Flexible and intelligent sorting solutions for the recycling industry.

Our Highlights at the IFAT 2024.


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Our Highlights at the
IFAT 2024




The new VARISORT+ FILM

The VARISORT+ FILM sorter for films is a modular system based on the proved features of the VARISORT+ family. A new feature of the VARISORT+ FILM is a specially generated laminar air flow, which enables optimum conveying of flexible packaging and films. The materials are stabilised and can be reliably detected and sorted. Another innovative feature of the VARISORT+ FILM is the aerodynamically designed separation housing, which prevents air turbulences that usually impairs sorting efficiency.

 


The new SPEKTRUM+

Visitors to the Sesotec stand can also discover the new SPEKTRUM+ glass sorting system from co-exhibitor KRS Recycling Systems, which is equipped with a new C-C sensor system that, among other things, can distinguish black glass or dark glass even better from CSP (ceramic/stone/porcelain). The traditional viewing of cullet using normal transmitted light illumination has been extended by a special illumination plus sensor system (new C-C sensor) developed from scratch. This means that glass that is especially impermeable to normal light (or which is extremely dark) is no longer unintentionally sorted out with impurities such as ceramics, stones or porcelain. This represents an enormous advantage in glass recovery, as the dark fragments, which are particularly valuable due to their material thickness, remain reliably in the material cycle and can be used for the production of new goods.







Driving AiVOLUTION with SUSTAiN Technologies

Sesotec engineers have developed innovative evaluation methods based on Artificial Intelligence for our sorting systems. Where high-tech-sensors reach their limits, Artificial Intelligence approaches enable our clients to safely detect and differentiate almost every kind of material. Sesotec SUSTAiN Technologies set new standards of smart sorting recycling solutions for the circular economy. At IFAT, we highlight and present NIR-Ai and OBJECT-Ai  in special use cases for the global recycling industry.


NIR-Ai: Making the Invisible Visible

Multivariate methods reach the limits of their detection accuracy with optically very similar products, leading to the "just in case" removal of valuable materials. 

Through NIR-Ai, products can be clearly distinguished from one another within the framework of spectral analysis by the near-infrared sensor based on Artificial Intelligence. This results in better sorting outcomes and higher profitability.



OBJECT-Ai: Optical Sorting Perfection

What seems easily recognizable to the human eye pushes the boundaries of machine sorting of heterogeneous material flows when it comes to the detection of contaminants. Through OBJECT-Ai, specific properties are assigned in the context of color and shape analysis by the Color Sensor based on Artificial Intelligence. 

This allows for clear classification of good and bad materials based on shape, color, and texture (bounding boxes). It enables the differentiation of materials that were previously unsortable. It also distinguishes between food and non-food.






Fast and reliable Service

In the service area, we offer a range of services that help customers take the efficiency, productivity and connectivity of recycling lines to a new level.

One example of this is "Predictive Maintenance". The maintenance solution analyses real-time data from networked machines and systems and processes the information. This makes it possible to intervene in good time before a "standstill" occurs. This helps to improve overall system effectiveness, increase production and reduce costs.






Make an appointment now and receive a free admission voucher.

Do you have a specific challenge that needs to be solved or would you like to talk to us in general about Circular Economy?

Then arrange a personal appointment with our experts directly at the Sesotec stand now. Of course, if you make an appointment, you will also receive a free admission voucher from us.