Working principle of AI optical sorting machine

Working principle of AI optical sorting machine

www.haibaoseparator.com/intelligent-garbage-sorting-robot.html

Photometric sorter is called optical sorter for short, and its working principle is based on different light reflection characteristics of materials. There are many kinds of this kind of picker, which is the most variety among all kinds of pickers. It is widely used not only in mining, but also in other industries, such as chemical industry, machinery, coal, building materials, food, grain and other departments. This kind of sorter has good application effect and stable index. It is the most successful kind of picking technology.

The light sorter is based on a laser source and a sensing photomultiplier, which is used to scan the system to detect the light reflected by the surface of the rock block in the selected area. The electronic system analyzes the signal of the photomultiplier, which varies with the intensity of the reflected light, and accordingly generates a control signal to start the corresponding valve on the air-jet ore discharging device, so as to exclude some particles selected according to the analysis process. This kind of optical sorting machine is fully automatic and can be supervised by an operator without full-time attendance.

Optical classification process
1. focusing of light: the light emitted by the light source is focused by optical elements such as lenses, so that the light can be concentrated.
Into a small area.
2. Light transmission: the light is transmitted from the light source to the surface of the material, and it is refracted and reflected.
3. Incident of the material: light enters the material and interacts with the material.
4. Spectral analysis: the sensor collects the spectral information of light passing through the material.
5. Classification of materials: By analyzing and processing the spectral information, we can judge the quality, composition and other characteristics of materials.
Thereby realizing the classification of materials.

Workflow of optical separator
1. Initialization: After the system is started, perform self-inspection and calibrate the light source and sensor.
2. Sensor collecting data: The sensor collects the spectral information of the material after passing.
3. Data processing: processing the data collected by the sensor and extracting the characteristic information.
4. Control system adjustment parameters: control system adjustment according to the data collected by sensors and data processing results.
The parameters of light source, optical transmission system, etc. are classified in an optimal state.
5. Optical classification: the materials are classified optically according to the adjusted parameters.
6. Output of classification results: output the classification results, which can be displayed by means of monitors, printers, etc.

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