Forensic Exchange – Knowledge Transfer Partnership Project

About this project

Virtual Reality Simulation Systems (VRSS) use games technology to develop virtual reality simulations for teaching and learning in immersive realistic 3D virtual environments.

VRSS provides a range of training packages for; police, fire and safety, security services, rail, education and manufacturing sectors. VRSS’s approach is to work with the client to identify the most appropriate VR platform such as simulation rooms, motion simulations and smart glasses to provide the most cost-effective training solution.

Technology enhancements are paving the way in training where trainees can now practice real-world life into an imaginary environment using virtual reality (VR) and augmented reality (AR). More recently, trends around the integration of Artificial Intelligence (AI) and Machine Learning (ML) with AR and VR are set to disrupt the education market and the future of learning and therefore VRSS are strategically positioning themselves to take full advantage of this opportunity.

University of Staffordshire has been working closely with VRSS for some time exploring innovative and digital training techniques to address their market needs. ML technology is now seen as a requirement to enhance the current VRSS’s product portfolio which cannot be acquired from any commercial sources. Neither is there any known consultancy sources with the leading edge knowledge available in the School of Digital, Technologies and Arts at University of Staffordshire.

This KTP will allow VRSS the time and resources to fully immerse themselves into the acquisition and use of AI/ML technologies in their forensic context to extend their training product capabilities. The project will allow VRSS to align itself to the changing law and order climate to the most recent events and resulting Police requirements. The collaboration and networks that VRSS will be exposed to throughout the project will inevitably allow them to produce the latest in forensic training in the most extreme environments. This KTP is an essential platform for VRSS to acquire the knowledge transfer become a leading-edge supplier in emerging technologies for forensic training.

Prof John Castella and Associate Professor Mohamed Sedky from University of Staffordshire will lead this Knowledge Transfer Partnership (KTP) project. The knowledge and expertise, along with a new innovative culture will be embedded across VRSS by the Associate and the project team who will be accountable for aligning the Artificial Intelligence (AI) and Machine Learning (ML) technology into to the VRSS's core capabilities and its portfolio of products moving forward.

Lead researcher

Professor Mohamed Sedky

Professor Of Cyber-Physical Systems

Mohamed is the lead researcher of Adaptive Video Analytic technologies, and is also the founder of Spectral-360. His current research interests include object recognition, object tracking, object segmentation, and face detection.

Mohamed's profile

Collaborators and funding

In collaboration with the VRSS and the Knowledge Transfer Network

Funding support from the VRSS and UKRI

for Career Prospects

Whatuni Student Choice Awards 2023

for Facilities

Whatuni Student Choice Awards 2023

for Social Inclusion

The Times and The Sunday Times Good University Guide 2023

of Research Impact is ‘Outstanding’ or ‘Very Considerable’

Research Excellence Framework 2021

of Research is “Internationally Excellent” or “World Leading”

Research Excellence Framework 2021

Four Star Rating

QS Star Ratings 2021