KUIL represents a significant advancement in academic exploration. Our facility leverages the transformative power of Extended Reality (XR) technologies, encompassing Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR), to create dynamic and interactive learning environments.
KUIL's XR environment provides a unique learning platform that complements traditional classroom instruction. Students can engage with complex scientific concepts through interactive visualisations and simulations. This immersive approach fosters a deeper understanding and strengthens knowledge retention compared to passive learning methods.
KUIL transcends geographical boundaries, fostering seamless collaboration and communication between regardless of location. Participants can work in collaborative learning exercises and problem-solving activities alongside researchers from around the world. VR/AR technology enables real-time interaction within these virtual environments, promoting geographically dispersed teamwork and knowledge sharing.
Congratulations to our team Adrian Bandy, Eugene Park, Bence Nagy under the supervision of Prof. Vasileios Argyriou and special thanks to Vlad Li and Akos Nagy, for successfully delivering and presenting our CyberASAP project SirenPod, an innovate AI-enabled honeypot. One of the unexpected highlights was that SirenPod and Kingston University were mentioned by the Minister of AI and Intellectual Property #ViscountCamrose during his opening speech, pointing out the importance of cybersecurity and the collaborations between academia and industry.
During the final event at Level 39, Canary Wharf London, we had the opportunity to meet and speak with many investors aiming to move further with our project. A big thanks to Emma Fadlon and the entire Innovate UK team for this opportunity.
KUIL is proud to announce our successful participation in the prestigious CVPR 2024 conference, held from 17 Jun 2024 – 21 Jun 2024 in Seattle, Washington, United States. Our team Demetris Lappas and Vasileios Argyriou, presented a groundbreaking paper titled Dynamic distinction learning: adaptive pseudo anomalies for video anomaly”, which explores pseudo-anomalies dynamic anomaly weighting and a distinction loss function to improve detection accuracy. The conference, known for showcasing the latest research in computer vision and pattern recognition, provided an incredible platform for sharing our work with the global research community.
Participating in CVPR 2024 offered an invaluable opportunity to connect with leading experts and innovators in the field. Our team attended various sessions, workshops, and keynote speeches, gaining insights into the latest trends and future directions in computer vision and AI. The collaborative environment fostered numerous networking opportunities, allowing us to exchange ideas and establish potential collaborations with other research groups and industry partners.
KUIL is pleased to announce the successful completion of a research project in collaboration with Fortinus Global, focusing on enhancing behavioural detection capabilities at Border Force for the Home Office. The project involved comprehensive field visits to various key ports in the UK, including Gatwick Airport, St Pancras International, and Portsmouth Harbour. During these visits, our team worked on innovative solutions and defining technical requirements for behaviour detection using advanced artificial intelligence and computer vision techniques, supported by a variety of sensors.
The main goal of the project was to enhance the security and efficiency of Border Force operations by integrating cutting-edge AI technologies to detect and analyse behavioural patterns. The collaboration brought together expertise from both academia and industry, leveraging Fortinus Global's practical experience and our group's research prowess.
KUIL is excited to announce the kick-off of two InnovateUK projects, ReFibres and Portable-AIFibres, with a combined budget of £3 million. These projects aim to revolutionise the textile recycling industry through the development of an end-to-end system utilising advanced AI, computer vision, and robotics.
ReFibres focuses on creating a comprehensive textile recycling system. Leveraging state-of-the-art AI and computer vision technologies, the system will be capable of handling soft materials with the support of advanced robotics. The goal is to streamline the recycling process, making it more efficient and effective.
Portable-AIFibres aims to develop the world's first portable, plug-and-play recycling system for garments and fabrics. Designed to scan, sort, and segregate tonnes of garment waste each week, this innovative system will address critical inefficiencies in the current garment and fabric recycling processes using cutting-edge AI solutions.
These projects are expected to transform the textile recycling landscape by providing innovative solutions that address the industry's most pressing challenges. The implementation of these systems will not only enhance recycling efficiency but also contribute to reducing the environmental footprint of garment and fabric waste.