Specialvideo developed the 3D vision system on board the machine dedicated to reading the DOT code on tires, in collaboration with Uteco Contec

The fully automatic 3D reading cabin detects the DOT code printed on the tire in any position, without manipulating the tire.

The code reading is based on deep learning with a hybrid solution that combines the strengths of neural networks with traditional algorithms: reliability, accuracy and generalization.

The system works at high speeds and without knowing tire diameters and heights in advance.

To learn about the system, we invite you to read the case history and contact us for more information.

Specialvideo presents a Deep Learning quality control for pizzas, that inspects the toppings by returning the count and extent of ingredients classified by type, as well as performing classic checks such as shape integrity, color conformity, and detection of possible blue pollutants.

The application made for pizzas is suitable for other food products that have the ingredients to be checked visibly arranged, e.g., ready-made salad and pasta dishes.

To learn about the system, we invite you to read the case history and contact us for more information.