Computer Aided Visual Inspection

Felidae Systems offers computer-aided intelligent automated systems that typically surpass the standards of manual inspection. This computer-aided visual inspection software can perform quality checks through deep learning. The process involves image acquisition, feature extraction, and so on.

To put it simply, deep learning combines human visual inspection with the speed and robustness of a computerised system. It teaches machines to perform a human function in a more advanced and precise manner, leaving no room for error.

At the same time, machine vision is used to deliver image-based automated inspection through visual computing technology. Basically, this process involves mechanically viewing the activities that take place along the production line.

Inspection systems can identify unique product shapes, part measurements and correct positions.

These systems come equipped with:

• A single-camera or multiple cameras
• Barcode scanners
• X-ray machines
• Foreign object detectors
• Video inspection tools

When passed through the system, the product is inspected by the in-built computer software and instantly analysed to produce images. This process will trigger specific actions based on the product analysis done, like recognizing errors or defects.