Altus adds to inspection systems portfolio

26th November 2019
Mick Elliott

Altus Group has agreed a partnership with Kitov, a supplier of fully automated inspection solutions. The deal strengthens the Altus portfolio of equipment for the electronics industry, and adds a new dimension to the product range.

“It is very important that we partner with forward-thinking companies who can provide our customers with the very best solutions for their needs,” explained Richard Booth, managing director. “Manufacturing processes are changing and with the digital transformation to Industry 4.0 it is important that we have a number of solutions that will integrate and work well within this ideal. Kitov sits perfectly within our portfolio and has best-in-class technology solutions with a fully automated Smart visual inspection solution for a broad range of production lines and markets. 

With superior detection which incorporates full 3D coverage, Kitov systems are consistent, quicker and reliable, when compared to human-based visual inspection methods.

Kitov harnesses 3D computer vision algorithms and artificial intelligence, such as machine learning and deep learning, to reliably and consistently detect and classify critical defects without human intervention.

The system is based on a design that includes a robotic arm and a high-accuracy rotating table. This design imitates the way humans look for defects and facilitates the collection of multiple images of the inspected product from various angles, positions and illumination conditions.

Products include KITOV ONE, a smart 3D universal system that can effectively inspect virtually any product.

By imitating human learning processes, it features an intuitive method to teach the system how to optimally inspect almost any product.

Setting up the system does not require programming skills or knowledge of robotics or optics.

Software computes and controls the processes of image acquisition and image processing by using pre-set algorithims called detectors.

Artifical intelligence capabilities are used to find and classify defetcs.


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