How does image recognition work?
Markerless image recognition – precise assessment of movements
Our markerless image recognition technology enables a precise assessment of movements, misalignments and incorrect postures based on images or videos. Using deep learning methods and a neural network, 33 coordinate points are determined that indicate the position of points on the human body. This allows us to carry out a movement analysis without having to rely on additional markers and thus depict misalignments and incorrect postures.
Easy to use – just one on-device video
In contrast to conventional methods of movement analysis, which require several cameras and optical markers, our technology is easy to use. A precise body analysis can be carried out with just one video from your tablet. This saves time and reduces the effort required for manual evaluations.
Improved accuracy and robustness – deep learning algorithms
Thanks to advances in deep learning algorithms and the availability of large annotated data sets, the accuracy and robustness of image recognition of human movement has improved significantly. Our technology is based on these latest developments and delivers reliable and accurate measurement results.
No additional hardware required – no need for external cameras or markers
As our technology works markerless, no additional hardware such as special cameras or markers is required. Your tablet is all you need. This simplifies everyday use and enables flexible application in different environments.
Reduce time and costs
Simplifying and automating the measurement process and eliminating additional hardware not only saves time, but also reduces costs. Our markerless image recognition technology offers an efficient solution for motion analysis without high investments in expensive equipment or complex setup processes, saving medical experts valuable time that can be used elsewhere.