Opto Engineering® presents ALBERT®, the innovative vision system for automatic inspection of food products, flexible and easy to use.
Thanks to its advanced artificial intelligence ALBERT® self-learns the shape and color of products by observing a normal production batch that is immediately ready to be sorted.
ALBERT® is distributed by Opto Engineering®, an Italian company specializing in industrial imaging technologies and has partnered with numerous automation integrators all over the globe. ALBERT® originates from a joint venture between Opto Engineering® and Sensure.
Is ideal for quality assurance of food production lines.
Ideal for bakery products like cookies or breads but also frozen, confectionery and other foods products. Albert® is capable of sorting products regardless of their order and position.
ALBERT® is the ideal solution for inspecting production lines of cookies, where traditional vision systems fail since the acceptability criteria of the product isn’t determined by a single parameter but by a subjective combination of multiple variables.
ALBERT® is the ideal solution for inspecting bread production lines, where traditional vision systems fail since the acceptability criteria of the product isn’t determined by a single parameter but by a subjective combination of multiple variables.
ALBERT® is the ideal solution for inspecting production lines of chocolates, where traditional vision systems fail since the acceptability criteria of the product isn’t determined by a single parameter but by a subjective combination of multiple variables.
ALBERT® is the ideal solution for inspecting production lines of confectionery products, where traditional vision systems fail if the acceptability criteria of the product isn’t determined by a single parameter but by a subjective combination of multiple variables.
ALBERT® is the ideal solution for inspecting production lines of frozen food products or meat, where traditional vision systems fail since the acceptability criteria of the product isn’t determined by a single parameter but by a subjective combination of multiple variables.