About us

U1 Research is a privately held start-up research company. It was founded in 2009, by members of a team that won, among others, the ACM KDDCup (Knowledge Discovery and Data Mining Cup) in 2006. The team was honoured by five 1st Prize, three 2nd Prize, and 10+ Best European Team awards since then. Our members and co-workers are highly innovative and widely recognized researchers who are looking forward to challenges, while pushing the limits of IT technologies. We are currently working on projects mostly referred as 'future technologies' in the literature on various fields including:

Real-time video data processing or video analytics
Real-time behaviour related data analysis and data mining
Data mining aware privacy protection

Contact

Address: 7 Boraros sq., Budapest, Hungary, H-1095
Phone: +36 1 797-0698
Email: backoffice (at) u1research.org

Public Research Projects

Blind Guide (in cooperation with Magyar Telekom)
Real-time traffic sign recognition (in cooperation with NNG)
Real-time traffic analysis (in cooperation with NNG)

Experiences and Competence Areas

Real-time video content analysis and processing

Sport Analysis
Human Behaviour Analysis
Traffic Analysis (In-door and Out-door)
Animal Behaviour Analysis and Welfare
Home Care Services
Video Based Positioning

Data Mining and Data Stream Analysis

Data Protection Act Proof Anonymization
Privacy Preserving Data Mining
Predictive Analytics

Press releases

vs.hu (Sport data analytics, in Hungarian)
Népszava (Sport data analytics, in Hungarian)
Digital Business (Sport data analytics, in Hungarian)
Figyelő (Blind guide, in Hungarian)
Népszava (Health Data Mining - Personalized Treatments, in Hungarian)
Origo (NNG-U1 cooperation traffic sign recognition communique, in Hungarian)

Selected research papers

DMIN 2015 - Scalable Mining of Frequent and Significant Sequential Patterns.
Acta Cybernetica - Finding sequential patterns with TF-IDF metrics in health-care databases.
IEEE Journal of Multimodal Interfaces - Blind Guide.
Acta Cybernetica - Survey on privacy preserving data mining techniques in health care databases.
IEEE Cognitive Infocommunications - Real-time traffic sign recognition system.