You can find below our recently accepted work in IEEE Conference on Artificial Intelligence (CAI) AI Standard 2025, entitled “State of play and future directions in industrial computer vision AI standards” and authored by A. Stefanidou, P. Radoglou-Grammatikis, V. Argyriou, P. Sarigiannidis, I. Varlamis, and G. Th. Papadopoulos.
Link: https://arxiv.org/abs/2503.02675
The recent tremendous advancements in the areas of Artificial Intelligence (AI) and Deep Learning (DL) have also resulted into corresponding remarkable progress in the field of Computer Vision (CV), showcasing robust technological solutions in a wide range of application sectors of high industrial interest (e.g., healthcare, autonomous driving, automation, etc.). Despite the outstanding performance of CV systems in specific domains, their development and exploitation at industrial-scale necessitates, among other, the addressing of requirements related to the reliability, transparency, trustworthiness, security, safety, and robustness of the developed AI models. The latter raises the imperative need for the development of efficient, comprehensive and widely-adopted industrial standards.
The present study investigates the current state of play regarding the development of industrial computer vision AI standards, emphasizing on critical aspects, like model interpretability, data quality, and regulatory compliance. In particular, the work focuses on the following key aspects:
- Systematic analysis of launched and currently developing CV standards, proposed by the main international standardization bodies (e.g. ISO/IEC, IEEE, DIN, etc.)
- Comprehensive discussion on the current challenges
- Future directions observed in this regularization endeavor
