With more than 100 years of combined research experience in the field of Machine Learning and Artificial Intelligence, we have some of the best solutions in the world, like Apparent Age Estimation System, Facial Recognition System, Facial Landmarks Detection System and state of the art Cross-Model Person Re-Identification System.
Detect more crime by managing images from CCTV, social media and other recording devices with Capture. Ensure that when a “mug shot” is taken or a suspect is found on an image, a search is made for the offender against all images held by your law enforcement agency. This system will make the use of images to solve crimes as systematic as the use of fingerprints and DNA. Download Product Brochure
Inspect the content of a video tape, whether CCTV footage, doorbell camera, or body worn device, more efficiently with the help of the video summarisation capability of Curator. Download Product Brochure
Prevent a terrorist attack, apprehend a suspect, raise alarm against a habitual offender, or find a missing person. Protector is a state-of-the-art person search system that can detect individuals in a live/offline video, match them to a watch list, and alert the user, in case of hits. Its ability to work with low resolution faces, and/or verbally described appearance is unique. The system ensures that people not on the watchlist are invisible in compliance with the privacy laws. Download Product Brochure
VisMePas can be used anywhere there is a need to confirm identity or entitlement and share data safely. Download Product Brochure
We have some of the best solutions in the world, like Facial Recognition System, Facial Landmarks Detection System, Human Age Estimation System and state of the art Person Re-Identification System.
Our solution is a fully automated age estimation system. The backbone of our system is a deep neural network which produces state-of-the-art results on several benchmarks. The system performs best with front-facing shots and is more accurate than existing systems such as Amazon, IBM, Microsoft. Read More..
Our face recognition system is the state of the art piece of technology which can detect all the faces in the live/offline video feed and compute unique facial features for each one of them. We also maintain different watch lists and can accurately match each person's identity. Read More..
This product presents an advanced tracker continuously tracking arbitrary objects in videos. Given the bounding box of any object in any video our artificially intelligent algorithm will track that object through the rest of the video. Read More..
Our solution is able to detect human faces, track facial key points (eye corner, nose tip, mouth corner etc.) and reconstruct 3D face shapes in real time. This technology has many practical applications in security systems, digital entertainment, human-computer interaction, augmented reality and virtual reality. Read More..
Given a picture of a person, the aim of Person Re-ID is to identify the same person across different cameras. Often done with images and videos, this product also uses natural language description of a person to spot the person of interest more reliably. This can be helpful in many security applications such as identifying a criminal from a witness description. Read More..
Our product accurately detects 68 landmaks on human face. This product is building block of many interesting products in the field of biometrics and and computer animations.
Josef is co-founder of Sensus Futuris and the Fellow of the Royal Academy of Engineering (FREng). He is also Distinguished Professor at University of Surrey. He founded Centre for Vision, Speech and Signal Processing (CVSSP) in 1986 at University of Surrey and served as President of the International Association for Pattern Recognition during 1994-1996. He is Series Editor of Springer Lecture Notes in Computer Science.
Muhammad is a co-founder and CSO of Sensus Futuris and an Associate Professor at the Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey. He works on cutting edge facial analysis algorithms and co-supervises PhD students and early career research fellows. He was also co-founder of CerebrAI, an AI start-up focusing on online smart retail. He won a grant from Ignite National Technology Fund Pakistan of $300,000 for CerebrAI to do R&D on "Deep Learning for Smart Retail".
Dr Galambos gained his BEng in Information Systems Engineering in 1994 and his PhD degree in 2000, both at the University of Surrey. He is a widely experienced engineer who has taken world-leading products from the research phase, through design and development to deployment. With a background in computer vision, he has been working with data and solving problems using machine learning techniques for over 25 years. His experience in artificial intelligence covers many diverse approaches, from symbolic planning, expert systems as well as the latest deep learning neural network techniques and has implemented many from the ground up.
Before joining Sensus Futuris, he was the Director of Software and AI at STL Tech Ltd where he was the product software design authority. From 2013 to 2020 he was the CTO of React AI responsible for the design of a deep learning architecture for event recognition and the development of customised algorithms for implementation on an FPGA. He also designed and created an AI system for dealing with inhomogeneous data. From 2002-2013 he was the Founder and CTO at OmniPerception Ltd where he built and managed a world leading computer vision research and development team. He created Magellan, a world-leading object detection technology for brand analysis in video which was deployed around the world. He also conceived and developed a leading infrared face recognition technology used in casinos, banks and airports.
Felix has experience working with a wide range of innovative technology companies and global enterprise technology consulting. Before joining Sensus Futuris as Managing Director in July 2022, Felix focused on early-stage technology innovation and commercialisation, in particular deep technology. In his current role at Sensus Futuris, Felix brings invaluable product development, commercialisation, and consulting experience to Sensus Futuris
Before joining Sensus Futuris, Felix was Head of IT at London Logistics start-up with responsibility of the company's IT infrastructure and technology consulting. Prior to this Felix was a Senior Manager at Accenture, a professional services company which specialises in global information technology services and consulting. Felix was a senior leader in Accenture's award winning Global ServiceNow business group. Felix started his career as a European indirect tax consultant, during which he created three state-of-the-art automation solutions for multinational insurance companies to calculate and settle taxes throughout Europe.
PhD from the CVSSP 2011-2015 with expertise in Deep Learning, Machine Learning, Computer Vision, Artificial Intelligence, Biometric, unsupervised learning, generative models, software development, embedded system, edge computing, entrepreneurship, accounting and finance.
Dr Chi Ho Chan is working on Face Identification and Verification. He has more than 15 years experience in Machine Learning and AI.
15 years experience in full-stack software development. Transforming cutting edge Machine Learning algorithms in to real-world software applications.
Sensus Futuris Limited is a specialised Artificial Intelligence (AI) company, focusing on advanced image and video analytics - for a wide range of solutions in Security, Law Enforcement, Retail and other applications where the automatic detection and understanding of visual data is mission critical.
Sensus Futuris is a spinout from the University of Surrey's world famous Centre for Vision Speech and Signal Processing (CVSSP), recognised globally for its major contributions to this field for more than 35 years.
The company’s core technologies have been built upon that long-standing research base, most recently reinforced by a 5 year research programme specifically aimed at the development of ground-breaking image analysis technology to power new more effective solutions to image understanding in the area of low-light, low-contrast and poor image quality and specificity.
This most recent R&D programme was funded by the Engineering and Physical Sciences Research Council (EPSRC) and has included the participation of the Home Office, the London Metropolitan Police Service and other key interested parties. The resulting uniquely powerful AI technology is now being made available commercially - as robust real-world solutions ready to install at customers' premises, or be delivered remotely as a bureau service.
Sensus FuturisThe Surrey Technology Centre,40 Occam Road,The Surrey Research ParkGuildford, Surrey, GU2 7YG
+44 (0) 1483 685095