The scalable Q1250 uses machine learning for lead end reconstruction, significantly enlarging the application range and improving detection efficiency.
- Full Integration into Cable Production Machines: Full machine integration cuts manual checks and changeover time. Production data with quality parameters steers the process, automating control and optimizing efficiency.
- Operator-independent Quality Control: Pre-define limits by parameters for automatic quality observation during production. This unburdens the operator's quality check, increasing efficiency and minimizing human errors.
- Comprehensive Quality Control with Integrated Machine Learning: The Q1250 scalable system checks all common quality characteristics. Its lead end reconstruction, based on a machine-learned network, boosts adaptability, efficiency, and cuts scrap.
Technical data:
- Strip length with full or partial stripping max.: 18 mm
- Camera coverage: 24 x 16 mm
- Restrictions on use: Can be used in combination with a tinning module, on request. If the Q1250 is used together with a tinning module, a protective cover must be used.
- Dimensions/height: 524 mm
- Dimensions/length: 90 mm
- Dimensions/width: 290 mm
Highlights:
- Machine learning for lead end reconstruction
- Significantly enlarged application range
- Improved detection efficiency
- Full integration into cable production machines
- Operator-independent quality control
- Comprehensive quality control with integrated machine learning