AMBER - enhAnced Mobile BiomEtRics

AMBER is a Marie Skłodowska-Curie Innovative Training Network addressing a range of current issues facing biometric solutions on mobile devices. AMBER will comprise ten integrated Marie Skłodowska-Curie Early Stage Researcher (ESR) projects across five EU universities. The Network has the direct support of seven Industrial Partners.

The aim of the Network is to collate Europe-wide complementary academic and industrial expertise, train and equip the next generation of researchers to define, investigate and implement solutions, and develop solutions and theory to ensure secure, ubiquitous and efficient authentication whilst protecting privacy of citizens.

BIOWIZ - design and construction of a system for recognition of persons (offenders) based on face images captured on photograph or video material

The goal of this project is to build a system for biometric identification of perpetrators
of offences or criminals based on photographs and/or video materials. The biometric part
of the system will consist of integrated modules, including face detection module,
surveillance module, “biometric engines” for face and silhouette recognition, and fusion
module generating biometric profiles. Biometric modules will be integrated with a
database, which will integrate the biometric data with the police records. The system is
thought as an interactive tool and will be operating in various application scenarios,
including face detection, isolation of video frames containing faces, surveillance in video
materials and identification of persons marked on photo and video materials using the
biometric profiles. Modular construction enables for easy supplementing the scenario list
and actualization of biometric techniques. The system will be an indispensable tool for
personal identification tasks.

yieldPlanet - Hotels’ Management Optimizer (HMO) Pricing, Forecasting, Distribution – innovative new generation software for pricing, forecasting and revenue management in hotels

The main objective of the project is to create a prototype of innovative software solution for dynamic pricing & price forecasting for hotel management in Poland & the world Hotel
Management Optimizer (HMO). The effect of the project will be a global product type innovation. The key problem, which will be solved by the project will be helping hotel managers in answering prominent question: what price should I charge for the room today, tomorrow and next days? The planned target solution is an innovative and unique software based on selflearning algorithms for realtime processing large data sets (weather forecasts, hotel systems inputs, reservation engines, OTA (Online Travel Agents such as booking.com) data & historical prices) using neural networks and other sophisticated methods of data processing (eg. random forests, support vector machines). It will help to forecast the behavior of prices with high accuracy & be a key tool in supporting decisionmaking and thereby increase revenues and profitability of hotels. The developed product will also allow for the direct management of pricing policies of hotels with the software (publication of price developments in a wide variety of reservation systems).