Vision Semantics was founded by Professor Sean Gong, Bob Koger, and Adam Daykin and spun out from Queen Mary, University of London. The objective was to a build a world class software company based on Prof Sean Gong’s research. Since 2014, Vision Semantics has developed a commercial platform for rapid video forensic analysis which is licensed to commercial partners.
Sean Gong is Co-Founder, CTO and the Chief Scientist at Vision Semantics Ltd
He is a world-authority on Person Re-Identification research and technology deployment for law enforcement video forensic analytics. He is a pioneer in computer vision and machine learning for visual surveillance. He served on the Steering Panel of the UK Government Chief Scientific Adviser's Science Review.
He has published over 300 research papers in computer vision and machine learning. He has authored and edited 7 books on Person Re-Identification, Visual Analysis of Behaviour, Video Analytics for Business Intelligence, Dynamic Vision from Images to Face Recognition, Analysis and Modelling of Faces and Gestures. His recent work includes Transfer Learning, Unsupervised and Semi-Supervised Deep Learning, Imbalanced Data Deep Learning, Deep Reinforcement Learning, Attention and Memory in Deep Learning, Zero-Shot Learning, and Human-In-The-Loop Active Learning.
He was a research fellow on the EU ESPRIT-II project VIEWS (Visual Interpretation and Evaluation of Wide-area Scenes) in 1989-1993, the world’s first multinational collaborative computer vision project on visual surveillance in urban environments. He led the EU FP7 Security Programme SAMURAI (Suspicious and Abnormal Behaviour Monitoring Using a Network of Cameras for Situation Awareness Enhancement) that pioneered Person Re-Identification (Re-ID) for public transport infrastructure protection in 2008-2011. Between 2009-2013, he led the UK government project on developing a system for Multi-Camera Tracking of Objects by Re-ID under the INSTINCT Programme, in collaboration with the BAE Systems.
He founded the Queen Mary Computer Vision Laboratory in 1993. He has been the Professor of Visual Computation at Queen Mary University of London since 2001. He is a Fellow of IEE (now IET), a Fellow of the British Computer Society, and a Member of the UK Computing Research Committee. He has been a Turing Fellow of the Alan Turing Institute of Data Science and Artificial Intelligence, and was a Royal Society Research Fellow. He received the D.Phil. degree from the Oxford University (Keble College) in 1989, sponsored by GEC Hirst and the Royal Society.
Robert Koger is VP Commercial & Finance at Vision Semantics Ltd.
Co-founder of Vision Semantics, director and company secretary, he gained extensive experience in the CCTV and image processing areas during his career ranging from his early involvement in TV guidance for military systems to image analysis systems in the medical security and public safety fields. He is the founder of several companies involved in the development of computer vision and human recognition technology and former chairman & managing director of Garret Aerospace Australia, a division of Honeywell. He was formerly the chairman of the Australian Aerospace industry Association and held senior positions at Xonics medical systems, Philips Industries Australia and Rolls Royce owned Commonwealth Aircraft Corporation.
An engineer by training (RAAF Academy), he is a graduate of the Australian Institute of Management, former committee member of the Australian Institute of Engineers, Fellow of the Australian Institute of Company Directors (FIACD), member of the UK Institute of Directors (IOD), member of the Institute of Electronics & Technology (MIET) and sits on the IET Accreditation Panel. He is a visiting fellow to Queen Mary University of London.
Adam Daykin has been a Non-Executive Director of Vision Semantic Ltd. since company formation.
Adam is currently the Head of Technology Transfer (Technology and Engineering) at Queen Mary Innovation (QMI) Ltd, the Technology Transfer Office of Queen Mary, University of London. He has over 20 years’ experience of technology commercialization and was part of the founding team that established Vision Semantics Ltd in 2007.
During his time at Queen Mary Innovation Adam and his team have formed 15 spin-out companies with a focus on software technology. He has been a Non-Executive Director of nine of these companies and currently the active portfolio has a value of >£150m.
Adam obtained a PhD from Liverpool University in 1990. He moved from research to QinetiQ, the defense, aerospace and security company, in 1996 where he worked first as a Project Manager and then as a Business Group Manager. In 2002 he moved to Weston
John O’Donohue – Exec Chairman & CEO at Vision Semantics Ltd
John has over 20 years’ experience in scaling start-up company software innovation and linking it to corporate partners to create new businesses. Running Motorola Ventures in Europe, he invested in 15 companies and enabled Motorola to exploit the technology and get strategy& financial returns.
John was CEO of PowerOasis and grew the business to become the leading distributed energy software platform with global partners. John has led the company through three rounds of growth equity financing and to exit in summer 2018.
In 2003, he established Motorola Ventures International, the $500 million venture capital arm of Motorola. As Managing Director, John invested in 15 of Europe’s leading venture companies. He balanced both the strategic equity and the commercial/R&D relationships with the portfolio companies. He was a member of Motorola’s Equity Investment Board, responsible for all Motorola’s global minority equity investments.
Bruce Tuch is the VP of Engineering at Vision Semantics Ltd.
A “technical leader & innovator” of the first high speed wireless Local Area Network Product introduced in 1991 and a founder and contributor of the IEEE 802.11 standards group; the engine of broadband Wi-Fi technology. He is an industry leader and trendsetter who helped shape the wireless industry direction.
Bruce’s previous roles have been:
VP of Development at PowerOasis, leading & disruptive renewable energy and power management solution development. Including wireless base stations, Solar Power Drones and solar powered cold chain.
Director of Engineering and Business Development at Filtronic plc a leading wireless radio backhaul supplier.
Our values about data & individual privacy
Vision Semantics Systems are designed to protect individual data privacy, our systems never store any personal data and do not require large data training sets. The goal has always been to eliminate the perceived trade-offs between privacy and real-world solutions. To do so, we treat privacy as a first-order concern at every stage of workflow process, we search for data matches, but we never see the data or store the data.
Decisions that can affect individuals' rights to freedom and public safety cannot be left solely to AI computers. Our partners & customers are using vision data analytics to inform decisions with significant implications for individuals. Rather than relying on AI algorithms that inhibit accountability, we always build ‘humans in the loop’ to make necessary judgment calls based on their context and experience.
At Vision Semantics, we build software platforms that help our customers integrate and analyse their own visual data in ways that are consistent with legal and ethical considerations. As a company, we do not collect data, sell data, or facilitate unauthorized sharing of data among customers or any other parties.
Our vision that AI can build a better world
Our team is dedicated to working on technology solutions that deliver a better world and doing what's right, in addition to being deeply passionate about building great software and an exciting company to work in.
We have an open culture with critical debate around the implications of AI technology. This ensures that we remain true to our beliefs, even as the markets and countries where we partner evolve.
At Vision Semantics, we believe technology can enable advancement of the quality of life, helping with the challenges in climate change, medical research and better public safety. We also believe AI applications should remain under meaningful human control and used for socially beneficial purposes. We believe research should be shared and the benefits of technology should be distributed so it benefits society as a whole.