The 3D scanner for used tires automates the data entry of key information, automatically measures the tread depth, identifies unacceptable wear, and classifies each tire according to configurable criteria. Discover how computer vision can automate inventory control and management.
We are pleased to announce that Specialvideo is moving into the new premises at:
Via Lasie 12/D – 40026 Imola (BO)
The new location, still within the municipality of Imola, represents a further step in the company’s growth and development, with the aim of offering you an even more efficient and organised service.
Please note that the company will be closed for moving operations during the week of 22 to 26 June, inclusive.
We would also like to inform you that the company will be closed on June 1 and for the summer break from 10 to 21 August, inclusive.
All telephone numbers and email addresses remain unchanged.
We thank you for your trust and continued collaboration and look forward to welcoming you soon to our new premises.
Specialvideo proposes an incremental workflow to automate the quality control of finished fabrics with Artificial Intelligence.
The neural networks underlying Artificial Intelligence for computer vision must be trained with real images of the product to distinguish defective portions of finished fabrics in the continuous flow of compliant products.
It is true that AI is flexible and can give surprising results on similar products never seen before, but it is also true that the best performance is achieved by providing Artificial Intelligence with images acquired in the field of the same textile industry for which the system is intended.
Specialvideo has designed a progressive path for integrating AI into quality control for continuous textile production, which is structured in implementation and study phases:
Therefore, the first fabric inspection system installed in the factory has two purposes:
Solid colour inspection implements monochromatic processing capable of finding stains, holes and other alterations.
Each product non-conformity is stored in the digital defect map, the file that represents the reel by tracking the defective portions of the fabric and their position on the roll.
The same vision system is activated by the customer in colour image acquisition mode for AI training, in order to capture the portions of fabric with defects.
During these acquisition sessions, defects must be marked in advance with adhesive labels.
The vision system is capable of recording counts and statistics useful in the context of Industry 4.0.
To learn more about Specialvideo’s experience in the field of visual inspection with linear cameras, please read the case history of vision systems for PVC rolls.
Specialvideo wishes you the Season’s Greetings and a Happy New Year ❄ Our company will be closed from 23/12/2025 to 06/01/2026.
We will regularly resume the activities on Wednesday 7 January 2025.
Using Ultralytics’ YOLO models, Specialvideo has developed a reliable, high-precision quality control system for pizzas that identifies, counts, and verifies toppings on the fly.
We wish you a happy summer and inform you that our offices will be closed from August 11th to 17th 2025.
Specialvideo develops high-precision robot guidance systems for the food industry to automate handling, coating, and finishing operations, through to food packaging.
For example, it has implemented solutions for quality control of cookies and crackers, integrating vision systems with robots to identify defects and manage product handling.
Just in the food industry, Specialvideo has extended the application of robot guidance to multi-robot lines for complex systems, improving the flexibility and efficiency of production processes.
Among the most recent applications, Specialvideo has developed 3D robot guidance for automatic ham greasing. The machine vision system is responsible for 3D reconstruction of the ham surface, identification of the part to be greased with AI, and generation of the spray path.
The featured photograph depicts the system in operation and participated in the “Frame the Innovation” Machine Vision photo contest.
Specialvideo wishes you the Season’s Greetings and a Happy New Year ❄ Our company will be closed from 23/12/2024 to 06/01/2025.
We will regularly resume the activities on Tuesday 7 January 2025.
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.
We wish you a happy summer and inform you that our offices will be closed from August 12th to 18th 2024.
