GVA R&D 2026 PHYSICAL RISK ASSESSMENT Analysis of Experimental Laboratory Testing Data to Develop Predictive Models for Conformity Assessment and Decision Support – PRECONLAB

The children’s products sector must comply with increasingly demanding safety requirements in a context shaped by new European regulations and growing complexity in conformity assessment processes. Currently, product compliance decisions mainly rely on laboratory testing, which can be costly and time-consuming. PreConLab addresses the need to leverage historical laboratory test data to develop artificial intelligence-based predictive models capable of anticipating potential non-compliance issues, optimizing resources, and supporting technical decision-making related to children’s product safety.

Objectives

During 2026, an initial assessment will be carried out to evaluate the potential of historical laboratory testing data for its application in artificial intelligence-based predictive models aimed at improving the safety of children’s products.

In addition, the opportunities and limitations of these technologies for estimating compliance with safety requirements will be analyzed, the suitability and quality of the data space available at AIJU will be assessed, and an intelligent assistant for toy age grading will be developed and validated.

Furthermore, the results obtained will be translated into publicly available dissemination resources addressing Regulation (EU) 2025/2509 and the potential of predictive models and artificial intelligence for the children’s products sector, helping to optimize product design processes, reduce development costs, and enhance product safety.

Task

Since the start of the project, activities related to the implementation and dissemination work packages have been carried out. Firstly, a state-of-the-art analysis has been conducted on the new Regulation (EU) 2025/2509 on toy safety and its impact on the children’s products sector. As a result, an interactive infographic has been developed outlining the main regulatory changes, together with a technical study on how artificial intelligence-based predictive models can optimize the assessment of compliance with safety requirements.

In addition, a preliminary analysis of the data space available at AIJU has been performed, focusing on historical physical and mechanical testing results to assess their suitability for the development of AI-based predictive models.

Furthermore, activities related to the design, development and validation of an intelligent assistant for toy age grading have been initiated in accordance with Regulation (EU) 2025/2509 and Directive 2009/48/EC, including the definition of functional requirements and the knowledge base required for its implementation.

Finally, dissemination and knowledge-transfer actions have been undertaken to bring the project’s results closer to companies and other stakeholders involved in children’s product safety.

Objectives achieved

During the current project period, progress has been made in assessing the potential of historical data generated through laboratory testing of children’s products for its future application in artificial intelligence-based predictive models aimed at improving product safety.

A state-of-the-art review has also been conducted on the use of artificial intelligence and predictive models in fields related to conformity assessment and product safety. This work has made it possible to identify the main opportunities and challenges associated with the use of these technologies in the context of the new regulatory requirements affecting the toy sector.

In parallel, a preliminary analysis of the data space available at AIJU related to physical and mechanical testing has been carried out. The main data sources have been identified and evaluated in terms of their structure, quality and suitability for the future development of predictive models capable of estimating compliance with safety requirements.

Furthermore, the initial requirements and methodological foundations for the development of an artificial intelligence-based assistant for toy age grading have been defined in accordance with Regulation (EU) 2025/2509 and Directive 2009/48/EC on toy safety.

In addition, the development of dissemination materials aimed at companies and sector stakeholders has begun, including an interactive infographic presenting the main changes introduced by Regulation (EU) 2025/2509. These materials are intended to facilitate understanding of the new regulatory obligations and raise awareness of the potential of AI-based predictive models to optimize the design, assessment and development of safe children’s products.

File and execution period

Project Reference Number: IMAMCA/2026/3
Start Date: 01/01/2026
Status: Ongoing
Grant Amount: €110.000,00

COORDINATOR CONTACT

Name: Encarna Alemañ
Phone: +34 96 555 4475 (Ext. 331)
Email: proyectosseguridad@aiju.es