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 Associate 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 50 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.
Sorina graduated from the Faculty of Mathematics and Computer Science of the University of Bucharest in 2016 and is currently a Master of Science student at the same University. She completed her graduation thesis on image processing and, besides this area, she is interested in computer vision and machine learning.
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.
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 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.
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.
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 two bright junior researchers. Our team has a proven record of publications that demonstrate the novelty as well as the highly accurate results of our systems: