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DentalTest quality monitoring of dental abutments

DentalTest in action, dental abutment monitoring system 

Quality monitoring of dental abutments.
System for monitoring dimensions, surface and marking

teknics has developed a flexible solution for quality monitoring of dental implants, based on artificial vision technology using neutral networks (Deep Learning), capable of performing precision dimensional control together with an analysis of aesthetic defects.

The equipment can be configured for multiple formats and allows the end user to add new models directly.

Its small dimensions, together with a range of over 24 hours, make it easy to integrate with the customer's production process.

Optionally, a laser marking module can be added for Datamatrix/Logo/Reference, enabling full traceability of the final inspected product.

Implant Dental Machine

Advantages

Máxima flexibilidad

Maximum Flexibility

The flexible feeding system allows us to work with a wide variety of product families:

- Epitoidials

- Scanbody

- Pillars

- Screws

- Implants

- Analogues

- Transfers...

Dimensional Control

Through artificial vision or mechanical control of internal dimensions.

This system allows large number of mechanized coordinates to be supervised, recording any deflection from the corresponding error categories.

The viewing resolution is ±0.01 mm (with safety factor of 10).

Control Dimensional

Surface Inspection

The system features Deep Learning technology, which allows surface defects that cannot be detected with other traditional systems to be detected and inspected (with a fixed criterion).

It has a greater capacity and reliability than that of a human being. In addition, it allows the machine to be extended with future learning and improvements.

Types of defects that we can detect:

- Marks/Scratches/Dents

- Wrong colour/Wrong anodizing

- Dirt

Cambios de Formato Rápido

Fast Format Changes

All tools are equipped with a quick changes to reduce downtime.

A flexible solution for a constantly changing world

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