Customer cases

TetraPak - Creating image analysing software

TetraPak provides processing and packaging solutions for food. They make machines that create and fill cartons for their customers, and their machines can create approximately 10 cartons per second. However, sometimes small defects can appear at the cartons, and if a defect goes on unnoticed potentially thousands of cartons can have been produced with defects, before the problem gets corrected. TetraPak wished to identify the defect cartons as quickly as possible, so they needed a system that could captures images of every single carton that goes through a production line. Furthermore, they needed a software, that could analyze these images in real time and give a warning when defects start to happen. Bytes & Brains where hired to firstly explore how the software best could be developed by researching different methods and algorithms. Secondly, develop the software for image analysis and thirdly, equip the in-house developers to take over the project afterwards. Bytes & Brains solved the task and stayed in touch after ended contract, to support the in-house developers.

Novo Nordisk - Optimizing software

Novo Nordisk is a Danish founded, global healthcare company with more than 95 years experience in working with diabetes care. The company makes medicin, and as they have an innovative approach, it requires some trial and error when working with the chemicals to find out which ratio gives the best yield. The work is often done by scientists making educated guesses about the ratio of chemical ingredients, but Novo also uses software to support the scientists in their work. However, at the time the software did not have all the features that was needed for the scientists to do the best job possible, so Novo wished to optimize it. Bytes & Brains where hired to help adding new features to the software. The work was done in close collaboration with Novo, to meet their specific needs of which features that needed to be made or improved. The proces is ongoing and Bytes & Brains are still helping Novo improve their software whenever needed.

Frederiksberg Hospital

Frederiksberg Hospital is a public hospital in the Capital Region of Denmark. The hospital needed to be able to analyse a new types of MRI sequences. They already had a script, but it was time consuming and were only able to look at a small part of a image. Using theis script meant that it would take several months for two PhD students to analyse a full data set. Frederiksberg Hospital knew it was possible to implement a faster version of the script and that some of the manual processes needed to be automated. So they hired Bytes & Brains to help. With extensive knowledge within research in medical imaging and medical image processing, the Bytes & Brians consultants quickly understood the problem, and where able to implement a solution based on a open source technology. With this new application the PhD students were able to process their entire data set automatically and only focus on analysing the results. And since they were able to analyse the entire image they could inspect other parts of the images as well, which meant that they discovered a previously unknown phenomenon that the original inventors of the new sequences were unaware of.

OUH (Odense Universitetshospital) - developing custom build software

TAs part of a nation-wide screening project about calcifications of the large arteries, the research team at OUH needed a custom built software to visually identify and measure calcifications found in CT scans. At the time, OUH were using a software from Siemens designed for detecting coronary (heart) artery calcifications. They wanted a similar user interface and to use the same algorithm for calculating the calcification volume. Because of technical know-how and experience in working with medical staff, Bytes & Brains were hired to develop the new software. At first a prototype was build to get user feedback from the medical staff at OUH. Through continuous feedback loop regarding functionality and interface, it was possible to develop a thorough testing plan to verify the correctness of the calculations, and to integrate the solution in the OUH internal network. During the project GDPR was introduced so the software also had to be made GDPR compliant. The result was a fully working independent solution, that can be completely maintained by OUH. The software is used by MDs and other medical staff daily and contributes to Danish health science research.

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