ALBERT was honored with a Bronze-level Award by Vision Systems Design 2017 Innovators Awards Program
The judging panel consisted of esteemed experts from system integrator and end-user companies.
To meet the specific needs of the food industry Opto Engineering in cooperation with its Italian partner Sensure has applied neural network technology to machine vision and developed an innovative and easy-to-use vision system that learns from examples as humans do.
The system, named ALBERT, is a self-learning vision system for shape and color inspection, based on artificial intelligence techniques. The core software is based on neural networks, software algorithms that mimic the human brain.
Thanks to a set of built-in features and its self-learning ability, ALBERT learns the characteristics of food products directly from the production line on a standard batch of products without complicated settings.