Blurobi has received an international innovation award for smart mobility, recognising work on privacy-aware edge computing for traffic and parking applications. The award follows the company's gold-medal result in Geneva for the same line of research.
What the reviewers singled out is the combination of two techniques: multi-target perception that separates privacy-sensitive road users from task-relevant ones, and differentiated pixel shuffling that makes sensitive targets unrecognisable while keeping the statistical features a violation decision needs. The back end can therefore decide without ever seeing identifiable raw footage.
The company treats this as an engineering requirement rather than a research demonstration. The same approach ships in production products used for curbside monitoring, where the question of what a system is allowed to see has to be answered before a city will put it on the street.
Development continues on the perception stack, with the next releases focused on low-light performance and on multi-sensor fusion for complex intersections.
