overcoming failures of five prior vision systems due to high detail needs or proximity issues, the versatile tool impressed by generalizing to various pipe lengths, distances, and lighting conditions with minimal training, reducing rework costs and reputational damage.
Electric Motor Coil Winding Issues
Overview AI assists industrial-scale motor manufacturers in detecting coil winding issues in their electric motor assembly line. Exposed windings can cause faults in motor coils and damage the winding machine itself. The OV20i's [class/seg] algorithm quickly highlights defects, flags them to an operator, and can stop the winding process to prevent damage, detecting a wide variety of failure modes and image angles even with only a handful of training images.