Welcome to Natural Vision

Natural Vision
  • Unique AI solutions

  • Deep learning

  • Computer vision

  • Embedded systems

  • since 2014

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Natural Vision showed me how to quickly apply their technology to a whole bunch of image-recognition problems we had at Jetpac, and produce much better results than our conventional methods.
Pete Warden, CTO of JetPac Inc

Our Work

Some of the things we've built

AI for low-power IoT devices

Together with Lōtik, we created an intelligent low-power wireless sensor that clamps onto pipes and uses on-device signal processing and neural networks to detect water flow and leaks.

State of the art medical image analysis

In collaboration with our medical technology clients we implemented a number of deep-learning based medical image analysis applications for ultrasound and MRI.

Our solutions achieve human-level accuracy at real-time speed on commodity hardware. For one client, this meant that ultrasound intelligence that was so far slow and only available on high-end devices, can now be deployed on consumer smartphones, and with unprecedented precision and interaction.

Image recognition in millions of photos

We helped Jetpac, a company that used artificial intelligence to build city guides, implement a deep learning-based computer vision system that finds dogs among other curious things inside millions of Instagram photos. Jetpac used information extracted from images to automatically categorize locations.

Jetpac has since been acquired by Google.

Using deep learning to listen for whales

We worked with researchers from Oregon State University on improving software algorithms for detection and classification of marine mammals in underwater recordings. Our solution is not only more accurate than conventional methods used, it's also much faster, processing years of audio recordings in a matter of hours.
→ read more

Species identification through photos

Together with the Museum für Naturkunde in Berlin, we've developed the PhotoID app that can automatically identify hundreds of animal and plant species based on photos.

An interview on ARTE FutureMag demos an early version (French, German).
→ read more

I must say, I am impressed.
Wolfgang Thomas, nature enthusiast, about PhotoID

Contact us

E-mail:

hello@naturalvision.de

Address:

Natural Vision
Krausenstraße 8
10117 Berlin, Germany

VAT identification number:

DE294625642

Handelsregisternummer:

HRB 156761