Autaza Hybrid
Autaza Hybrid is a 3D scanner with complete optical system, developed for inspection and quality control in various industries. It is capable of identifying distortions and dents in automotive bodies and aircraft fuselages.
Defects identified
- Dents
- Undulations
- Damages
Equipment and software
The Autaza Hybrid consists of a head with advanced technology for rebuilding the inspected part with high precision and intelligent software for intelligent quality reporting. The scanner recreates the 3D surface in a virtual environment of the computer. The software performs three steps during the virtual environment inspection: it simulates surface reflection, captures virtual surface images, and interprets the captured images using artificial intelligence designed to perform the analysis based on the highest quality standards of each client.
The software and hardware system is developed by Autaza, through an integrated engineering project. The objective is not only to offer measurements, but also to recommend to the factory what needs to be corrected and the location of the defects.
The Autaza Hybrid can be mounted on
- Industrial robot
- Collaborative robot
- Tripod
Benefits
Autaza Hybrid increases production efficiency because the inspector doesn't have to waste time looking for defects. All defects will be found, always with the same criteria, avoiding losses and rework by mistaken inspections. By being able to interpret defects that will only become apparent after painting the part, Autaza Hybrid anticipates the correction of defects, before they become critical.
Watch Autaza Hybrid in operation
Other Services
Autaza Surface
O Autaza Surface é um software de simulação de qualidade superficial de peças estampadas que utiliza técnicas computacionais avançadas de simulação de estampagem e inteligência artificial para a previsão de
Autaza Glass
O Autaza Glass foi desenvolvido para realizar a inspeção automática de qualidade de vidros, assegurando a aprovação rápida e confiável de produtos. É capaz de identificar defeitos em linha de