Safety and quality improvement in production
With the QUALITYEYE product suite based on the EYYES framework, we develop and deliver forward-looking applications for more safety in quality inspection for defect detection and surface inspection with artificial intelligence.
The camera-based sensor technology of the QUALITYEYE® product suite enables a wide range of applications using the framework.
Inspection of a wide variety of surfaces
- Defect detection
- Defect classification
- Localised defect identification
- Comparative colour and gloss testing
Detection of deviations using deep learning algorithms
- Workpiece identification
- Position determination
- Geometry recognition
- Weld seam detection
Specific optical AI solutions for machine producers to expand their own portfolio of offerings, such as
- Tool monitoring
- Inline quality inspection
- Optical evaluation for process control
- Consulting to determine the current status and the task/target
- Feasibility studies in our own lighting laboratory
- Project planning and implementation in hardware and software
- Implementation and trial operation
- Transfer of operations
- Support of the initial training and test phase
- Support and aftercare
Inspects the surface of a painted or coated workpiece to detect defects in the surface, e.g.
- Scratches, dents
- Enclosed bubbles
- Inclusions of foreign particles
- Insufficient deburring
- Deviations of color and gloss level
- Checks the dimensions of the product, e.g. for creep effects or spray defects
- Analyzes the color of the product, for example, by changes in the granules, color mist, paint runs, cloud formation
- Detects surface damage, e.g. scratches, dust inclusions, adhesive residues
- Even transparent components can be reliably inspected
Weld seam detection
- Real-time operation due to sampling rate of 90 fps
- 0% error rate
- >98% detection rate
- PLC interface to downstream industrial equipment
- Remote maintenance via VPN access
- Simple GUI for users
- Durable and robust
- Flexible design
Increasein product safetyIncrease product safety through 100% control
Reductionof costsReduction of unjustified complaint costs
Objectificationof the quality inspectionObjectification of quality inspection by replacing manual by machine inspection of attributive characteristics.
Optimizationof the quality levelOptimization of the quality level by collecting the quality data and feeding the data to control loops.
Optimizationprocess parametersIncrease in productivity through condition-dependent process parameter optimization.
Detection ratesat top levelHighest detection rates through optimized Deep Learning algorithms.
PerformancemaximizationMaximized performance and real-time testing through in-house hardware AND software development.
LearningsystemsSelf-learning systems keep the solution flexible and future-proof.