Neural - Quality Control Vision System

Quality Control Vision System - Designed to increase product compliance and reduce labour intensity, the Neural-S delivers unparalleled non-destructive inspection capabilities at high throughput through the utilisation of advanced deep learning algorithms.

With its exceptional speed, accuracy, and reliability, the Neural-S enables qualitative inspection of products, ensuring compliance and enhancing overall quality control.


Neural delivers high throughput quality control at high speed, accuracy and reliability via deep learning algorithms. It is a stand alone unit easily integrated in your current production line. The essential and compact design are key to the system success. Deep learning algorithms are used to improve the performance of the analysis allowing the system to succeed where traditional vision systems cannot.

Neural ensures significant advantages in terms of line management and product traceability thanks to its capability to acquire and store data's of the classified products.

01 - Deep learning algorithm for quality control.

02 - Continuous training to increase system accuracy.

03 - Product attributes identification and categorisation.


Neural can be trained to recognise a variety of product and pack defects including:

- Incorrect shape and colour
- Holes
- Lack of vacuum
- Contamination
- Wrinkles
- Mismatching label codes
- The recognition of other types of defect can be implemented according to specific requirements.


System features also include:

-Statistical analysis on production
- Automatic reject of bad products
- Image storing
- Real-time feedback to line operator
- Rejects classification
- Full procedures automation
- Non-destructive inspection?
- No operator training? required
- Full product/pack compliance

Neural delivers high throughput quality control at high speed, accuracy and reliability via deep learning algorithms. ?