You can enjoy the view of the beautiful Bottighofen at Lake Constance, but you can also define it. Due to our promotion of training, we are constantly offering bachelor and master theses on modern subjects. This results, among other things, in prototypes, which we can build as a basis for further innovation projects with our customers.
Investment promotes innovation - we are aware of this and therefore it's important for us to continuously promote and train our employees. Flexible working hours, a very good infrastructure, modern working tools and, last but not least, a positive and communicative work environment help to grow together and look beyond the boundaries of the market.
The following section ›Innovation Lab‹, with short essays and exposés of former projects, provides a brief insight into the work that has been done so far.
Data volumes explode for different and entirely individual reasons. Storage of sensor data, consolidation of systems and long-term data storage are just a few examples. However, what all have in common is the challenge of processing. With Cloud Bigtable, BigQuery and Cloud Dataflow, the Google Cloud Platform (GCP) provides comprehensive and high-performance technologies for processing BigData. In the concrete example, a solution for catalog integration was created, which makes it possible to compare products and prices across providers. In addition, historical data are kept and taken into account so that a product and supplier-related price development can be comprehended.
Whether or not IoT is interpreted as a different name for machine-to-machine (M2M) or as its evolution, this area will continue its triumphal advance and become established in the near future. After BMT had already gained experience with various vendors, the study focused on the advantages, possibilities and prerequisites for the use of the SAP HANA Cloud Platform and to use this platform for the implementation of an IoT scenario. The IoT and device management part of the platform, as well as the mobility and predictive analytics technologies are used here.
Neural networks and intelligent machines are among the current and ever-growing megatrends. How to use already existing and open solutions to adapt them and apply them to specific requirements was investigated in the "Machine Learning - Google Vision API" innovation project. Objects are detected using the Google Vision API and are compared with a previously defined data base. Applications for the use of this technology are just as versatile as exciting. It would be possible, among other things, to order spare parts orders, which are triggered by a photo. Neither the technician nor the customer need to take care of the product number or description because the correct object can be classified, assigned and ordered via the Vision API.
Logistics processes often have the potential to streamline, speed up and improve. In cooperation with an industrial company and an international logistics service provider, a proof-of-concept with a running prototype was implemented. The focus of the solution lies on the "hands-free" work. Augmented Reality glasses provide the user with all relevant and relevant information. This shortens the process and overall throughput time and increases the quality of the work. The result of the work is a feasibility study with a running prototype and insightful knowledge of the technology.
The digitization of maintenance is a further area where the possibilities of "digitally expanded reality" have been researched and integrated into a solution. The scope of functions here is from the data and information exchange with a back-end system (data on the order such as technical space, equipment, material, date etc.) via the guided maintenance, which can be requested via remote video session support, up to navigation And planning the route.