The food industry faces extremely high production rates, stringent quality standards, constantly evolving regulations, and a growing need for traceability and objective verification. Production
lines must ensure reliable and consistent quality controls, even on products that are irregular in nature or whose appearance varies over time.
The natural aesthetic variability of industrial food production can hide production non-conformities that only an industrial vision system can consistently and accurately detect, even at high speeds and on multiple parallel lines.

Our automated quality control systems ensure that products are free from aesthetic defects such as cracks, breaks, or bubbles, are free of contaminants, have been fired correctly, and many other possible shape and color checks.

In this challenging context of hygiene and safety, speed and variability, Specialvideo is the ideal partner to meet the demand for compliant and consumer-friendly products.

Our experience with industrial artificial vision applied to the food sector has led us to understand how leavening, baking, and filling processes generate variability in the three-dimensional shape and color of baked goods, whether fresh, pre-baked, or frozen.

Other typical processes in industrial food products also create variable characteristics that require automated visual inspections to adapt in a similar way to visual quality control by specialized operators.
Let’s think, for example, of the shortcrust pastry grid that covers the jam on top of a tart, which is deposited mechanically but which, in industrial excellence, can achieve a handcrafted appearance: we have solved an adaptive industrial machine vision problem that we describe in the case history of automatic control for tartlets .

When a food company plans to robotize a production and packaging line, it needs to integrate stable, fast, and precise vision systems capable of guiding robots around difficult products and applying adaptive visual logic.

Specialvideo creates robot guidance in the food sector, to automate operations such as handling, sorting, and packaging of food products, with excellent performance:

With over 30 years of experience in the field, Specialvideo srl brings innovation to the food industry by creating complete artificial vision systems to ensure consistent quality, safety, traceability, and production continuity.

Our solutions achieve extremely comprehensive and reliable levels of control, implementing both classic computer vision and artificial intelligence. A concrete example of an industrial application of neural networks is the pizza quality control system, in which AI enables accurate assessment even in the presence of strong product variability, such as irregular shapes and non-uniform ingredients.

Our machine vision expertise is based on decades of applied research: we developed self-learning systems long before the advent of deep learning, demonstrating a pioneering ability to analyze complex products.

Each Specialvideo solution is designed to integrate with the customer’s layout, machine cycle, and real-world operating conditions. We guarantee industrial robustness, rapid commissioning, operational continuity, and adaptability to production processes, offering vision solutions that become an integral and reliable part of the production line.