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Mining

Ai-feature sorting

Rising demand for high-quality minerals such as lithium, copper, and precious metals for use in electronics, batteries, and green technologies (e.g., solar panels) is pushing the development of advanced sorting solutions.

Ai-feature
sorting

Ai-feature
sorting

Ai-feature sorting

Rising demand for high-quality minerals such as lithium, copper, and precious metals for use in electronics, batteries, and green technologies (e.g., solar panels) is pushing the development of advanced sorting solutions.

Technical solutions for different ore categories

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Base metal ores

Cu, Pb, Zn, and Ni

They are analyzed for major, minor, and trace elements using techniques like MP-AES after effective sample digestion methods are applied.

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industrial minerals

Limestone, sandstone, graphite

Industrial minerals do not cover metals, energy minerals and precious stones, which are instead defined by their chemical content of the substance in question.

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ferrous metals

Steel, carbon, iron ores

Ferrous metals are known for their exceptional mechanical properties, making them valuable in numerous industrial applications.

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Every stone counts

Efficient mineral sorting systems help reduce the transportation, energy and resources required to process and extract minerals, improving profitability.

Types of ore sorting on our equipment

1 type

optical sorting

3 type

uv sorting

Optical separator

V-light

1 type

optical sorting

3 type

uv sorting

Optical separator
V-light

2 type

ballistic separation

Ballistic separation

MicroSort

2 type

ballistic separation

Ballistic separation
MicroSort
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Mask group.jpg
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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.

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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

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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

Optical separator
V-light
V-heavy
Mask group.jpg
Group 35 (1).png

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.

Group 36 (1).png

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

Group 37 (1).png

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.

Optical separator
v-heavy
V-light
Ballistic separator
MicroSort
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V-light

SCU: 0701

LEARN MORE

2 type

ballistic separation

Ballistic separation

MicroSort

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noroot_edited.jpg
MicroSort

SCU: 0802

LEARN MORE
Group 35 (1).png

Uploading material to tape

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

Group 36 (1).png

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.

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60 mm

xxxx

xxxx

all < 60 mm

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40 mm

xxxx

xxxx

all < 40 mm

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20 mm

sand

dust

all < 20 mm

Group 37 (1).png

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.

2 type

Ballistic separation

Microsort

2 type

Ballistic separation

MicroSort
Mask group-1.jpg

3 type

uv sorting

Optical separator

V-light

Group 35 (1).png

Uploading material to tape

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

Group 36 (1).png

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.

Group 14.jpg

60 mm

xxxx

xxxx

all < 60 mm

Group 15.jpg

40 mm

xxxx

xxxx

all < 40 mm

Group 16.jpg

20 mm

sand

dust

all < 20 mm

Group 37 (1).png

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.

noroot_edited.jpg
microsort

SCU: 0802

LEARN MORE
Group 35 (1).png

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.

Group 36 (1).png

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.

Group 37 (1).png

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.

3 type

uv sorting

Mask group-1.jpg

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.

Group 14.jpg

60 mm

xxxx

xxxx

all < 60 mm

Group 15.jpg

40 mm

xxxx

xxxx

all < 40 mm

Group 16.jpg

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.

Mask group-2.jpg
Mask group-3.jpg
Group 35 (1).png

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.

Group 36 (1).png

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.

Group 37 (1).png

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.

Ai-feature
sorting

Ai-feature
sorting

Ai-feature sorting

Rising demand for high-quality minerals such as lithium, copper, and precious metals for use in electronics, batteries, and green technologies (e.g., solar panels) is pushing the development of advanced sorting solutions.

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