DeepEyes Team 2018-11-15T16:47:36+00:00

Emotion, Face, Crowd, Object, Behaviour Recognition.

The Next Generation of Video-Based Artificial Intelligence

The Technology in more detail

With unrivaled accuracy and speed the DeepEyes video-based recognition technologies set new standards in artificial vision and make adaptive, self-learning systems accessible to applications and requirements in all lines of business.

We offer disruptive technologies for requirements until now considered out of reach for visual recognition.

What Makes Us Special

As opposed to modern systems of artificial intelligence, which require high computing resources and expensive GPU cards, the DeepEyes technology works autonomously by enabling on-device neural network accelleration. It is not restrained by hardware requirements or computational capabilities of modern processors and video cards. Instead we combine sophisticated mathematical and statistical models and and have developed our own DeepEyes universal algorithm which is based on low-level computing processes. It represent a new generation of video analytics-based artificial intelligence; it delivers quick or real-time results with the highest accuracy.

Our technology does not require neural networks but exclusively relies on smart algorithms

If you would like to speak with our experts, please contact us and we’ll set it up

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We are an international team of data scientists headed by renowned experts in their fields. Our research agenda covers a broad spectrum: Video Analytics Technology, Predictive Technology, Optoelectronics and related areas.

We combine new developments in Computer Vision and Big Data analytics with real-life customer requirements.

Our international sales and marketing organization is based out of Munich, Germany. We are currently active in Germany, the Netherlands and Great Britain but welcome customers from all over the world.

Research and Development

We are constantly developing promising new technologies which are based on our self-learning technologies.

At the moment our research evolves around easy retina recognition. Furthermore, we investigate additional sensors (sensor-based Vibro-Acoustics as well as sensors based on Radio Photonics).

Possible use cases are

  • highest accuracy in biometrics recognition
  • easy quality control of materials and components from the outside
  • real-time analysis of internal volumes and mechanisms
  • Real-time analysis of metal fatigue in planes, buildings, bridges etc.
  • Radar requirements
  • Identifying objects from a far distance
  • Super-compact dimensions

We Thrive On Challenging Projects That Produce Bigger Rewards.

Individual Emotion Recognition

Identify emotions of a particular person

Individual Emotion Recognition

Measures 98 parameters in faces and detects the tiniest movements in faces with a normal video camera.
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Face Authentication

Identify a person against a watchlist or database

Face/Person Recognition

The DeepEyes technology can be used for recognizing specific persons under the most adverse circumstances.
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Object Recognition

Recognize deviations in objects, measure dimensions

Object Recognition

For general assessments, e.g. in customer facing environments general emotions as well as line of sight can be measured.
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Crowd Recogntion

Recognize patterns and outliers in crowds

Crowd Pattern Recognition

Early indicates threats in crowds with standard surveillance cameras.
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Motion Recognition

Identify and track precise body movements

Gesture/Motion Recognition

The technology can recognize and track precise body movements like gestures and gait.
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Management Team

Vadim Danshin
Vadim Danshin
In his role leading product development, Vadim is working to transform Deep- Eyes vision and product plans into compelling product reality. An expert in the field of robotics Vadim specializes in analogue and digital circuit engineering as well as on detectors. Prior to Deep-Eyes Vadim´s main area of interest was in the development of optoelectronic systems. He has launched several successful R&D student companies.
Eva Lang
Eva Lang
Eva designs, implements and oversees operations at DeepEyes. A generalist with more than 20 years experience at the leading edge of hightech and IT she knows how to introduce new technologies to the market and make them successful.
Eva has a high level of experience in coaching and training as well as in team building. She has has been active in marketing and sales executive roles where she defined roadmaps and market direction and forged strategic partnerships with industry leaders.
Sergey Sherbakov
Sergey Sherbakov
Sergey is focused on combining new developments in Biotechnology, Computer Vision and Big Data analytics with real-life customer requirements. A technology evangelist, driven by the desire to combine new technology with best practice Sergey has practical experience in the development of electronic systems, solar energy and energy conservation and a keen interest in analytics, statistics and robotics.
Jan Wansink
Jan Wansink
Jan is responsible for developing, implementing and executing Deep-Eyes´ sales growth strategies across all customer segments, and channels. With an in-depth knowledge in high-tech and IT markets and a huge network across top European brands Jan Wansink is the market entry strategist at Deep-Eyes. Prior to Deep-Eyes Jan worked for several private and public IT companies in business development and strategic positions.

Our technology does not require external neural networks. Instead it enables on-device neural network accelleration.

If you would like to speak with our experts, please contact us and we’ll set it up.

Contact Us