Deep neural network method for improve the accuracy of tracking and classification of vehicles registration plates (DziNTA)

Operational programme "Growth and employment". Activity 1.2.1.1 "Support for new products and technologies within the competence centres" of the Specific Aide Objective 1.2.1 "Promote investments of private sector in R&D"

project No. 1.2.1.1/16/A/007 “Information and Communication Technology Competence Center”

research

"Deep neural network method for improve the accuracy of tracking and classification of vehicles registration plates." (DziNTA)

Project No. 1.2.1.1/16/A/007 proposer: LTD „IT kompetences centrs”

Project Research DziNTA proposer: LTD „ PricewaterhouseCoopers Information Technology Services”

Cooperation partner: Institute of Electronics and Computer Science (EDI)

EDI research part scientific manager: Mihails Broitmans

EDI research part place of implementation: Institute of Electronics and Computer Science

EDI research part duration time: 01.09.2016. - 31.12.2018.

Project and research is financed by European Union