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
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.
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.
ferrous metals
Steel, carbon, iron ores
Ferrous metals are known for their exceptional mechanical properties, making them valuable in numerous industrial applications.
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
3 type
uv sorting
Optical separator
V-light
3 type
uv sorting
2 type
ballistic separation
Ballistic separation
MicroSort
2 type
ballistic separation
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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
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.
Optical separator
v-heavy
V-light
Ballistic separator
MicroSort
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V-light
SCU: 0701
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2 type
ballistic separation
Ballistic separation
MicroSort
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.
3 type
uv sorting
Optical separator
V-light
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
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.
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.
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
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.
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.
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.
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.