Comprehensive and reliable information is indispensable as a foundation for decisions in all industries and economic sectors. A wide range of sectors, uses images of any kind as a comprehensive source for information. Thus automatic extraction of information is indispensable for more and more industries and economic sectors in order to find ‘the right one’ out of the multitude of available information. Each industry has very specific needs and methods to exploit the data. And even within the same industry there are always different issues under which information should be obtained.
With our information factories, you can find the answers to exactly the questions that are essential to you at the moment.
We design Information Factories that can work with data from a wide variety of sesnsors. They evaluate the images of drones an mobile surveying equipment as well as setellite imagery, aerial photographs or images from digital cameras, action cams or even microscopes.
We are in a position to provide solutions for various sectors.
Answering analytical questions on individual components of a grain mixture based on photos from a digital camera.
Smart farming through automated analysis of drone images to get detailed information about individual field sections.
Automatic detection of tree species and changes within the foerst based on satellite und LiDAR-Data.
Read more on our Forest Portal.
Interactive application to determine canopy density of a forest area out of photos in just three steps.
More on our Forest Portal
Our tool for systematically collecting and analyzing building conditions or damage is based on the automated analysis of drone data.
With Tama Group methodology, you can create a city signature focusing on the classification of various characteristics up to moving or stationary cars out of LiDAR data.
Automated analysis of mobile mapping Data for extraction of road signs and anonymization of license plates.
Condition detection of buildings and structures by automated information extraction from drone images.
Detailed extraction of building roofs from LiDAR and RGB data by Tama Group methodology.
Construction progress documentation based on information extraction from drone images.
With this application, traffic signs are not only geometrically and spectrally recognized and classified, but also cataloged with the correct traffic sign number according to StVO.
Tama Group provides a structured methodology to increase the level of automation in city mapping projects.
Mapping of garbage accumulation on the beach by automated analysis of high-resolution satellite data.