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.

The mass-produced “smart camera” vision systems can sometimes not have the solutions to specific automation needs that industries face to distinguish themselves in their sector. Then you can choose a vision system designed ad hoc by Specialvideo, made with equipment commensurate with its production lines and equipped with software developed in accordance with its production processes.

The project starts from a preliminary study in the laboratory carried out on the samples supplied by the customer, with attention to the specific performance needs, integration into the production line, and possible incorporation into Industry 4.0 projects.

In the creation of an ad hoc designed vision system, the cameras, the optics, and the light sources are specially selected to integrate into the customer’s production line, respecting the spaces of the pre-existing mechanical parts and acquiring images with specially designed lighting. The artificial vision software is developed to achieve the required performance and optimized to process within the normal production process times.

In the field of industrial quality control, ultra-high resolution images are characteristics of spot checks carried out with optical instruments by specialized operators.

Specialvideo offers the automation of visual inspection at very high resolutions, through::

  • the selection of cameras combined with appropriate high quality optics
  • the study of lighting and background, to enhance the details of the product and its defects
  • the design of the motion scan to inspect 100% of the product surface
  • the design and development of the application code, with classic Computer Vision and Deep Learning, also combined in hybrid solutions based on the strengths of both types of software: reliability, precision and generalization.

The total size of the product and the cycle time, selected by the customer, will be the basis of the design of the scanner, which can be composed of a group of several cameras, which can be matrix o linear cameras depending on the type of inspection.

The following image, deliberately enlarged to allow to see the resolution of 3 microns per pixel, shows a technical fabric for filtering, with a 80 micron thick thread.

Scanner per ispezione del prodotto al 100%: tessuto tecnico per filtraggio con scala risoluzione

In the following figure, a series of images are analyzed by an Anomaly Detection Neural Network which depicts the output in blue for portions recognized as compliant and in red for non-compliant portions:

Scanner per ispezione del prodotto al 100%: tessuto tecnico per filtraggio ispezionato da rete neurale

Specialvideo presents a 2D and 3D quality control for biscuits, crackers, breadsticks and leavened products. It can be integrated into robot lines, at a rate of over 1000 pieces/min.

The vision system for the quality control of biscuits verifies the integrity of the shape of the products and checks the fillings such as jam, cream and chocolate by quantity and position.

The application made for biscuits is suitable for other non-regular-shaped products such as crackers, chocolates, breadsticks and other baked goods.

For products as leavened products, in which height is a critical characteristic, we offer three-dimensional controls.

The system visually checks the cooking level. It detects the presence of any foreign bodies and pollutants that cause color anomalies.

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

Specialvideo presents a quality control of Brilliant Uncirculated coins based on learning the model coin, thanks to which it determines the differences that cause discards, tolerating the variability due to the production process.

The concept of compliant currency is learned by the system by memorizing a series of coins free from gross defects or in any case having defects at different points of the coin. From that series, the system elaborates the model coin, therefore it takes into account the acceptable variability, due to the production process.

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

When it comes to Industry 4.0, what are the basic ideas and the goal?

The goal is to support and encourage companies that invest in new capital goods and tangible and intangible assets (software and IT systems) functional to the technological and digital transformation of production processes.

Innovation 4.0 does not lie in introducing cutting-edge machinery from a technological point of view, but in knowing how to combine different technologies and thus integrate the factory system and the production chains to make them an integrated, connected system in which machines, people and information systems work together to create smarter products, smarter services and smarter work environments.

Specialvideo vision systems meet the requirements for industry 4.0 and we are available to analyze with you all the aspects, which are already part of our working method, from interconnections, controls, monitoring to remote assistance.

To know the source of the National Transition Plan 4.0, you can follow this link: https://www.mise.gov.it/index.php/it/transizione40

In Specialvideo it is our custom, in receiving visiting customers, to show demos of the vision systems we have created.

The case histories published online are only a small part of the experience we have and continue to gather since 1993 in the computer vision sector.

We choose for you, among the many projects carried out, some of the most similar in terms of needs and industrial sector.

The photo in this article is a preview of a filter quality control, which we haven’t talked about on our website yet. It is an application born in the biomedical sector and characterized by being able to be applied also to different products, in search of molding defects, such as burrs, lack of material, pollutants, and other aesthetic shape anomalies. We will return to talk about this application when we publish the Deep Learning chapter: it is in fact one of Specialvideo’s industrial vision systems that implement Neural Networks. For more details do not hesitate to contact us to request a demo of this or other Specialvideo vision systems.

It is true that the health emergency for Covid keeps us from having as many live meetings as in the past, but the passion in showing our work continues, even remotely.

In person, we are prepared to welcome you with all the hygienic provisions to combat the virus we are all used to.
Telematically, with the call conference and screen sharing platform of your choice, we are available with the same technical insights and with all the enthusiasm of Specialvideo when it comes to computer vision applications.

Personalized machine vision starts with laboratory analysis.

With Specialvideo, a custom-made artificial vision project starts with a feasibility study carried out in our laboratories, based on the customer’s technical information and samples.

The sales engineer, dedicated to your project, searches for the lighting solution that brings out the surfaces and details that need to be analyzed. When the images acquired in the laboratory are satisfactory, the design passes to the software and hardware that will be put into production.
The interaction with the Customer characterizes our method, already from this preliminary study phase. It allows us to produce a reasoned commercial offer, oriented to the required performance.