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Deep Vision Interoperability Specification Standard (DeepVISS) has a two fold mission.

On the technology level, it aims to provide a unique framework for various computer vision tasks to work together and with other systems seamlessly and to usher the way for higher-level abstractions such as second-order events and practical applications of machine learning. One example would be of a face recognition and classification system and of a automatic license plate recognition (ALPR) system exchanging data and events in order to facilitate correlations between cars and owners.

On the community level, it aims to provide a forum for dialogue between the cutting-edge innovation and state-of-the-art capabilities of the research community and the practical applications envisioned by industry leaders already pursuing a computer vision strategy.

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