DeepEyes GmbH, headquartered in Munich, Germany, with an international team of scientists, develops and markets video-based AI error-recognition software for highly regulated industries, such as pharmaceutical manufacturing.
By recognizing and instantly alerting anomalies in the lab, clean room and on the shop floor, DeepEyes dramatically enhances automation and supports operators in repetitive tasks like monitoring production processes and recognizing imminent risks.
DeepEyes offers video-based AI error-recognition solutions to prevent accidents, product loss, downtimes, recalls and reputation loss.
A strong, global network of partners catering to the pharma and FMCG industry ensures that DeepEyes solutions are available worldwide.
DeepEyes solutions operate on premise; they comply with European data and privacy security (GDPR) regulations.
The DeepEyes proprietary algorithm is an artificial intelligence methodology in the true sense of the word: It works with autonomous deductive reasoning and includes both machine learning and deep learning technologies. This makes it unique.
Like any artificial intelligence also the DeepEyes algorithm evolved over time. In the early beginnings of our research, our goal was to find a quick and accurate solution for remotely measuring the human pulse, by using a video cam. We experimented with algorithms we already knew, but always found that they were too slow and returned a large error count. So we came up with the idea to radically change our approach: For accurate real-time results we researched and experimented with various mathematical and statistical models and eventually came up with the optimal combinations which we hard-coded using low-level languages. The outcome was impressive. Our newly developed algorithm produced highly accurate results in real time.
What we are proud of is that the DeepEyes algorithm makes it possible to execute highly complex calculations with low computing power and with unprecedented precision. Also, the technology works independently, without neural networks of any kind. The technology can be used on any small device with a microcontroller.
This represents an invaluable advantage: although the technology can access any data base, neural network, internet data source, it can also work standalone, independently, without internet access. Thus, application possibilities become endless. Artificial intelligence and video recognition will become a technology open for all.