Imaging and Analysis

Customized solutions from intelligent imaging to real-time, AI-based image analysis

Imaging and Analysis

There are many different technologies, which can be used in vehicles, industrial production or consumer researches due to digitization, automation and the demand for increasingly higher resolution image information. Latest can be used for security, inspection and documentation tasks.

Our services in the field of imaging and analysis:

Let yourself be inspired by new technologies and research approaches and make your application fit for the future!

Our services in the field of imaging and analysis

 

CMOS image sensors

 

Design and development of application-specific image sensors, such as:  

  • Multiapertur-image sensors
  • Sensors with special pixel arrangements  
 

Imaging solutions and systems

Special imaging solutions:

  • High spatial and temporal resolution
  • Different modalities, such as polarization or multi-spectral
 

Real-time, anonymized facial and facial
expression analysis

 

Our face detection and analysis software SHORE® forms the basis for many application scenarios in which it is important to get information about moods.

 

Medical Image Analysis

 

  • AI-based algorithms for microscopy
  • Semantic video analysis for endoscopy and surgery
 

Explainable Artificial Intelligence

How can the results arrived at by deep neural networks (DNNs) and the hidden logic they employ be rendered more intelligible and explicable?

In the Explainable AI (EKI) project group, we are developing methods for explainable machine learning in cooperation with Fraunhofer IIS and the University of Bamberg.

Call for Machine Learning Challenge

UbiTtention Cognitive Load Machine Learning Challenge

On behalf of the organizing team we are happy to invite you to the UbiTtention Cognitive Load Machine Learning Challenge!

To prevent undesirable effects of attention grabbing at times when a user is occupied with a difficult task, ubiquitous computing devices should be aware of the user’s cognitive load.

To advance the field of cognitive load inference in ubiquitous  computing, we organize a public machine learning challenge in which competitors have to infer cognitive load from sensor data. The goal of this machine learning challenge is to recognize 2 levels of cognitive load from the sensor data of a wearable wrist-band (Microsoft Band 2). The participants will have to develop a machine-learning pipeline that will process the sensor data, create models and output the recognized cognitive load.

The best three teams will also receive prizes!

Results will be presented at UbiTtention 2020, a workshop to be held in conjunction with UbiComp 2020 Cancún, México in September 12-13. (Note: of course, conference organizers are aware of the ongoing developments with COVID-19 and will announce any necessary changes on the respective websites!)

We would be happy if you would participate!

News

 

For more Data Protection

In October 2019 AVARD has successfully passed a recertification audit to verify compliance with German or European data protection legislation.

 

Hot Topic: Machine Learning

Learn more about the division´s guiding themes.

 

SHORE®Drive

 

The SHORE® Drive simulator analyzes driver behavior at the wheel in real time and provides information on their emotional state (e.g. stress, fatigue). It works by fusing data from the integrated facial analysis software, physiological signals measured by wearables, and data from the vehicle itself. Using SHORE® Drive can significantly improve safety on the roads.

 

 

iSTIX® - Gain Insight

 

Manuelles Whole Slide Imaging –
Retrofit your Microscope into a Digital Slide Scanner

 

Research project

INFIMEDAR

Purpose of the research project:

  • Research of miniaturized, highly integrated and inexpensive optical sensors

Fraunhofer IIS:

  • Design and simulation of the spectral characteristics of filter
  • IC-Design of sensors
  • Optical characteristic of the realized multispectral sensors
 

Artificial Intelligence:

 

Overview of our complete training offer

  • Hands-on workshop "Deep Learning and Computer Vision"
  • Basic seminar AI essentials on the topic of artificial intelligence

Contact Press / Media

Dr. rer. nat. Denise Müller-Friedrich

Smart Sensing and Electronics

Fraunhofer-Institut für Integrierte Schaltungen IIS
Am Wolfsmantel 33
91058 Erlangen

Phone +49 9131 776-4409

  • Send email