Testing and validation of IoT and blockchain enabling technologies to measure and improve workplace safety

We can provide scientific and technical support to test and validate smart safety management systems for agricultural workplaces.

Interested in this service? Contact us at giampaolo.raimondi@unina.it, or francesco.bonavolonta@unina.it 

Overview

We offer a dedicated service for the testing and validation of IoT- and blockchain-enabled technologies aimed at improving workplace safety in agriculture. Leveraging our expertise and specialised facilities, we support the evaluation of smart safety management systems that integrate RFID, automated surveillance, and real-time PPE monitoring. These technologies enable transparent, tamper-proof records of safety-related events and help ensure compliance with regulatory standards. Our service includes field testing, data analysis, and system optimisation to help companies refine their solutions and accelerate safe and effective implementation in real agricultural environments.  

More about the service

This service is for customers that need to test or validate the performance of AI-based systems/devices/procedures that enhance workplace safety. The service can also provide technical advice and recommendations to customers towards compliance with national and EU regulations.  

The service will be delivered through the research facilities, expertise, and testing infrastructure of the University of Naples Federico II. Pilot tests in controlled agricultural environments can be conducted to validate the technology.

The service can be customised based on customer-specific needs, specific safety targets and workplace conditions. Customisation options include advice on selecting appropriate IoT sensors, configuring RFID tracking for specific operations, and adjusting blockchain protocols for data security and access control.  
Location
Italy
Type of Sector
Arable farming
Food processing
Greenhouse
Horticulture
Type of service
Collection of test data
Data analysis
Performance evaluation
Test execution
Accepted type of products
Design / Documentation
Software or AI model