DeepEyes Team 2017-12-03T10:38:46+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 use external neural networks, 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. Our technology does not require external neural networks or grid computing but exclusively relies on highly sophisticated, smart algorithms. These represent a new generation of video analytics-based artificial intelligence; they deliver quick 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 Photonics Sensors.

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 sensors (sensor-based Vibro-Acoustics as well as sensors based on Radio Photonics) and Artificial Intelligence (A.I.).

Possible use cases are

  • 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.


Identify emotions in a one-on-one setting

Individual Emotion Recognition

Compares facial expressions with answers given orally. “Lie Detection”
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Identify a person against a watchlist or database

Face/Person Recognition

Works with privacy secure pixels as well as statistical information.
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Identify emotions like surprise, indifference or joy

General Emotion Recognition

Works with privacy secure pixels as well as statistical information.
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Recognize patterns and outliers in crowds

Crowd Pattern Recognition

Early indicates threats in crowds with standard surveillance cameras.
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Translate precise body movements to a screen

Gesture/Body Recognition

Tracks precise body movements with standard hardware and a HD camera.
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Management Team

Sergey Sherbakov
Sergey SherbakovCEO
In his role at Deep-Eyes 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.
Vadim Danshin
Vadim DanshinCTO
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.
Jan Wansink
Jan WansinkCRO
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. Jan is based in the Netherlands and in Germany.
Eva Lang
Eva LangCOO
Eva designs, implements and oversees operations at DeepEyes. A generalist with more than 20 years experience on 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.
Eva is based in Germany.

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