DEEP LEARNING
INSPECTION
Intelligent quality inspection of complex assemblies with multiple assessment parameters.
The challenge
- Different test specimens and situations
- More than 50 different test parameters
- Multiple possibilities for approved parts
- No clear definition of failed parts
- 100% automatic testing needed
DEEP LEARNING
INSPECTION
Intelligent quality inspection of complex assemblies with multiple assessment parameters.
The challenge
- Different test specimens and situations
- More than 50 different test parameters
- Multiple possibilities for approved parts
- No clear definition of failed parts
- 100% automatic testing needed
The situation
- Complicated components consisting of numerous, delicate parts
- Many features are fitted manually, resulting in numerous possible sources of error
- Quality inspection is tiring because it can only be done by the human eye
- Not precise, exhausting
The result
- Hand-Eye application with an articulated arm robot and camera system
- Camera system uses AI (Artificial Intelligence)
- User-friendly interface simplifies the AI Deep Learning training process
The situation
- Complicated components consisting of numerous, delicate parts
- Many features are fitted manually, resulting in numerous possible sources of error
- Quality inspection is tiring because it can only be done by the human eye
- Not precise, exhausting
The result
- Hand-Eye application with an articulated arm robot and camera system
- Camera system uses AI (Artificial Intelligence)
- User-friendly interface simplifies the AI Deep Learning training process
EDMUND
JENNER-BRAUNSCHMIED
Expert for
industrial image processing,
electronics & software
EDMUND
JENNER-BRAUNSCHMIED
Expert for
industrial image processing,
electronics & software
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