Fully-automated 2D in-process bead inspection
Quality and productivity are priorities in automotive production. Both must be maintained at a consistently high level without exceeding budget. Structural, safety-critical bonding is an extremely demanding process in automotive body and battery assembly. Reliable bead inspection is therefore essential.
RTVision.t from QUISS is a proven solution for high-quality bonding and dispensing applications with short cycle times. Preventing air bubbles is essential as they have a strong impact on battery performance and life. RTVision.t ensures that applications maintain full conductivity and heat dissipation between modules and cooling panels.
It detects errors in bead width, position, and continuity, and presents direct feedback for immediate reactions. It can process a wide range of application patterns such as beads, stitch beads, or swirl applications. Being able to select the illumination color individually allows the system to detect any material color with the highest contrast quality. This permits 100% visual inspection, together with a simple and fast set-up.
QUISS RTVision.t solutions are powered by
- 360° application coverage ensures 100% bead inspection
- In-process monitoring detects quality problems immediately without additional cycle time
- The bead repair function enables automatic correction of unwanted gaps
- Robot speed up to 600 mm/s
- Excellent contrast quality
- Working distances from 75 mm to 275 mm
- Exposure time <50 µs for reduced blurring effect and ambient light resistancy
- Integrated strobe controller - no hardware in cabinet, simplified power supply
- Flexibly adjustable depth of field
- Ready for pole filter use
Download additional information
Automotive Overview brochure
QUISS RTVision.t brochure en
- Filename
- brochure-quiss-rtvisiont-automotive-en.pdf
- Size
- 536 KB
- Format
QUISS RTVision.t brochure de
- Filename
- brochure-quiss-rtvisiont-automotive-de.pdf
- Size
- 539 KB
- Format
QUISS RTVision.t brochure cn
- Filename
- brochure-quiss-rtvisiont-automotive-cn.pdf
- Size
- 611 KB
- Format
