about


AI meets Engineering

We go beyond conventional solutions by combining AI with proven engineering methods based on deep understanding of the physical and mathematical context.

Our approach results in great benefits for industrial recognition tasks as well as for improving the user experience of HMI systems.

Areas of expertise

Technology

Besides classical engineering we rely on modern AI and Soft-Computing technologies

Branches

services


Pattern and Image Recognition

Innoworx goes beyond conventional methods by combining deep learning and genetic programming with a deep understanding of the task's physical and mathematical context.

PlateBlurrer license plate recognition and blurring in any footage

Industrial OCR character recognition on curved and reflecting surfaces

Algorithm development and Big Data analytics

Innoworx has developed data analysis systems taking data from thousands of digital signal processors in parallel. While redesingning algorithms resulted in performance gains of magnitudes, we are also happy to squeeze out some additional per cent by code optimizations.

Multi-modal HMI and Speech recognition

We create intuitive multi-modal user interfaces by combining touch displays with speech recognition, gesture recognition, eye tracking, head pose tracking, custom-made controls and sensors. Our goal is to provide a great user experience by applying sensor fusion.

Making Images Accessible to the Blind Proposal for a system that lets users experience images and video footage by audible and haptic stimuli

AdaptiveASR ASR System independent approach for optimizing the voice recognition rate

Prototyping

We quickly bring your ideas to life. Based on our experience of numerous HMI prototypes for the automotive industry we know how to prepare early prototypes for market or user studies.

Biometrics

We have a deep understanding of biometrics algorithms and systems - especially in the area of fingerprint identification. Innoworx is happy to support you in determining and deploying the appropriate system.

references


Ford Motor Company

HMI concepts (Cluster, HUD, ...) and Custom Controls for prototype vehicles and driving simulators

Montaplast

RnD for analysis of deflectrometric images of automotive parts

Advantest Germany

Big Data analysis for protocol aware semiconductor testing

Verigy Germany

Multi-processor software for semiconductor test data reconstruction. Software integration of a 12.8 GHz multiplexer

Thyssen Krupp

Prototype and feasibility study for speech recognition in elevators

Agilent Technologies

Redesign of semiconductor test data reconstruction system, increased performance by multiple magnitudes

Storz Endoskop Produktions GmbH

Flexible multi-lingual voice control for medical devices

GenoLogic GmbH

All-new fingerprint recognition system, motion tracking for intelligent doors

Süss

Voice recognition for quality control of semiconductor wafers

Deutsche Post AG

Integration of voice recognition to a letter sorting system

Mannesmann Dematic Sortec

Voice control for a letter sorting system

Quelle AG

Voice control for returns inspection

Deutsche Bahn AG

Platform independent serverless Java search engine with intelligent fuzzy search for CD catalogs

Storz Endoskope AG

Voice control and HMI for medical devices

EMATEK GmbH

Browser-plugin for interactive CAD graphics (WebCGM)

Itas international GmbH

Text Mining system, automatic data conversion

Aska GmbH

Voice Directed Picking system for logistics of goods

...

contact



© 2020 by Christoph Bültemann • impress