DeepLearning based machine vision
We are using modern deep learning to train our system to detect anomalies in any kind of image or video. This enables the detection of anomalies above a certain threshold for purposes of defect classification. Additionally, we combine this with classic machine learning to realize an error prevention system.
This is possible by looking for recurring patterns of early signs of quality deterioration with an added semantic understanding of potential error sources to produce meaningful warning reports.
August 9, 2021: The product proves itself
a complex use case and a first customer
decides to use it
April 30, 2021: The first version is done
June 30, 2020: The team is established
start working together and build a
business out of the technology
February 28, 2017: The basis
technological basis for our
technology by writing his master
thesis on deep learning.
Business Unit: Industry 4.0
Branch: Artificial Intelligence
Contact of the Organization:
Synsor.ai UG (haftungsbeschränkt)