T-SCAN
TS-T5
For high-quality foreign part
separation: TS-T5
1
T-SCAN cameras 4
LED-Module
2
Speed sensors
3
UV-Module
5
Nozzle beams
6
Eliminated foreign parts
Latest sensor technology detects various foreign parts in your
process and ejects them out in a very efficient way. The Trützschler
Separator TS-T5 uses embedded image processing technology to
automatically optimize foreign part separation. 2
3
1
45
Material flow and functional principle
Maximum foreign part separation at minimum fiber loss
The machine’s controls perform a number of optimization functions, either on
request or permanently:
• Balancing white reference value
• Detecting cotton color and color
variations
• Monitoring current material speed at
all times
• Detecting variations in feeding and
making necessary adjustments
loss. Users can even adapt the
separating sensitivity for the specific
cotton quality.
Minimum cleaning and
maintenance requirements
The Trützschler TS-T5 is very effectively
sealed against penetration from dust.
It requires substantially less cleaning
than other systems, with more than
80 % less downtime.
Energy efficiency: Requires 80 %
less compressed air requirement
than other systems
Foreign parts include cotton tufts of
different colours, as well as stem parts,
leaf fragments and waste. These are all
detected by the TS-T5. The machine also
optimizes waste prevention to enable
high separation rates – boosting safety
and quality, while also minimizing fiber
Also available: TS-T3
If low-contrast external parts are not
a problem, the TS-T3 is a good choice.
It has a similar design to the TS-T5 and
includes the following modules:
• F-Module for coloured /
dark foreign parts
• P-Module for transparent
foreign parts
• UV-Module for fluorescent
foreign parts
6
Facts
Module types Type of foreign part detection
F-Module Colored / dark foreign matter
P-Module Transparent foreign matter
UV-Module Fluorescent foreign matter
G-Module Glossy / shiny foreign matter
LED-Module Small / thin foreign matter
Legal disclaimer:
This brochure has been compiled to the best of our knowledge and in good faith, with the utmost care. However, it
may be subject to typing errors or technical changes for which we assume no liability. We provide no guarantee
as to the current nature, correctness, completeness or quality of the information provided. The provided data
is non-binding.




