We envision a safer world, one where the people are able to enjoy life in their own cities without being afraid of potential attacks, robberies, or life-threatening events.
We automatically detect abnormal events by learning a model of normal events from training video.
We automatically detect unattended luggage in public areas using background subtraction, motion tracking and deep learning.
Our face detector is designed to work in real-time, while producing highly accurate face detections.
Our face recognition system can reliably recognize persons from a single photo of each subject.
Our facial expression recognition system ranked 4th in the Facial Expression Recognition Challenge of the WREPL Workshop of ICML 2013.
We automatically analyze the small changes in the light reflected by the face skin while the blood pumped by the heart inflates the small vessels under the skin.
Our pedestrian detection and tracking system is based on fast convolutional neural network components that deliver real-time processing.
Our car detection and tracking system is based on fast convolutional neural network components that deliver real-time processing.
Radu is Professor at the University of Bucharest, Romania. In 2013, he completed his PhD at the University of Bucharest. In 2014, Radu received the Award for Outstanding Doctoral Research in Computer Science from the Ad Astra Association. His research interests include machine learning, computer vision and text mining. He published over 80 scientific articles and a research monograph with Springer.
Bogdan is Associate Professor at the University of Bucharest, Romania. In 2013, he received his PhD degree ETH Zurich. Since 2014 he joined University of Bucharest, where he teaches lectures on computer programming, artificial intelligence and computer vision. His research interest include machine learning and pattern recognition in computer vision.
Marius is Associate Professor at the University of Bucharest, Department of Computer Science. He defended his PhD in 2004 with the thesis ”Machine Learning Applied in Natural Language Processing”. His domains of interest are: artificial intelligence, machine learning, computational linguistics, information retrieval, authorship identification, computer vision.
Adrian graduated from the Faculty of Mathematics and Computer Science of the University of Bucharest in 2019. He is passionate about artificial intelligence and he strives to design machine learning systems with a major impact in this field.
Iuliana graduated from the Faculty of Mathematics and Computer Science of the University of Bucharest in 2017. She completed her graduation thesis on facial expression recognition. Her domains of interest are: artificial intelligence, machine learning and computer vision.
Georgian graduated from the Faculty of Mathematics and Computer Science of the University of Pitesti in 2019. He has received the bachelor degree in computer science with the thesis on "Visual recognition using deep neural networks: hand gesture recognition for volume control". The main area of his interest is artificial intelligence, in particular machine learning, neural networks and deep learning.
Tudor graduated from the Faculty of Mathematics and Computer Science of the University of Bucharest in 2019. His area of research include artificial intelligence, computer vision and audio signals.
Andi is the quiet guy in our team. He likes to take action as soon as this is required, and he prefers to let the facts speak by themselves. Andi loves to find and use efficient architectural patterns for designing and building the best software solutions.
Andrei graduated from the Faculty of Mathematics and Computer Science of the University of Bucharest in 2020. He is passionate about artificial intelligence and machine learning. His graduation thesis is entitled "Machine learning for self-driving cars" given the fact that his attention is especially directed towards self-driving vehicles.
Adrian is our core sales guy. He has many years of sales experience in the Romanian IT sector. He built strong business relations with big IT companies from Romania. With his experience and skills, Adrian helps us reach the right clients in the shortest possible time.
Andrei is a serial entrepreneur and co-founder of several Romanian start-up companies. He likes to tear things apart in order to see how they work and reassemble them back together. He can envision the final product right from the start and he is relentless in constructing and delivering the best product, according to his vision.
Valeriu is a serial entrepreneur and co-founder of several Romanian start-up companies. His aim is to build products that solve real-world problems. He loves being around people and working with people. He is the key person dealing with public relations at SecurifAI.
The SecurifAI Video Surveillance Systems are designed and prototyped by our Research and Development Team. Our team is formed of three senior researchers with several years of experience in Artificial Intelligence and Computer Vision, and five researchers and engineers. Our team has a proven record of publications that demonstrate the novelty as well as the highly accurate results of our systems:
Safe City & Enviroment, Public Transport, Health & Safety, On the Shelf Products, Retail Analytics, Integrated Security Services
Bringing AI from labs to production enviroments requires trustable techonology partners that ease transition and ensure enclosure of client's sensitive information plus that it's great to have a testbed for our "from the future" technologies. Who wouldn't want a independent third party organization, to list their products and show-case them for potential customers in a transparent manner? Microsoft, Orange & Orange FAB are our ideal partner also in terms of passion about testing and finding a way for that promissing AI paper research to reach real-life applications. A product alone is less apealling than an established suite in the market; we take those platforms to the next level, enriching their capabilities by orders of magnitude with our AI state-of-art systems.
Oil&Gas Health, Safety, Security & Equipment
Expansion of Oil&Gas construction sites do require close monitoring and very strict work-safe measures in order to avoid incidents. The challenge was to deliver a solution without human presence on-site, whose real-time alerts would enforce a strict policy in terms of safety-gear/equipment; monitoring was done at a significant range (35meters) thanks to high quality 4k cameras.
PoC - Work enviroment monitoring with liveliness
Who ever thought that monitoring wild animals that happen to "illegally" tresspass the zoo-garden border, would increase wellbeing of those kept inside.
Liveliness & Face Identification & Face Recognition can be both extra-measures to protect sensitive data, instead of intrusive means of a general system for monitoring someoanes worklife. In this manner, we are helping companies to monitor workplace enviroment and ensuring also their customers with highly secured procedures on how they process information. eID is the new trend in human virtual interaction between Public Administration, Financial/Banking or other enterprises that want to grant acces to very sensitive informations for their owners.
Building evacuation maneuvres designed to ensure a safe procedure, with guaranties for the total number of people that have crossed the gates, are based on our state-of-art AI system that works in real-time and was tested in crowded locations. We can now count with a confidence higher than 98% all the individuals that enter or exit certain access points.
First Smart-City Implementation in Romania
Enabling the cameras with Smart-AI and accessing a centralized dashboard to monitor only those relevant alerts, was a tremendous advance in efficiency and even more, useful insights about traffic statistics were obtained which will be used in the future to better plan for mobility efficiency.
Railway monitoring - HSSE real-time alerts & analytics
Railway are highly predictable in terms of transportation and risk of accidents; still, keeping thief away of slow cargo movements and guarding bariers from hazardous tresspassing or signaling of wild animals on tracks are conditions for a free incidents transport, which we would like to attain via our AI real-time alerts.