Neadvance – Machine Vision, S.A.


Neadvance - Machine Vision, S.A

Neadvance – Machine Vision, S.A, is a Computer Vision and Intelligent Systems company that develops computer vision and artificial intelligence solutions and platforms for the digital and industrial revolution worldwide.

Neadvance’s mission is to develop innovative, high value-added solutions in the fields of Computer Vision and Artificial Intelligence, helping to raise the highest standards of quality, excellence and sustainability in production processes and services.  Neadvance’s solutions respond to the challenges posed by Industry 4.0 and Digital Transformation in the various verticals in which it operates.

Neadvance will contribute to the Agenda through its participation in the automatic visual inspection project and the implementation of its results.

what they are

developing as part of the Microelectronics Agenda

– AI-Based Framework to Systematise Image Acquisition Processes in Visual Inspection – AI-Based Framework to Systematise Image Acquisition Processes in Visual Inspection Systems. Products, Processes and Services (PPS) consists of a framework based on Artificial Intelligence and Computer Vision that makes it possible to systematise image acquisition parameterisation processes and continuous monitoring of image quality and suitability in industrial visual inspection systems:
i) In the development phase (laboratory): to support the choice of the best image acquisition parameterisation for the system under development;
ii) In the installation and production phases (shop floor): to support the validation of the quality and suitability of the images acquired by the system during the installation phase, as well as their continuous monitoring in the production phase.

– AI-Based Framework to Systematise Automatic Anomalies and Defects Detection in Visual Inspection Systems. PPS consists of an AI and CV-based framework to systematise the development of industrial visual inspection systems based on the automatic detection of generic anomalies and specific defects:
i) In the development phase (laboratory): develop tools to optimise and standardise time-consuming and critical procedures for developing AI algorithms, such as data acquisition and annotation. These tools must be flexible and adaptable, standardising the structure of the data acquired and methods for encapsulating algorithms, in order to encourage their reuse;
ii) In the installation and production phases (shop floor): to develop a generic and modular tool that standardises the integration of the system’s various components, namely software for continuous monitoring of image quality and suitability; software for capturing and organising images and meta data; algorithms for detecting generic anomalies and specific defects; and mechanisms for alarming and sending notifications.

– Automatic Inline Visual Inspection Unit for Electronic Manufacturing. The PPS consists of an industrial visual inspection system with automatic detection of anomalies and defects for the target products chosen in the project pilot. This tool will be developed from the PSS16 and PPS17 products, and validated on ATEP’s shop floor, in order to demonstrate the potential of the two aforementioned products in transforming the processes associated with developing automated industrial visual inspection systems in terms of efficiency, replication, and easy customisation for different use cases in the electronic manufacturing industry.


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