Pope Reel with jumbo roll storage and automatic spool discharge.
Automatic Turn-up system reduce paper waste during reel changing.
Hydraulic controls with proportional valve.
Paper & Board Machine
FlocVision
Using FlocVision you can monitor formation and smoothness along the paper machine. The system can consist of multiple camera positions along the machine, allowing operators to examine and measure formation. The integration with TotalVision™ software allows operators to view formation and other monitoring and inspection views, directly from the operator station.
View sheet formation and topography at any position along the paper machine.
IBS algorithms quantify floc size, shape and overall formation.
IBS algorithms quantify sheet surface topography.
Both live and historical trending.
Paper & Board Machine
Automatic Reel Changing System RCS
RCS3001
The safest and most economical method of sheet changing in all kinds of machines. More than 65+ installations across India confirms the ironclad reliability of the RCS 3001.
Easy to operate
Installation in narrow space area
Boosting productivity (reduced paper wastage)
Perfect price to performance ratio
Highest safety standards
Paper & Board Machine
Automatic Reel Changing System RCS
RCS5000
Next Generation automatic Reel Changing system for wide & high speed machines and new pope reel designs.
Touch Panel Technology integrated to Mill DCS
Modem interface for remote maintenance
Aero – Tape Guiding
LED-lighted
Memory function in case of power breakdown
Paper & Board Machine
Paper, Core & Adhesive Tapes
Brown & White paper tapes options.
Paper tapes of various callipers available.
Thinner tapes reduce unnecessary waste.
Folded design.
100% recyclable.
High adhesive strength of core stating tapes.
Paper & Board Machine
Web Inspector (WIS)
AI-Based Web Inspection with TotalVision, a combination of defect detection and quality analysis in one system. The unique image processing system based on neural networks reliably detects and documents all defects in paper web. One of the key advantages of neural networks is their ability to analyse large amounts of images data in very short time and thus detect defects or deviations in real time. To continuously improve results, neural networks can also be trained using machine learning methods. Their use in image analysis for paper production brings decisive advantages compared to conventional methods.
Faster and more efficient defect detection and segmentation
Improved adaptability to new data patterns
Increased accuracy
Distinct classification of typical defect classes with AI model (e.g. streaks, wrinkles, shred, halos etc.)
Fastest start-up due to pre-trained AI model
Line scan or matrix cameras – the right technology for every application
Tracking of defects to the root cause with TotalVision
