Identify and count parts, from tiny sub millimeter precision parts to very large packaging material
Machine Vision can be used where human visual processes are not reliable and can lead to errors. One such example is in counting small parts, especially when the parts are in large numbers. Qualitas has developed a solution for counting small parts, be it Piston Rings, Pharmaceutical Vials or tiny casted components for jewelry.
The main benefits are:
- Easy to train using a point and click interface
- Much higher accuracies, comparable to manual counting, but with the much faster processing time
Our solution uses Deep Learning for counting small parts.
Our Proposed parts counting machine uses machine vision which is widely used in various industries and helps in solving all the productivity-related problems and at the same time meets the customer’s expectation. Currently, the company has deployed many machines for counting parts.
Our solutions are running successfully across a variety of different industries and applications. Some images are shown as an illustrative example below.
Images Captured by the Vision System
Qualitas has developed a visual inventory tracking system that can count the product based on the image of the product.
Piston Ring Counting
This machine is used to count piston rings and can count 20 + different models of rings ranging from a minimum thickness of 0.25mm.