Cogisen Launches Next Generation of its Image...
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Core
Technology
The Sencogi® library is a patented technology platform derived from neuroscience to provide next-generation image processing
The entire toolchain required for this platform is proprietary Cogisen software created in-house
Technology applications & specs
Technology
applications & specs
- Saliency model for Video compression
- - Encoder option in ffmpeg (X264, HEVC, VP9, AV1)
- - Fast enough for zero-latency compression on smartphones
- - Remains effective at low resolutions and low quality levels
- Gaze tracking
- - No calibration required
- - Cross-platform software-only solution
- - Works at distance up to 3mt
- Detection of Objects (i.e. Pedestrians/Face Detection)
- - Relatively small test and training sets
- - Can be made massively parallel and sparse
- - Works in extreme light conditions
(back-light; low-light; etc.)
Machine learning and image processing
Machine learning
and image processing
Our platform is based on a fundamentally new image processing method. We have proven that the platform improves the input data when used in existing machine learning tools
PRODUCTS PIPELINE
Detection
of Pedestrians
Face
Detection
Gaze
Tracking
Encoder option
in FFMEG
The team
Experts in Programming, Distributed Computing, Vehicle Dynamics, Aerospace, Simulation, Artificial Intelligence and Neuroscience.
Design and development of vehicle dynamics simulations and simulators. Aerospace Engineering. Artificial Intelligence. Design of systems engineering toolbox suites.
Christiaan Erik Rijnders
CEO & Founder
Corporate Finance. Extensive experience in Strategic Advisory. M&A and post merger integration. Business Planning & Budgeting. Organization and Change Management.
Jacopo Passacantilli
COO
Extensive experience in design, development and programming of complex electronic systems, from low level circuits boards to full vehicle networks, from Race Vehicles to America’s Cup Yachts and more.
Damon Millar
Electronics & Design Lead
Experience as lead programmer for development and design for major productions of racing video games (i.e. MotoGP and F1), for all platforms from game consoles to mobile. Physics and mathematics modelling expert. Has created full physics engines for games.
Stephen Brown
Programming Lead
Extensive experience in server-side programming in numerous programming languages. Developed the Cogisen high-performance large-scale distributed computing environment, which is not based on Hadoop.
Wim Rijnders
Distributed Computing Lead
Cognitive psychology. Eye movement research. User-centered design. Embodied cognition. Sum of these competencies is the ability to capture the intent of users from gaze.
Maria Laura Mele
Neuroscience Lead
Edgar L. and Harold H. Buttner Chair of Electrical Engineering and Computer Sciences at the University of California at Berkeley.
Alberto Sangiovanni Vincentelli
Board member & Strategic advisory
Corporate Contracts and Commercial practices. M&A operations. Extensive experience in IPR management.
Chiara Passacantilli
Co-founder
Mauro Odorico
Chairman
Creation of models for the detection, classification and tracking of objects (i.e. faces, pedestrian,etc); 3D scene reconstruction and motion analysis.
Luca Calabria
Computer vision
Deep expertise in design, development and optimisation of video encoders, decoders, analyzers, quality metrics and preprocessing; multiple patent inventor experienced with legal issues surrounding intellectual-property-based business models.
John Funnell
Video Codecs Expert
Christiaan Erik Rijnders
CEO & Founder
Jacopo Passacantilli
COO
Damon Millar
Electronics & Design Lead
Stephen Brown
Programming Lead
Wim Rijnders
Distribuited computing Lead
Maria Laura Mele
Neuroscience Lead
Alberto Sangiovanni Vincentelli
Board Member & Strategic Advisory
Chiara Passacantilli
Co-Founder
Mauro Odorico
Chairman
Luca Calabria
Computer vision
John Funnell
Video codecs expert
NEWS & ACHIEVEMENTS
Certificate delivered by the European Commission, as the institution managing Horizon 2020, the EU Framework Programme for Research and Innovation 2014-2020
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THE SENCOGI PROJECT HAS RECEIVED FUNDING FROM THE EUROPEAN UNION’S HORIZON 2020 RESEARCH AND INNOVATION PROGRAM UNDER GRANT AGREEMENT 710145
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