Medical Stocking Inspection System

NIPS-T (NIPS-Table) is an optical textile inspection system with AI-supported evaluation function. The key difference is that the garments are presented on a table instead of on a 360° conveyor belt. This makes NIPS-T ideal for production-related inspection processes. NIPS-T is specifically designed for quality control after manufacturing or after individual production steps.

Automated control system for quality control after production

NIPS-T automates the previously manual visual inspection. The standardized control process avoids subjective quality assessments and the associated human errors. With the help of high-resolution cameras, special lighting, and AI algorithms, garments and critical areas are analyzed and checked with a high degree of reliability according to defined quality criteria. Test results are digitally documented and integrated into existing IT/ERP processes via interfaces so that they can be used for rework, rejection, and process optimization.

What can NIPS-T detect?

NIPS-T is particularly effective at detecting seam-related quality deviations such as seam interruptions, open or unraveled seams, missing stitches, and uneven stitch patterns. It also identifies typical seam defects such as seam misalignment, wrinkles/ripples along the seam, damaged seam areas, and critical zones at transitions and stress points. Depending on the configuration, NIPS-T can also detect other defects such as stains, holes/tears, material or surface irregularities, and contamination.

What can it be used for?

NIPS-T is suitable for end-of-line inspections after production as well as for random or 100% inspections before packaging and shipping. It can also be used for inline quality assurance after critical work steps (e.g., sewing, attaching pockets/reinforcements, applications) in order to trigger rework at an early stage.

What does our technology do?
NIPS-T delivers consistent, standardized inspection quality—regardless of fatigue or experience of the inspection staff. Quality rules (tolerances, error classes, product groups) can be customized so that the system can be adapted to different items and standards. The garment is positioned on the NIPS table for inspection, and the camera system then captures the relevant areas in consistent image quality. The image data is transferred in real time to the evaluation software, which marks and classifies any anomalies. This results in traceable inspection decisions, including documentation (e.g., image storage/markings).

NIPS automates the process of necessary quality control of high-visibility clothing after washing, based on the electronic processing of images and machine learning.

What Does our Technology Accomplish?

Textile service providers require constant quality assurance after washing their textiles. Through DESION NIPS the recognition of deviations in color and reflection is automated and carried out in consistently high quality. Our camera system can recognize a multitude of textile defects on fabric and reflective stripes.

Integrated Optical Quality Control

Garments, after washing and finishing on individual hangers, pass by our lights with integrated cameras, where photos are taken of the front and back (2 - 4 camera setups). Our software analyzes these photos in real time and transmits the results to the control software, which then sends the garments to selected stations in the quality control process. The results of each inspection are stored in the system and build a valuable collection of data. This database enables the customer to perform further analysis and optimization not only of the system itself but also the internal processes.

What Can it Detect?

Following characteristics can be detected by our system:

• Color deviation
• Reflective strips (including strip type & damages)
• Material types (e.g. different fibers, weaving)
• Clothing types
• Holes
• Different kind of stains
• Brightness deviation

What Can it Be applied for?

In addition to the washing textile industry, other industries can also benefit from our technology. NIPS can be seamlessly embedded in existing systems and processes for advanced visual quality assurance.

Classifly combines several technologies that form an AI unit specially designed for the detection of material properties of high variance objects at high speed. The system consists of a control-box including four cameras connected to a local processing device. Objects can be classified in a few milliseconds in free-fall.

What does our Technology accomplish?

One of the biggest problems with the automatic sorting and
quality assurance of deformable textiles is to examine the entire
object at once, because the deformability makes the probability
of covering (occluding) individual areas very high. Therefore,
and because an orderly, flat placement of the textiles is very
time-consuming, we propose examining the textiles in free-fall
with the here presented Classifly recording unit.

How can it be used?

Classifly is available in various sizes (40, 80, 180) for textiles of all types and sizes. The objects can be fed in mechanically via grippers or conveyor belts or manually by hand. Depending on the location, sorting can take place e.g. via flaps under the box and via conveyor belts. Classifly can be controlled via PLC using common protocols (e.g. Profinet, Modbus TCP). Desion will be happy to create an overall concept tailored to your application

What can be detected?

• Holes and cracks
• Different types of stains
• Differentiation of textile types
• Types of materials and weaves
• Color deviations
• Organic stains

Defis is a camera based fabric inspection system. It detects visible faults in patterned and uniform fabrics using computer-vision. Defis guarantees a high and consistent product quality during manufacture and optimizes process efficiency.

What Does Our Technology Accomplish?

Defis Inspection System consists of a hardware unit, the control software, an interface module and the inspection module. Due to our open data structure, inspection results can be processed either through our interface module or by a third party control software. Defis is developed for the open source Linux operating system and runs on common x64 systems.

The Hardware Unit

The hardware unit consists of a individually customized camera and light combination. We provide different technologies like area scan or line scan cameras and make use of multiple light spectrums to perfectly fit your needs. Our hardware is IP67 rated for operation in harsh industrial environments. The unit is controlled via Ethernet, so that the processing of the aquired image data by the inspection software module can take place locally or remotely in a data center or even in the cloud. A local computing unit is tailored by us to your application and is delivered in 19" server.

Interface Module

The Defis Interface Module provides the control of the system via fieldbus network or a web service. Multiple protocols are available. Nagios is supported as remote monitoring software.

Inspection Module

The Defis Inspection Module is the vision component of the system. It processes the camera images and makes the decision about the occurrence of defects. The Defis model is a learning system. Which defects to detect and respective detail settings can be refined by the customer over time. New defects can be added and thresholds for exisiting ones can be adjusted anytime.

Our Flexibility to Your Advantage

The development of both our customers and our business is a continuous process. Our inspection systems grow with the needs of the customer and with the speed of technological developments. Our software is scalable, flexible and always customizable. We will be happy to advise you on your individual application.

NIPS-T (NIPS-Table) is an optical textile inspection system with AI-supported evaluation function. The key difference is that the garments are presented on a table instead of on a 360° conveyor belt. This makes NIPS-T ideal for production-related inspection processes. NIPS-T is specifically designed for quality control after manufacturing or after individual production steps.

Automated control system for quality control after production

NIPS-T automates the previously manual visual inspection. The standardized control process avoids subjective quality assessments and the associated human errors. With the help of high-resolution cameras, special lighting, and AI algorithms, garments and critical areas are analyzed and checked with a high degree of reliability according to defined quality criteria. Test results are digitally documented and integrated into existing IT/ERP processes via interfaces so that they can be used for rework, rejection, and process optimization.

What can NIPS-T detect?

NIPS-T is particularly effective at detecting seam-related quality deviations such as seam interruptions, open or unraveled seams, missing stitches, and uneven stitch patterns. It also identifies typical seam defects such as seam misalignment, wrinkles/ripples along the seam, damaged seam areas, and critical zones at transitions and stress points. Depending on the configuration, NIPS-T can also detect other defects such as stains, holes/tears, material or surface irregularities, and contamination.

What can it be used for?

NIPS-T is suitable for end-of-line inspections after production as well as for random or 100% inspections before packaging and shipping. It can also be used for inline quality assurance after critical work steps (e.g., sewing, attaching pockets/reinforcements, applications) in order to trigger rework at an early stage.

What does our technology do?
NIPS-T delivers consistent, standardized inspection quality—regardless of fatigue or experience of the inspection staff. Quality rules (tolerances, error classes, product groups) can be customized so that the system can be adapted to different items and standards. The garment is positioned on the NIPS table for inspection, and the camera system then captures the relevant areas in consistent image quality. The image data is transferred in real time to the evaluation software, which marks and classifies any anomalies. This results in traceable inspection decisions, including documentation (e.g., image storage/markings).

NIPS automates the process of necessary quality control of high-visibility clothing after washing, based on the electronic processing of images and machine learning.

What Does our Technology Accomplish?

Textile service providers require constant quality assurance after washing their textiles. Through DESION NIPS the recognition of deviations in color and reflection is automated and carried out in consistently high quality. Our camera system can recognize a multitude of textile defects on fabric and reflective stripes.

Integrated Optical Quality Control

Garments, after washing and finishing on individual hangers, pass by our lights with integrated cameras, where photos are taken of the front and back (2 - 4 camera setups). Our software analyzes these photos in real time and transmits the results to the control software, which then sends the garments to selected stations in the quality control process. The results of each inspection are stored in the system and build a valuable collection of data. This database enables the customer to perform further analysis and optimization not only of the system itself but also the internal processes.

What Can it Detect?

Following characteristics can be detected by our system:

• Color deviation
• Reflective strips (including strip type & damages)
• Material types (e.g. different fibers, weaving)
• Clothing types
• Holes
• Different kind of stains
• Brightness deviation

What Can it Be applied for?

In addition to the washing textile industry, other industries can also benefit from our technology. NIPS can be seamlessly embedded in existing systems and processes for advanced visual quality assurance.

Classifly combines several technologies that form an AI unit specially designed for the detection of material properties of high variance objects at high speed. The system consists of a control-box including four cameras connected to a local processing device. Objects can be classified in a few milliseconds in free-fall.

What does our Technology accomplish?

One of the biggest problems with the automatic sorting and
quality assurance of deformable textiles is to examine the entire
object at once, because the deformability makes the probability
of covering (occluding) individual areas very high. Therefore,
and because an orderly, flat placement of the textiles is very
time-consuming, we propose examining the textiles in free-fall
with the here presented Classifly recording unit.

How can it be used?

Classifly is available in various sizes (40, 80, 180) for textiles of all types and sizes. The objects can be fed in mechanically via grippers or conveyor belts or manually by hand. Depending on the location, sorting can take place e.g. via flaps under the box and via conveyor belts. Classifly can be controlled via PLC using common protocols (e.g. Profinet, Modbus TCP). Desion will be happy to create an overall concept tailored to your application

What can be detected?

• Holes and cracks
• Different types of stains
• Differentiation of textile types
• Types of materials and weaves
• Color deviations
• Organic stains