News / Projects

November 2019

Deep Fakes in real time

Deep Fakes are imitations of pictures and videos that are created using artificial intelligence. In the most common use case, faces are excanged to create the illusion to see another person in a video.  Within the scope of a research project, the TNG Innovation Hacking team investigated Deep Fakes to better understand what is technically feasible. Furthermore, we wanted to explore the limitations of the technology - especially if and with what image quality it is possible to create Deep Fakes in real time.

As a result of our research we actually managed to exchange the face of a person filmed in a real time video stream with the face of another person. Facial expressions and movements of the original person were adopted.

By applying various techniques coming from the area of computer vision and neural networks, faces in the video feed are recognized, transformed and embedded in the video output. The project uses autoencoder networks trained in Keras. They were trained using so called GANs (Generative Adversarial Networks). Aditionally, the developers used different neuronal networks for face recognition and segmentation.

June 2019

AI Size Recommender for Fashion

For a large fashion retailer, TNG developed an application that makes individual size recommendations for web shop customers. The task for the solution was – despite a large number of size ranges and partly low availability – to display to individual customers only those products really likely to fit. To do this, we started with an idea workshop, convinced our client by developing a prototype, and finally rolled out a production solution with measurable success. To create the individual size profiles, we experimented with various machine learning approaches. The final version was then implemented using AWS Lambda and Elasticsearch. 

April 2019

Launch of a Real Time Chat App

To strengthen the contact between customers and pharmacists we supported a wholesale pharmaceutical company in the development of a chat system.

As a "progressive web app", the chat is available without installation and is optimized for mobile devices. We employed cloud services and among many other services a GraphQL interface.

Users' feedback is collected and incorporated into the product, along with improvements and features, in an agile scrum process.

March 2019

Modularization of a Monolithic Legacy Application through New Architecture and UI

We designed and verified a new architecture for a provider in the logistics sector, enabling incremental migration from two monolithic legacy applications to state-of-the-art modules. We supported risk reduction though various proofs of concept – particularly for the seamless integration of a modern React UI into the existing ExtJS application, as well as to verify backend integration mechanisms.

February 2019

Introduction of a Cloud Microservice-Platform

We supported a client in building a microservice platform as part of a worldwide technology program. The platform is based on AWS and Kubernetes, which act as a blueprint for new service development and serve as a means to move the concern towards agile processes and Dev Ops.

The implementation of an automated, cloud-based CI/CD pipeline and templates for service development and deployment processes allow services to be delivered in a quality-controlled as well as cost-efficient way.

January 2019

Payment process improvement

We helped a client meet the challenge of successfully processing all transactions even during periods with especially high order volumes, thus avoiding revenue loss.

To achieve this, we modularized existing code for connecting payment service providers and added two new providers.

The rejuvenated payment process now provides a failover for individual unavailable payment methods, thus delivering the required high availability while at the same time reducing costs.

December 2018

TNG now Atlassian Platinum Solution Partner

In December 2018, having already been Atlassian Expert and Gold Solution Partner, TNG was accredited as an Atlassian Platinum Solution Partner, the highest level of Atlassian Partner. We have been using Atlassian products in our projects for 10 years as Atlassian Partners and can support our clients in all areas of digitalization with Jira, Confluence, Bitbucket etc. From requirements management through agile software development to optimization and automatic reports for Business Intelligence: our team of certified Atlassian experts can help you to reach your goals.

Previous project news can be found in the archive.