Thanks to the possibility of remote connection, our technicians will be able to promptly intervene to answer your questions or solve any problems when using the machines.
Based on proven and secure software, the proposed service module implements end-to-end AES 256-bit encryption and is SOC2, HIPAA / HITECH, ISO / IEC 27001 and ISO 9001: 2015 certified, as well as fully GDPR compliant .
If this solution does not satisfy you we can implement other types of connection via VPN and/or Remote Desktop.
The data and information obtained from our vision systems are all stored and easily accessible: you can associate the images with the identification code of the single piece or lot as certified proof of product quality, or simply store and archive the analysis data in your management system for further elaboration.
All our systems can be used with great flexibility as important support tools for business analysis.
All our systems are designed to interact, through numerous communication protocols, with any other predisposed device.
Our vision system will be interconnected to your network and able to exchange and share data, command or be commanded by any other player on the production line and much more.
Our web interface allows you to monitor the progress of your production in real-time: you can consult a lot of information through a comfortable and simple interface, both from PC and smartphone.
In addition to instantaneous data, you can also have access to aggregate statistics and data history, all easily filterable for analysis or sharing results with quality or production departments.
In the age of Big Data, our vision systems will guide you in analyzing the data that really matter.
Whenever a defect is identified, we also save multiple boundary information such as type, position and size; thanks to an innovative signaling system, the machine is able to detect anomalous situations and notify them directly to line managers via email or other protocols on PC and smartphone.
This will allow you to take immediate action to reduce waste, but also to develop important offline analyzes, with all the data you need to make a difference!
