
Waste & Metal Recycling
Ai-feature
sorting
Smart recycling systems
The waste and metal recycling sectors are among the largest users of sorting machines. Increasing focus on sustainability and circular economy goals is driving demand for automated waste sorting systems that improve material recovery. Our sorting machines are also used in metal recycling, separating valuable fractions from scrap to enhance productivity and reduce environmental impact.
Technical solutions for different waste categories


construction
and demolition waste
Sorting systems separate concrete, asphalt, wood, and metal directly from mixed debris. Precise detection improves material recovery while cutting landfill volumes and transport costs.

commercial waste
Optical sorters process packaging, paper, and film from mixed commercial streams. Stable output quality reduces manual picks and lowers overall processing costs.

household waste
AI-driven sorting machines classify plastics, paper, glass, and metals in municipal lines. Consistent detection ensures cleaner fractions, higher recovery rates, and fewer contamination issues.

Insystem
sorting line
InSystem
sorting line
We design sorting lines around your material flow, recovery targets, and plant setup to deliver higher throughput and reliable integration.
High-durability separators handle dense materials and mixed particle sizes with high accuracy.
Automated calibration adapts to variable feed composition, keeping recovery consistent and downtime low.
wood chips

chipboard

mixed granules

fine granulate

asphalt granulate

concrete granulate

secondary sand

cardboards

NIR sensors detect polymers, paper, and multilayer packaging for clean output. Real-time monitoring supports quick adjustments, maintaining purity and throughput across changing waste streams.
plastic

packaging

paper

tetrapack

Vision analytics detect and separate recyclables from municipal waste with minimal human input. Cloud platform enables monitoring across multiple facilities.
plastic

packaging


Types of sorting
on our equipment



Setting category criteria
The sorter compares objects to user-defined accept/reject criteria to identify and remove defective products and foreign material (FM) from the production line, or to separate product of different grades or types of materials.

Recognizing pieces with the camera
Depending on the types of sensors used and the software-driven intelligence of the image processing system, optical sorters can recognize an object's characteristics:
color
size
shape
strucaral properties
chemical composition

Sorting into 2+ segments
Compared to manual sorting, which is subjective and inconsistent, optical sorting helps improve product quality, maximize throughput and increase yields while reducing labor costs.


MicroSort
SCU: 0802

Uploading material to tape
Loading material onto the belt. The material requires the simplest preparation - initial crushing, so as not to damage the machine.

Separation with grids
Materials are categorized according to their size. The overall flow flies through several stages, each characterized by the size of the hole in the mesh into which the material can fall.

60 mm
xxxx
xxxx
all < 60 mm

40 mm
xxxx
xxxx
all < 40 mm

20 mm
sand
dust
all < 20 mm

Sorting into 2 or 6 segments
Compared to manual sorting, which is subjective and inconsistent, optical sorting helps improve product quality, maximize throughput and increase yields while reducing labor costs.

Ai-feature sorting
The waste management and recycling industries are among the largest users of optical sorting equipment. Growing emphasis on sustainability and circular economy principles is driving demand for precise material separation. Optical sorters are also widely used in mining to extract valuable minerals from ore, helping reduce waste and improve operational efficiency.
Ai-feature
sorting
Ai-feature
sorting
Ai-feature sorting
The waste management and recycling industries are among the largest users of optical sorting equipment. Growing emphasis on sustainability and circular economy principles is driving demand for precise material separation. Optical sorters are also widely used in mining to extract valuable minerals from ore, helping reduce waste and improve operational efficiency.

constraction
and demolition waste
The sorter compares objects to user-defined accept/reject criteria to identify and remove defective products and foreign material (FM) from the production line, or to separate product of different grades or types of materials.
Commercial waste
The sorter compares objects to user-defined accept/reject criteria to identify and remove defective products and foreign material (FM) from the production line, or to separate product of different grades or types of materials.
household waste
The sorter compares objects to user-defined accept/reject criteria to identify and remove defective products and foreign material (FM) from the production line, or to separate product of different grades or types of materials.
wood chips

chipboard

mixed granules

fine granulate

asphalt granulate

concrete granulate

secondary sand

cardboards

plastic

packaging

paper

tetrapack

plastic

packaging

wood chips

chipboard
.jpg)
mixed granules
.jpg)
fine granulate
.jpg)
asphalt granulate
.jpg)
concrete granulate
.jpg)
secondary sand
.jpg)
cardboards
.jpg)
plastic
.jpg)
packaging
.jpg)
paper
.jpg)
tetrapack
.jpg)
plastic
.jpg)
packaging
.jpg)
3 type
uv sorting
Optical separator
V-light
2 type
ballistic separation
Ballistic separation
MicroSort

Optical separator
v-heavy

V-light

Ballistic separator
MicroSort


1
Uploading material to tape
Loading material onto the belt. The material requires the simplest preparation - initial crushing, so as not to damage the machine.
2
Separation with grids
Materials are categorized according to their size. The overall flow flies through several stages, each characterized by the size of the hole in the mesh into which the material can fall.

60 mm
xxxx
xxxx
all < 60 mm

40 mm
xxxx
xxxx
all < 40 mm

20 mm
sand
dust
all < 20 mm
3
Sorting into 2 or 6 segments
Compared to manual sorting, which is subjective and inconsistent, optical sorting helps improve product quality, maximize throughput and increase yields while reducing labor costs.


1
Setting category criteria
The sorter compares objects to user-defined accept/reject criteria to identify and remove defective products and foreign material (FM) from the production line, or to separate product of different grades or types of materials.
2
Analyzing objects with the camera
The sorter compares objects to user-defined accept/reject criteria to identify and remove defective products and foreign material (FM) from the production line, or to separate product of different grades or types of materials.

3
Sorting into 2+ segments
Compared to manual sorting, which is subjective and inconsistent, optical sorting helps improve product quality, maximize throughput and increase yields while reducing labor costs.
1 type
optical sorting


Setting category criteria
The sorter compares objects to user-defined accept/reject criteria to identify and remove defective products and foreign material (FM) from the production line, or to separate product of different grades or types of materials.

Recognizing pieces with the camera
Depending on the types of sensors used and the software-driven intelligence of the image processing system, optical sorters can recognize an object's characteristics:
color
size
shape
strucaral properties
chemical composition

Sorting into 2+ segments
Compared to manual sorting, which is subjective and incon-sistent, optical sorting helps improve product quality, maximize throughput and increase yields while reducing labor costs.
2 type
ballistic separation


Uploading material to tape
Loading material onto the belt. The material requires the simplest preparation - initial crushing, so as not to damage the machine.

Separation with grids
Materials are categorized accor-ding to their size. The overall flow flies through several stages, each characterized by the size of the hole in the mesh into which the material can fall.

60 mm
xxxx
xxxx
all < 60 mm

40 mm
xxxx
xxxx
all < 40 mm

20 mm
sand
dust
all < 20 mm

Sorting into 2 or 6 segments
Compared to manual sorting, which is subjective and incon-sistent, optical sorting helps improve product quality, maximize throughput and increase yields while reducing labor costs.

microsort
SCU: 0802













