Smart Sensing in Industry 4.0

Smart Sensing

At a glance

Amid global competition, the requirements for efficient production processes in industry are growing all the time. As we move from purely digitally connected infrastructures towards self-organizing products and processes, targeted use of smart technology systems will ensure long-term business success. Here there are any number of variables, levers and details to be taken into account; for many companies, these represent an important first step towards “production of the future.”

A crucial part of this is to define and digitalize the individual stages and manufacturing processes in order to make all relevant data available for downstream documentation, analysis, optimization and further steps. Smart sensing is not merely about gathering sensor data, but also then performing an immediate, application-based analysis and sorting. This allows direct, on-site feedback on the process to be given; it also means process-relevant data can be transferred at this stage, leading to more efficient data transfer and reducing the requirements for latency, data rates and data volume.

Technologies and competence

© Fotolia

Fraunhofer IIS develops innovative algorithms to analyze and evaluate data gathered by low-cost sensors, for instance the inertial sensors used to measure speed and rotation rates, which are already integrated into almost every smartphone. The data provided can be used to determine the state of motion for tools, parts, workpieces and personnel as well as to record, digitalize and analyze processes. By combining and fusing this information with existing positioning solutions, it is also possible to enhance reliability, robustness and precision as well as to record further KPIs. The algorithms can either be directly integrated into existing electronic systems or retrofitted by way of what are known as cyber-physical systems. Using smart sensors and a connection to production systems, cyber-physical systems independently recognize, log and control process steps.

Tool Tracking

Assembly errors can be avoided by monitoring tool user activity.

ESI-Automotive

Developing reliable detection of passers-by using a combination of camera, LIDAR and RADAR sensors.

Smart Brush

Our sensors in the brush, combined with the app support your tooth brushing experience.

We offer

  • Innovative algorithms for evaluating sensor data
  • Sensor fusion, machine learning and statistical signal processing
  • Data analysis, data validation and quality control
  • Positioning in real time
  • Condition and movement classification and
  • Incident recognition and process recording in real time
  • Consulting and feasibility studies
  • Evaluation of systems by way of simulation and testing in a near-application environment or on site
  • Customer-specific development through to the product
  • Software licensing

Application area

  • Determining KPIs in dynamic systems
  • Quality assurance and monitoring, for instance in assembly and generally in an Industrie 4.0 environment 
  • Correct handling of tools and objects (adaptable guidelines)
  • Positioning and tracking
  • Geofencing
  • Automated process documentation