About us

Hello, we are ARVRtech,

A company passionate about Augmented and Virtual Reality on a mission to continuously develop smart and innovative technological solutions across different verticals: marketing, retail, education, tourism, art, entertainment. Here at ARVRtech we strive to make the best possible products on foundations of the latest Augmented and Virtual Reality Technologies. Our products range from scientific and commercial projects for international companies and governments, to fun and interactive games and presentations for some of the world's most renowned brands and marketing agencies. As the technology we use develops and improves, so do we, therefore we are always introducing new and interactive solutions for our clients. We have assembled an outstanding team and continue to create, enhance and implement our solutions for our loyal customers and end-users.

Our mission is to create outstanding solutions for Augmented and Virtual Reality and to connect people from all around the world with remarkable customised experience, research and innovation.

Our vision is to create year after year the cutting edge Augmented and Virtual Reality solutions, across various industries which will benefit tremendously the business and life of our clients, stakeholders and community.


It' not a metter of being passionate
technology , or about the future



We blur the line between


May 2014 - Sept 2015

The SMARTIE project works on security, privacy and trust for data exchange between IoT devices and consumers of their information. Results are demonstrated in smart cities in Germany, Serbia and Spain. Further partners are from Portugal and the UK.

May 2014 - Sept 2015

CITI-SENSE will develop “citizens’ observatories” to empower citizens to contribute to and participate in environmental governance, to enable them to support and influence community and societal priorities and associated decision making. CITI-SENSE will develop, test, demonstrate and validate  a community-based environmental monitoring and information system using innovative and novel Earth Observation applications.



Boris Pokrić et al, ”Engaging Citizen Communities in Smart Cities Using IoT, Serious Gaming and Fast Markerless Augmented Reality”, IEEE 10th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2015

Boris Pokrić et al, ”Augmented Reality enabled IoT services for environmental monitoring”, Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA), volume: 6, number: 1, pp. 37-55, 2015

Boris Pokrić et al, “ekoNET - Environmental Monitoring Using Low-Cost Sensors for Detecting Gases, Particulate Matter, and Meteorological Parameters”, Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2014, IEEE, pp 421 – 426

Boris Pokrić, Srđan Krčo, Maja Pokrić, „Augmented Reality based Smart City Services using Secure IoT Infrastructure“, Pervasive Internet of Things and Smart Cities (PITSaC), IEEE Advanced Information Networking andApplications (AINA), 2014

Boris Pokric, ‘Integrated marketing and ticket and voucher selling using mTicketing and Augmented Reality concept’, Patent Application 2012/0027, Serbian Intellectual Property Office, 2012

Nigel W. John, Neil Thacker, Maja Pokriċ et al., ‘An Integrated Simulator for Surgery of the Petrous Bone’, In J.D. Westwood, editor, Medicine Meets Virtual Reality 2001, Amsterdam, The Netherlands, Jan. 2001

Culibrk, D.,Mirkovic, M,Zlokolica Vladimir,Pokric Maja,Kukolj Dragan, ‘Salient Motion Features for Video Quality Assessment’, IEEE Transactions on Image Processing, Vol. 20, pp. 948-958, 2011Kukolj Dragan,Pokric Maja,Zlokolica Vladimir,Filipovic Jovana,Temerinac Miodrag, ‘, No-Reference Video Quality Assessment Design Framework Based on Modular Neural Networks, Artificial Neural Networks – ICANN 2010, Vol. 6352, pp. 569 - 574Culibrk Dubravko,Kukolj Dragan,Pokric Maja,Zlokolica Vladimir, ‘Feature Selection for Neural-Network Based No-Reference Video Quality Assessment’, 19th International Conference on Artificial Neural Networks, ICANN 2009, Vol5769/2009

Pokric et al., ‘Laser Based Inspection and Path Correction for Automatic Sewing Apparatus’, Laser Metrology & Machine Performance III, Transaction: Engineering Sciences  ISSN: 1743-3533; ISBN: 1-85312-536-9, Edited By: D.G. FORD, University of Huddersfield,  volume 16, Pages: 568, 1997

Pokric et al., ‘A double area detector system for simultaneous small and wide-angle X-ray scattering’, Nuclear Instruments and Methods in Physics Research Section A, Vol 477,  pp. 329-334, 2002N. M. Allinson, B. Pokric et al., ‘Unique double area detector system for simultaneous small and wide angle x-ray diffraction studies’, Proceedings of SPIE Vol. 4507, The International Symposium on Optical Science and Technology, 2001Pokric et al., ‘A Double Area Detector System for Simultaneous Small and Wide Angle x-ray Scattering’, 5th International Conference on Position-Sensitive Detectors, University College London, September 1999E.T.Bergstrom, D.M. Goodall, B.Pokric, N.M.Allinson, ‘A Charge Coupled Device Array Detector for Single-Wavelength and Multiwavelength Ultraviolet Absorbance in Capillary Electrophoresis’, Analytical Chemistry, 71, pp.4376-4384, 1999 E.T.Bergstrom, D.M.Goodall, B.Pokric, N.M.Allinson, P.C.Navarro, M.R.Duffin, M.S.Lant ‘Application of CCD based UV Absorbance Detection to CE Analysis of Paraquat and Related Species’, Analytical Chemistry, 1999 Pokriċ M. et al., ‘Development of large-area CCD-based x-ray detector for macromolecular crystallography’, SPIE Proceedings, Detectors for Crystallography and Diffraction Studies at Synchrotron Sources, Vol. 3774, pp. 46-57, 1999

N A Thacker, D C Williamson, M Pokriċ, ‘Voxel based analysis of tissue volume for MRI data’, British Journal of Radiology, Volume 77 Pages 114-125, August 2004, ISSN 11445826

Thacker, N. A., Pokriċ, M., Noise Filtering and Testing Illustrated Using a Multi-dimensional Partial Volume Model of MR Data, British Machine Vision Conference (BMVC), 2004.

Pokric Maja,P. A. Bromiley,N. A. Thacker,M. L. J. Scott,A. J. Lacey,T. F. Cootes, ‘Bayesian and Non-Bayesian Probabilistic Models for Medical Image Analysis’, Image and Vision Computing, 21/10 pp 851-864, 2003.

M. Pokriċ, N.A. Thacker, M. L.J. Scott, A. Jackson, ‘The Importance of Partial Voluming in Multi-dimensional Medical Image Segmentation’, pp. 1293-1294, MICCAI 2001

Pokric et al., ‘Integration of macromolecular diffraction data using radial basis function networks’, Journal of Synchrotron Radiation, Vol 7, pp. 386-394, 2000

Pokriċ, M., Bromiley, P.A., Thacker, N.A., and Jackson, A., Probabilistic Multi-Modality Image Segmentation with Partial Voluming, ISMSM 2002, Honolulu, Hawaii, 2002.

Bromiley, P.A, Pokriċ,  M., and Thacker, N.A., Identification of Enhancing MS Lesions in MR Images using Non-Parametric Image Subtraction, MIUA 2002, Portsmouth, 2002

Pokric et al., ‘Dynamic Analysis of Capillary Electrophoresis Data using Real-time Neural Networks’, Journal of Chromatography A, 833, pp. 231-244, 1999

Pokric et al., ‘Dynamic Analysis of Capillary Electrophoresis Data using Real-time Neural Networks’, Highlighted article, Analytical Chemistry, 71 (9), pp. 307, 1999

Pokric et al., ‘Combining Linear Filtering and Radial Basis Function Networks for Accurate Profile Recovery’, IEE Proceedings – Vision, Image and Signal Processing, Vol. 146, No.6, pp.197-305, 1999

Pokric et al., ‘Real-time Analysis of Capillary Electrophoresis Data Using Linear and Non-linear Signal Processing’, 5th International Symposium on Capillary Electrophoresis, York, 1998

Pokric et al., ‘Real-time Neural Networks for Enhanced Sensitivity Capillary Electrophoresis Systems’, HPCE 98, Feb 1998.

Nigel M Allinson and Boris Pokric, ‘Combining Linear and Neural Processing Instruments – or when to switch on your neurons’, Further Developments in Scientific Optical Imaging, The proceedings of the International Conference on Scientific Optical Imaging, Royal Society of Chemistry, ISBN 0-85404-784-0, book chapter, pg. 64-79, 1998

Pokric et al., ‘Neural Networks for Real-time Processing of Fluorescence/Absorbance Capillary Electrophoresis Data’, Scientific Instrument Association 98 conference, London, 1998.

Boris Pokrić et al, “ekoNET - Environmental Monitoring Using Low-Cost Sensors for Detecting Gases, Particulate Matter, and Meteorological Parameters”, Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2014, IEEE, pp 421 – 426

Boris Pokrić et al, “Smart City Services for Environmental Monitoring and Public Transport”, IERC - European Research Cluster on Internet of Things / Success Stories, p65, 2014

Sébastien Ziegler, Cedric Crettaz, Latif Ladid, Srdjan Krco, Boris Pokric, Antonio F. Skarmeta, Antonio Jara, Wolfgang Kastner, Markus Jung, IoT6 – Moving to an IPv6-Based Future IoT, The Future Internet Lecture Notes in Computer Science Volume 7858, 2013, pp 161-172, Spinger Link

M. A. Cooper, B. Pokric et al., Biosensing using rupture event scanning (REVS)™, Measurement Science and Technology, 14 pp. 1888-1893, 2003

Srđan Krčo, Boris Pokrić, Francois Carrez, „'Designing IoT Architecture(s) - A European Perspective“, IEEE World Forum on Internet of Things WF-IoT 2014

PhD Maja Pokrić


Computer vision expert, significant entrepreneurial experience, worked at University of Manchester, VR medical imaging projects, launched several commercial products in the AR/VR domain, several years of experience in IP protection.

PhD Boris Pokrić


AR/VR expert. Worked in Openwave, University of Manchester, worked with Motorola, Samsung, Sagem, IoT partner with Microsoft through DunavNET, 10 years of entrepreneurial experience.

MSc Mirjana Nikolic

Graphics and

Assistant Professor in the Digital Arts and Animation program at USA college, 17+ years of feature animation, worked with Disney Feature Animation, Pixar Studio, Digital Image Movers and PDI/Dremworks.