Detecting Surfaces with Machine Learning
Automatic evaluation of surface states of objects
Exhibitors
Location
Hall 11, Stand B06
Description
In order to reuse components, such as those of an engine, their condition, especially the surface, must be analyzed in a complex manner. In times of scarce raw materials, the efficient performance of such analyses is becoming increasingly important. A common approach is to compare individual images or images from line scan cameras with a known, intact image of the object to be analyzed. This procedure places high demands on calibration and requires the position of the component in space to be known. If the object deviates minimally from the model, there is no meaningful result. Researchers at the Institute for Industrial Information Technology (IIIT) at KIT have developed a method that analyzes objects based on video data and machine learning. Based on previous inspections, a suitable trajectory for the moving camera is automatically determined so that the relevant object areas are clearly visible. The industrial 3D camera moves around the illuminated object and captures it as a video stream. For larger objects, the use of a drone is conceivable. A 2D representation of the surface is created from the video data. A trained neural network knows different structural shapes and states, so it can analyze large variances of models and states of a component in real time. To speed things up, the system operates at two resolutions: In the low resolution, the relevant surface areas are detected. These are then inspected for defects using high-resolution images. The automatic, intelligent optical visual inspection enables components with a large variance of model expression and states to be analyzed efficiently. The use of video data ensures efficiency and reduced susceptibility to defects, as the relevant surfaces are viewed together rather than as individual images. The method therefore works independently of the position of the objects relative to the camera.
To Product PageContact
Karlsruher Institut für Technologie (KIT)
- Kaiserstr. 12
- 76131 Karlsruhe
- Germany
Locations
More Products
Highly efficient gas turbines
Cooperative industrial robots
Quantum networks
Multi-material Ceramics
Fusion - The Breeding Blanket
Open-flow Electrolysis Cell
Fast and easy robot calibration
photreon
Hyperloop "Polaris"
HECTOR School
Hand-eye Calibration for Robots
Exoskeleton for more mobility
Chip architecture for quantum circuits
Thermomagnetic generators
Clean coating without biocides
Research truck for hydrogen technologies
Solar cells with thermoplastic busbars
Physically recycling rare earths
Lithium extraction from geothermal water
Testing highly automated vehicles
Pipe production with internal structures
Sorting without compressed air
High resolution radar with communication
Bio-Tag protects against product piracy
4WD-Acoustic-Chassis-Dynamometer
Direct synthesis of hydrogen peroxide
XFRP spring with varying fiber mixture
Experience smart machines and IIoT
Image Generation: Tomographic Processes
Automobiles on the test bench
Robot tests power tools
Biodegradable parylene coatings
Smart Data Potential Analyses for SMEs
Condition monitoring in production
3D microwave printer
Non-contact torque measurements
Pure white on polymer basis
Breast Cancer Detection by 3D Ultrasonic
Power Hardware-in-the-Loop as Real Lab
High-pressure saturator for engineering
Cooling and Heating with Solids
Direct wind-to-heat conversion
Test for fuel cell systems
SAGAS – Flexible gas analysis system
A serendipitous sensor system
Mobile measurements for thermal water
Simulate atomization at multiple scales
A pulsating flame
Sustainable cement
Ethylene-free synthesis of polyethylene
New qubit application
Three-phase hybrid converter
Recycling in demolition processes
Long-life Batteries
Optimization of solar cells
High-temp storage for process heat
Electric motors on the test rig
Coupling system for electrical storage
New recycling process for batteries
Thermal validation for battery cells
Environmentally friendly solar cells
Characterization power semiconductors
From vehicle noise to warning system
Interested in news about exhibitors, top offers and trends in the industry?
Hotline:
+49 (0)511 89-0
Deutsche Messe AG
Cookie Settings
Browser Notice
Your web browser is outdated. Update your browser for more security, speed and optimal presentation of this page.
Update Browser