Method and system for determining plastic waste content in mixed waste

Abstract

A method for determining the amount of plastics in mixed waste includes spreading out the total amount of mixed waste on a conveyor belt (30), determining positions on the conveyor belt (30) where there are plastic waste using a hyperspectral camera (50), determining a height map that represents the topography of the plastic waste on the conveyor belt (30) based on images captured by stereo cameras (60), and determining the weight of the amount of plastic waste of the mixed waste based on the positions determined by the hyperspectral camera (50), the determined height map of the plastic waste, and a density of the plastic waste.

Description

[0001] Method and System for Determining Plastic Waste Content in Mixed Waste

[0002] Field

[0003] The technology relates to the field of waste management, specifically focusing on the identification and quantification of plastic waste in mixed waste streams. This field aims to improve the efficiency and accuracy of waste processing and recycling systems, ultimately contributing to a more sustainable and environmentally friendly waste management process.

[0004] Background

[0005] The management and disposal of mixed waste, which includes a variety of materials such as plastics, metals, and organic matter, have become increasingly important due to the growing concerns about environmental pollution and resource depletion. In particular, the identification and quantification of plastic materials within mixed waste are crucial for promoting recycling and reducing the environmental impact of plastic waste. However, the current methods and technologies for analyzing mixed waste composition face several challenges that hinder their efficiency and accuracy.

[0006] One of the main challenges in analyzing mixed waste is the lack of specificity in waste analysis sensors and analytical instruments. The sensors and instruments used in waste composition analysis may not be sufficiently specific to differentiate plastics from other materials in mixed waste, leading to inaccurate identification of plastics. This can result in an underestimation or overestimation of the plastic content in the mixed waste, which can affect the effectiveness of recycling efforts and the assessment of environmental impacts.

[0007] Another challenge is the inadequate resolution of sorting technology. The resolution of the sorting technology may be too low to accurately separate and quantify small or similar-looking pieces of plastic from other materials in the mixed waste. This can lead to wrong classification of plastic materials and affect the accuracy of quantification. The speed of analysis is also a concern in waste composition analysis. The current technology may be too slow in analyzing waste composition, which hinders the efficiency of the process and delays the determination of plastic content in mixed waste. This can affect the overall waste management process and the ability to make informed decisions about recycling and waste reduction strategies.

[0008] The complexity of mixed waste composition also poses a challenge in identifying and quantifying specific materials such as plastics. The heterogeneous nature of mixed waste, which includes a variety of materials with different properties, makes it technically challenging to identify and quantify specific materials such as plastics. This can result in inaccurate or incomplete analysis of waste composition, which can affect the effectiveness of recycling efforts and the assessment of environmental impacts.

[0009] In summary, the prior art in waste composition analysis faces several challenges, including the lack of specificity in waste analysis sensors, inadequate resolution of sorting technology, insufficient speed of analysis, complexity of mixed waste composition, limited detection capabilities of analytical instruments, and inefficient preprocessing of waste. These challenges hinder the accurate identification and quantification of plastic materials in mixed waste, which is crucial for promoting recycling and reducing the environmental impact of plastic waste.

[0010] Further, it is discussed at waste disposal plants that the amount of money a waste disposer disposing mixed waste at the plant needs to pay for disposing mixed waste would depend on the amount of plastic waste of the total amount of mixed waste. An example is: the higher the amount of plastic waste in the mixed waste, the higher the cost. Hereby, a movement towards usage of non-plastic materials or at least less plastics in e.g. the packing industry would be supported. Consequently, there is a need of a method and system for identifying and determining the amount of especially plastic waste in mixed waste.

[0011] Summary

[0012] According to a first aspect of the disclosure, a method for determining the amount of plastics in mixed waste is provided. This method comprises spreading out the total amount of mixed waste on a conveyor belt, determining by a hyperspectral camera positions on the conveyor belt where there are plastic waste, determining based on images captured by stereo cameras, a height map that represents the topography of the plastic waste on the conveyor belt, and determining, based on the positions determined by the hyperspectral camera, on the determined height map of the plastic waste, and on a density of the plastic waste, the weight of the amount of plastic waste of the mixed waste. This method allows for a more accurate and efficient determination of the amount of plastic in mixed waste, which can aid in waste management and recycling efforts.

[0013] Optionally in some examples, the method further comprises disintegrating or crushing large waste parts into smaller pieces using a disintegrator or crusher before spreading out the mixed waste on the conveyor belt. This step can help to increase the surface area of the waste, making it easier for the hyperspectral camera to detect the presence of plastic.

[0014] Optionally in some examples, the spreading out of the mixed waste on the conveyor belt is performed using rotatable discs positioned above the conveyor belt. These discs can help to distribute the waste evenly across the conveyor belt, ensuring that all parts of the waste are exposed to the hyperspectral camera.

[0015] Optionally in some examples, the hyperspectral camera determines the positions on the conveyor belt where there is plastic waste by determining a 2D map of plastic waste. This can provide a visual representation of the distribution of plastic waste on the conveyor belt, aiding in the analysis of the waste.

[0016] Optionally in some examples, the hyperspectral camera determines the positions on the conveyor belt where there is plastic waste based on wavelengths of radiation reflected by the spread mixed waste. This can allow for a more accurate detection of plastic waste, as different types of plastic reflect different wavelengths of radiation.

[0017] Optionally in some examples, the method further comprises producing radiation directed towards the conveyor belt to be reflected by the spread mixed waste using a halogen lamp. This can ensure that there is sufficient light for the hyperspectral camera to detect the reflected wavelengths of radiation.

[0018] Optionally in some examples, the height map is a 3D point cloud. This can provide a more detailed representation of the topography of the plastic waste on the conveyor belt, aiding in the determination of the amount of plastic waste.

[0019] Optionally in some examples, the method further comprises position calibrating the 2D map of plastic waste determined by the hyperspectral camera with the 3D point cloud. This can ensure that the 2D map and the 3D point cloud are accurately aligned, allowing for a more accurate determination of the amount of plastic waste.

[0020] Optionally in some examples, the method further comprises detecting, based on images of the plastic waste at the determined positions, and based on an analysis of a comprehensive database of images representing various types of plastics, one or more specific plastic types at the determined positions. Further, the density of the plastic waste, on which the weight of the amount of plastic waste of the mixed waste is determined, depends on the detected one or more specific type of plastic waste. This can allow for the identification of specific types of plastic waste, which can be useful for recycling purposes and for determining the amount of plastic waste in mixed waste. Especially, different types of plastic may have quite different density, for example plastic bags have very low density compared to massive plastic objects. By being able to identify such different plastic types, and in the determination of the weight of the amount of plastic waste of the mixed waste use a density depending on the specific type of plastic waste, a more exact measure of the amount of plastic waste in the mixed waste can be achieved.

[0021] Optionally in some examples, the detecting is performed by a control unit using Al algorithms to analyze the images and identify specific plastic types based on the comprehensive database of images. This can provide a more efficient and accurate identification of specific types of plastic waste.

[0022] Optionally in some examples, the method further comprises weighing the total amount of mixed waste using a weighing machine before spreading out the mixed waste on the conveyor belt, and determining the percentage by weight of plastic waste of the total amount of waste based on the result of weighing the total amount of mixed waste and the determined weight of the amount of plastic waste of the mixed waste. This can provide a more accurate determination of the proportion of plastic waste in the mixed waste.

[0023] Optionally in some examples, the density of the plastic waste is a standard average value for mixed waste in general, or the density of the plastic waste is a value that is different depending on the type of mixed waste, such as household waste or industry waste. This can allow for a more accurate determination of the weight of the plastic waste, as different types of waste may have different densities.

[0024] According to a second aspect of the disclosure, a system for determining the amount of plastics in mixed waste is provided. This system comprises a conveyor belt, and the system is arranged for spreading out the total amount of mixed waste on the conveyor belt. The system further comprises a hyperspectral camera configured to determine positions on the conveyor belt where there are plastic waste, stereo cameras configured to capture images of the mixed waste on the conveyor belt, and a control unit configured to determine, based on the positions determined by the hyperspectral camera, on a height map of the plastic waste determined based on the images captured by the stereo cameras, and on a density of the plastic waste, the weight of the amount of plastic waste of the mixed waste. This system can provide a more efficient and accurate determination of the amount of plastic in mixed waste.

[0025] Optionally in some examples, the system further comprises a disintegrator or crusher configured to disintegrate or crush large waste parts into smaller pieces before spreading out the mixed waste on the conveyor belt. This can increase the surface area of the waste, making it easier for the hyperspectral camera to detect the presence of plastic.

[0026] Optionally in some examples, the system further comprises a weighing machine configured to weigh the total amount of mixed waste before spreading out the mixed waste on the conveyor belt. This can provide a reference weight for the determination of the proportion of plastic waste in the mixed waste. Optionally in some examples, the system further comprises rotatable discs positioned above the conveyor belt and configured for the spreading out of the mixed waste on the conveyor belt. These discs can help to distribute the waste evenly across the conveyor belt, ensuring that all parts of the waste are exposed to the hyperspectral camera.

[0027] Optionally in some examples, the system further comprises a halogen lamp configured to produce radiation directed towards the conveyor belt to be reflected by the spread mixed waste. This can ensure that there is sufficient light for the hyperspectral camera to detect the reflected wavelengths of radiation, thereby enhancing the accuracy of plastic detection. Even though a halogen lamp is advantageous, the halogen lamp may be replaced by any other type of light source for producing radiation to be directed towards the conveyor belt.

[0028] Brief Description of the Drawings

[0029] Examples are described in more detail below with reference to the appended drawings. Figure 1 is a schematic overview of the system for determining the amount of plastics in mixed waste.

[0030] Figure 2 is a schematic side view of a part of the system for determining the amount of plastics in mixed waste.

[0031] Figure 3 is a flowchart illustrating the method for determining the amount of plastics in mixed waste.

[0032] Detailed Description

[0033] The detailed description set forth below provides information and examples of the disclosed technology with sufficient detail to enable those skilled in the art to practice the disclosure.

[0034] Figure 1 shows a schematic overview of the system for determining the amount of plastics in mixed waste. The system includes a Disintegrator or crusher 15 for breaking down large waste parts into smaller pieces, a weighing machine 20 for weighing the total amount of mixed waste, a conveyor belt 30 for transporting the mixed waste, rotatable discs 40 positioned above the conveyor belt 30 for spreading out the mixed waste, a Hyperspectral camera 50 for determining positions on the conveyor belt 30 where there are plastic waste, a Halogen lamp 55 for producing radiation directed towards the conveyor belt 30 to be reflected by the spread mixed waste, Stereo cameras 60 for capturing images of the mixed waste on the conveyor belt 30, and a Control unit 70 for analyzing the data from the Hyperspectral camera 50 and the Stereo cameras 60 to identify and quantify the amount of plastics in the mixed waste.

[0035] Figure 2 is a schematic side view of a part of the system for determining the amount of plastics in mixed waste. The figure shows the conveyor belt 30 on which the mixed waste is to be fed, the rotatable discs 40 positioned above the conveyor belt 30 for spreading out the mixed waste on the conveyor belt 30, the Hyperspectral camera 50 for determining positions on the conveyor belt 30 where there are plastic waste, the Halogen lamp 55 for producing radiation directed towards the conveyor belt 30 to be reflected by the spread mixed waste, and the Stereo cameras 60 for capturing images of the mixed waste on the conveyor belt 30.

[0036] Figure 3 is a flowchart that in conjunction with figure 1 illustrates the method for determining the amount of plastics in mixed waste. The method includes the following steps: disintegrating or crushing large waste parts into smaller pieces using the Disintegrator or crusher 15

[0201] ; weighing the total amount of mixed waste using the weighing machine 20

[0202] ; spreading out the total amount of mixed waste on the conveyor belt 30

[0204] ; feeding the mixed waste on the conveyor belt 30 towards the hyperspectral camera 50

[0206] ; determining by the Hyperspectral camera 50 positions on the conveyor belt 30 where there are plastic waste

[0208] ; determining based on images captured by the Stereo cameras 60, a height map that represents the topography of the plastic waste on the conveyor belt 30

[0210] ; position calibrating a 2D map of plastic waste determined by the Hyperspectral camera 50 with a 3D point cloud of the height map

[0211] ; detecting, based on images of the plastic waste at the determined positions, and based on an analysis of a comprehensive database of images representing various types of plastics, one or more specific plastic types at the determined positions

[0212] ; determining, based on the positions determined by the Hyperspectral camera 50, on the determined height map of the plastic waste, and on a density of the plastic waste, which density depends on the detected one or more specific type of plastic waste, the weight of the amount of plastic waste of the mixed waste 10

[0214] ; and determining the percentage by weight of plastic waste of the total amount of waste based on the result of weighing the total amount of mixed waste 10 and the determined weight of the amount of plastic waste of the mixed waste 10

[0216] ,

[0037] 1. System Details. The system for determining the amount of plastics in mixed waste is a comprehensive setup that includes several components, each designed to perform a specific function in the process of identifying and quantifying the amount of plastics in mixed waste. The system is designed to handle a large volume of mixed waste, and it includes a disintegrator or crusher 15, a weighing machine 20, a conveyor belt 30, rotatable discs 40, a hyperspectral camera 50, a halogen lamp 55, stereo cameras 60, and a control unit 70. Each of these components plays a role in the overall operation of the system, and they work together to ensure accurate and efficient determination of the amount of plastics in mixed waste.

[0038] 1.1. Conveyor Belt. In one example, the conveyor belt 30 is a component of the system. It is designed to transport the mixed waste from one end of the system to the other. The conveyor belt 30 is typically made of a durable material that can withstand the weight and abrasiveness of the mixed waste. The speed of the conveyor belt 30 can be adjusted to control the rate at which the mixed waste is transported through the system. This allows for the optimal distribution of the mixed waste on the conveyor belt 30, ensuring that the hyperspectral camera 50 and the stereo cameras 60 can accurately capture the necessary data for the determination of the amount of plastics in the mixed waste.

[0039] 1 .2. Rotatable Discs. In some implementations, the system includes rotatable discs 40 that are positioned above the conveyor belt 30. The rotatable discs 40 are designed to receive the mixed waste and to spread out the mixed waste evenly across the conveyor belt 30. This is achieved by rotating the discs at a specific speed, which generates a centrifugal force that distributes the mixed waste across the conveyor belt 30. The rotatable discs 40 are positioned at a specific height and angle above the conveyor belt 30 to ensure optimal distribution of the mixed waste. By spreading out the mixed waste, the rotatable discs 40 increase the surface area of the mixed waste that is exposed to the hyperspectral camera 50 and the stereo cameras 60, thereby enhancing the ability of these cameras to accurately identify and quantify the amount of plastics in the mixed waste. The rotatable discs 40 are typically made of a durable material that can withstand the weight and abrasiveness of the mixed waste, and they can be easily cleaned and maintained to ensure their longevity and efficiency.

[0040] 1.3. Halogen Lamp. In some configurations, the system includes a halogen lamp 55. The halogen lamp 55 is designed to produce radiation, specifically in the short-wave infrared (SWIR) range. This radiation is directed towards the conveyor belt 30 and is reflected by the spread mixed waste. The reflected radiation is then detected by the hyperspectral camera 50. The halogen lamp 55 serves as the primary light source for the hyperspectral camera 50, ensuring good illumination for accurate plastic detection. The use of a halogen lamp 55 is particularly beneficial because it produces a broad spectrum of light, including the SWIR range, which is ideal for hyperspectral imaging. The halogen lamp 55 is typically positioned in a way that it illuminates the mixed waste evenly, ensuring that all areas of the mixed waste are adequately lit for accurate detection by the hyperspectral camera 50. The halogen lamp 55 is typically positioned to illuminate the conveyor belt 30 in an area 52 in shape of a rather narrow band that extends across the whole conveyor belt 30. The halogen lamp 55 will illuminate different areas of the conveyor belt 30 over time as the conveyor belt 30 is moving through the illuminated area 52.

[0041] 1.4. Hyperspectral Camera. In one example, the hyperspectral camera 50 is a component of the system. The hyperspectral camera 50 is designed to determine positions on the conveyor belt 30 where there is plastic waste. It does this by analyzing the spectral reflectance pattern of the mixed waste. The hyperspectral camera 50 uses specific wavelength signatures to differentiate plastics from other materials in the mixed waste. The hyperspectral camera may determine a 2D map of plastic waste based on the analyze of the spectral reflectance. The hyperspectral camera 50 can be equipped with an InGaAs sensor or a CMOS sensor, each with a specific wavelength range for detecting the wavelengths of reflected electromagnetic radiation from the mixed waste. The hyperspectral camera 50 is typically positioned in a way that it captures the entire width of the conveyor belt 30, ensuring that all areas of the mixed waste are included in the analysis. The hyperspectral camera 50 is equipped with a high-resolution sensor that can capture detailed spectral data, enabling accurate determination of the positions of plastic waste. The hyperspectral camera 50 is connected to the control unit 70 in order to provide the control unit 70 with the determined positions, for example as a 2D map. 1.5. Control Unit. In one example, the control unit 70 is a component of the system. The control unit 70 is designed to analyze data from the hyperspectral camera 50 and the stereo cameras 60 to identify and quantify the amount of plastics in the mixed waste. The control unit 70 uses advanced algorithms to process the data from the cameras and determine the positions on the conveyor belt 30 where there is plastic waste. The control unit 70 also determines a height map that represents the topography of the plastic waste on the conveyor belt 30 based on images received from the stereo cameras 60. The height map may be determined as a 3D point cloud. The control unit 70 further calculates the weight of the amount of plastic waste based on the determined positions, the height map, and a density of the plastic waste. The control unit 70 is typically a computer system with a high processing capacity, and it is equipped with the necessary software for data analysis and interpretation.

[0042] 1.6. Stereo Cameras. In some implementations, the system includes stereo cameras 60. The stereo cameras 60 are designed to capture stereo images of the mixed waste on the conveyor belt 30. These images are used by the control unit 70 to determine the height map that represents the topography of the plastic waste on the conveyor belt 30. The stereo cameras 60 capture images from different angles, which allows for the creation of the height map and / or a 3D point cloud that represents the height map. The stereo cameras 60 are typically positioned in a way that they capture the entire width of the conveyor belt 30, ensuring that all areas of the mixed waste are included in the images. One of the stereo cameras 60 is typically positioned on a first side of the conveyor belt 30 and another one of the stereo cameras 60 is positioned on a second side, opposite the first side of the conveyor belt 30. The stereo cameras 60 are typically positioned in parallel, that is so that they capture images of a similar area of the conveyor belt 30 but from different angles. The stereo cameras 60 are equipped with high-resolution sensors that can capture detailed images, enabling accurate determination of the height map. The stereo cameras 60 are connected to the control unit 70.

[0043] 1.7. Weighing Machine. In some configurations, the system includes a weighing machine 20. The weighing machine 20 is designed to measure the total weight of the mixed waste before it is spread out on the conveyor belt 30. This measured total weight is used as a reference to calculate the proportion of plastics in the mixed waste after the waste has been analyzed. The weighing machine 20 is typically a high-capacity scale that can accurately measure the weight of large volumes of mixed waste. The weighing machine 20 is typically positioned at the beginning of the conveyor belt 30, where the mixed waste is loaded onto the system. The weighing machine 20 may be equipped with a digital display that shows the weight of the mixed waste, and it can be connected to the control unit 70 for automatic recording and processing of the weight data.

[0044] 1.8. Disintegrator or Crusher. In one example, the system includes a disintegrator or crusher 15. The disintegrator or crusher 15 is designed to break down large items of mixed waste into smaller pieces. This increases the surface area of the mixed waste that is exposed to the hyperspectral camera 50 and the stereo cameras 60, thereby enhancing the cameras' ability to accurately identify plastics in the mixed waste. The disintegrator or crusher 15 is typically a high-capacity machine that can handle large volumes of mixed waste. It is equipped with sharp blades or hammers that can break down the mixed waste into smaller pieces. The disintegrator or crusher 15 is typically positioned at the beginning of the conveyor belt 30, where the mixed waste is loaded onto the system. The disintegrator or crusher 15 may be connected to the control unit 70, which then controls its operation based on the volume and type of mixed waste being processed.

[0045] 2. Method for Determining the Amount of Plastics in Mixed Waste. Method details. The method for determining the amount of plastics in mixed waste involves several steps, each designed to ensure accurate and efficient identification and quantification of the amount of plastics in mixed waste. The method is designed to handle a large volume of mixed waste, and it includes several steps that are performed in a specific sequence to ensure optimal results.

[0046] 2.1. Disintegration or Crushing of Large Waste Parts. In some implementations, the method includes a step 201 of disintegrating or crushing large waste parts into smaller pieces. This step is performed using the disintegrator or crusher 15. By breaking down large items of mixed waste into smaller pieces, this step increases the surface area of the mixed waste that is exposed to the hyperspectral camera 50 and the stereo cameras 60, thereby enhancing the cameras' ability to accurately identify plastics in the mixed waste. The disintegration or crushing step is typically performed at the beginning of the process, before the mixed waste is spread out on the conveyor belt 30. 2.1 .1 . Role of the Disintegrator or Crusher. In one example, the disintegrator or crusher 15 plays a role in the disintegration or crushing step. The disintegrator or crusher 15 is designed to break down large items of mixed waste into smaller pieces. It is equipped with sharp blades or hammers that can break down the mixed waste into smaller pieces. The disintegrator or crusher 15 is typically a high-capacity machine that can handle large volumes of mixed waste. It may be connected to the control unit 70, which controls its operation based on the volume and type of mixed waste being processed.

[0047] 2.2. Weighing the Total Amount of Mixed Waste. In some configurations, the method includes a step 202 of weighing the total amount of mixed waste. This step is performed using the weighing machine 20. By measuring the total weight of the mixed waste before it is spread out on the conveyor belt 30, this step provides a reference for calculating the proportion of plastics in the mixed waste after the waste has been analyzed. The weighing step is typically performed at the beginning of the process, after the disintegration or crushing step and before the mixed waste is spread out on the conveyor belt 30.

[0048] 2.2.1. Function of the Weighing Machine. In one example, the weighing machine 20 plays a role in the weighing step. The weighing machine 20 is designed to measure the total weight of the mixed waste. It is a high-capacity scale that can accurately measure the weight of large volumes of mixed waste. The weighing machine 20 is typically positioned at the beginning of the conveyor belt 30, where the mixed waste is loaded onto the system. The weighing machine 20 is equipped with a digital display that shows the weight of the mixed waste, and it can be connected to the control unit 70 for automatic recording and processing of the weight data.

[0049] 2.3. Spreading Out the Mixed Waste. In some implementations, the method includes a step 204 of spreading out the total amount of mixed waste on the conveyor belt 30. This step is performed using the rotatable discs 40. By spreading out the mixed waste, this step increases the surface area of the mixed waste that is exposed to the hyperspectral camera 50 and the stereo cameras 60, thereby enhancing the cameras' ability to accurately identify plastics in the mixed waste. The spreading out step is typically performed after the weighing step, and it involves feeding the mixed waste onto the conveyor belt 30 and using the rotatable discs 40 to distribute the mixed waste evenly across the conveyor belt 30.

[0050] 2.3.1 . Use of Rotatable Discs. In one example, the rotatable discs 40 play a role in the spreading out step. The rotatable discs 40 are designed to receive the mixed waste and to spread out the mixed waste evenly across the conveyor belt 30. This is achieved by rotating the discs at a specific speed, which generates a centrifugal force that distributes the mixed waste across the conveyor belt 30. The rotatable discs 40 are positioned at a specific height and angle above the conveyor belt 30 to ensure optimal distribution of the mixed waste. The rotatable discs 40 are typically made of a durable material that can withstand the weight and abrasiveness of the mixed waste, and they can be easily cleaned and maintained to ensure their longevity and efficiency.

[0051] 2.4. Determining Positions of Plastic Waste. In some configurations, the method includes a step 208 of determining positions on the conveyor belt 30 where there is plastic waste. This step is performed using the hyperspectral camera 50. By analyzing the spectral reflectance pattern of the mixed waste, this step allows the hyperspectral camera 50 to use specific wavelength signatures to differentiate plastics from other materials in the mixed waste. The determining positions step is typically performed after the spreading out step, and it involves capturing spectral data from the mixed waste on the conveyor belt 30 and analyzing this data to determine the positions on the conveyor belt 30 where there is plastic waste. The result of the positioning may be a 2D map of the plastic waste on the conveyor belt 30.

[0052] 2.4.1. Function of the Hyperspectral Camera. In one example, the hyperspectral camera 50 plays a role in the determining positions step. The hyperspectral camera 50 is designed to determine positions on the conveyor belt 30 where there is plastic waste. It does this by analyzing the spectral reflectance pattern of the mixed waste. The hyperspectral camera 50 uses specific wavelength signatures to differentiate plastics from other materials in the mixed waste. The hyperspectral camera 50 can be equipped with an InGaAs sensor or a CMOS sensor, each with a specific wavelength range for detecting the wavelengths of reflected electromagnetic radiation from the mixed waste. The hyperspectral camera 50 is typically positioned in a way that it captures the entire width of the conveyor belt 30, ensuring that all areas of the mixed waste are included in the analysis.

[0053] 2.5. Creating a Height Map of Plastic Waste. In some implementations, the method includes a step 210 of determining, based on images captured by the stereo cameras 60, a height map that represents the topography of the plastic waste on the conveyor belt 30. By capturing images from different angles, this step allows for the creation of a 3D point cloud that represents the height map. The creating a height map step is typically performed after the determining positions step, and it involves capturing images of the mixed waste on the conveyor belt 30 using the stereo cameras 60 and processing these images to create a 3D point cloud that represents the height map.

[0054] 2.5.1 . Role of the Stereo Cameras. In one example, the stereo cameras 60 play a role in the creating a height map step. The stereo cameras 60 are designed to capture stereo images of the mixed waste on the conveyor belt 30. These images are used to determine a height map that represents the topography of the plastic waste on the conveyor belt 30. The stereo cameras 60 capture images from different angles, which allows for the creation of a 3D point cloud that represents the height map. The stereo cameras 60 are typically positioned in a way that they capture the entire width of the conveyor belt 30, ensuring that all areas of the mixed waste are included in the images.

[0055] 2.6. Position Calibration of 2D and 3D Maps. In some configurations, the method includes a step 211 of position calibrating the 2D map of plastic waste determined by the hyperspectral camera 50 with the 3D point cloud determined based on images captured by the stereo cameras 60. This step ensures accurate mapping of the waste on the conveyor belt 30 by aligning the 2D map with the 3D point cloud. The position calibration step is typically performed after the creating a height map step, and it involves using the control unit 70 to align the 2D map with the 3D point cloud.

[0056] 2.6.1 . Role of the Control Unit in Calibration. In one example, the control unit 70 plays a role in the position calibration step. The control unit 70 is designed to align the 2D map with the 3D point cloud to ensure accurate mapping of the waste on the conveyor belt 30. The control unit 70 uses advanced algorithms to process the data from the hyperspectral camera 50 and the stereo cameras 60 and perform the position calibration. The control unit 70 is typically a computer system with a high processing capacity, and it is equipped with the necessary software for data analysis and interpretation.

[0057] 2.7. Detecting Specific Plastic Types. In some implementations, the method includes a step 212 of detecting, based on images of the plastic waste at the determined positions, and based on an analysis of a comprehensive database of images representing various types of plastics, one or more specific plastic types at the determined positions. This step is performed using the control unit 70. By comparing each of the images captured by one of the stereo cameras 60 with the images of the comprehensive database representing various types of plastics based on machinelearning algorithms, this step allows for the identification of specific plastic types in the mixed waste. The detecting specific plastic types step is typically performed after the position calibration step, and it involves capturing images of the plastic waste at the determined positions using the stereo cameras 60, analyzing these images using Al algorithms, and comparing the analyzed images with a comprehensive database of images representing various types of plastics to identify one or more specific plastic types at the determined positions. The specific plastic types may be plastics with mutually different chemical composition, alternatively, or in combination, the specific plastic types may be plastic types having different density, at least compared to their respective boundaries, such as plastic bags and massive plastic objects.

[0058] 2.7.1. Use of Al Algorithms and Comprehensive Database. In one example, Al algorithms and a comprehensive database of images representing various types of plastics play a role in the detecting specific plastic types. The Al algorithms are designed to analyze the images captured by the stereo cameras 60 and identify specific plastic types based on the comprehensive database of images. The comprehensive database of images represents various types of plastics, and it is used as a reference for the identification of specific plastic types in the mixed waste. The Al algorithms and the comprehensive database of images are typically stored in the control unit 70, which performs the analysis and comparison of the images.

[0059] 2.8. Determining the Weight of Plastic Waste. In some configurations, the method includes a step of determining 214, based on the positions determined by the hyperspectral camera 50, on the determined height map of the plastic waste, and on a density of the plastic waste, the weight of the amount of plastic waste of the mixed waste. This step is performed using the control unit 70. By calculating the weight of the amount of plastic waste based on the determined positions, the height map, and a density of the plastic waste, this step allows for the quantification of the amount of plastics in the mixed waste. The density of the plastic waste may be an average density of plastic waste. Alternatively, the density of the plastic waste depends on the detected one or more specific type of plastic waste. The determining the weight of plastic waste step is typically performed after the detecting specific plastic types step, and it involves using the control unit 70 to calculate the weight of the amount of plastic waste based on the determined positions, the height map, and the density of the plastic waste.

[0060] In this step, the control unit 70 calculates the weight of the amount of plastic waste based on the positions determined by the hyperspectral camera 50, the determined height map of the plastic waste, and the density of the plastic waste. The positions determined by the hyperspectral camera 50 represent the locations on the conveyor belt 30 where there is plastic waste. The height map, which is a 3D point cloud, represents the topography of the plastic waste on the conveyor belt 30. The density of the plastic waste can be a standard average value for mixed waste in general, or it can be a value that is different depending on the type of mixed waste, such as household waste or industry waste. By combining these data, the control unit 70 can accurately calculate the weight of the amount of plastic waste of the mixed waste. This calculated weight is for the subsequent step of determining the percentage by weight of plastic waste of the total amount of waste.

[0061] 2.8.1. Calculation Based on Positions, Height Map, and Density. In one example, the positions determined by the hyperspectral camera 50, the height map determined based on images captured by the stereo cameras 60, and a density of the plastic waste play a role in the determining the weight of plastic waste step. The positions determined by the hyperspectral camera 50 represent the locations on the conveyor belt 30 where there is plastic waste. The height map represents the topography of the plastic waste on the conveyor belt 30. The density of the plastic waste is a standard average value for mixed waste in general, or it can be a value that is different depending on the type of mixed waste, such as household waste or industry waste. The control unit 70 uses these data to calculate the weight of the amount of plastic waste of the mixed waste.

[0062] 2.9. Determining the Percentage of Plastic Waste. In some implementations, the method includes a step 2126 of determining the percentage by weight of plastic waste of the total amount of waste based on the result of weighing the total amount of mixed waste and the determined weight of the amount of plastic waste of the mixed waste. This step is performed using the control unit 70. By calculating the percentage by weight of plastic waste of the total amount of waste based on the result of weighing the total amount of mixed waste and the determined weight of the amount of plastic waste of the mixed waste, this step allows for the quantification of the proportion of plastics in the mixed waste. The determining the percentage of plastic waste step is typically performed after the determining the weight of plastic waste step, and it involves using the control unit 70 to calculate the percentage by weight of plastic waste of the total amount of waste.

[0063] 2.9.1. Calculation Based on Total Weight and Plastic Waste Weight. In one example, the total weight of the mixed waste and the weight of the amount of plastic waste of the mixed waste play a role in the determining the percentage of plastic waste step. The total weight of the mixed waste is the weight measured by the weighing machine 20 before the mixed waste is spread out on the conveyor belt 30. The weight of the amount of plastic waste of the mixed waste is the weight calculated by the control unit 70 based on the positions determined by the hyperspectral camera 50, the height map, and a density of the plastic waste. The control unit 70 uses these weights to calculate the percentage by weight of plastic waste of the total amount of waste.

[0064] 3. Operational Process. The operational process of the method for determining the amount of plastics in mixed waste involves several steps that are performed in a specific sequence. The process begins with the disintegration or crushing of large waste parts into smaller pieces using the disintegrator or crusher 15. This is followed by the weighing of the total amount of mixed waste using the weighing machine 20. The mixed waste is then spread out on the conveyor belt 30 using the rotatable discs 40. The hyperspectral camera 50 then determines positions on the conveyor belt 30 where there is plastic waste, and the stereo cameras 60 capture images of the mixed waste on the conveyor belt 30 to determine a height map that represents the topography of the plastic waste. The control unit 70 then aligns the 2D map of positions from the hyperspectral camera 50 with the 3D point cloud determined from the images from the stereo cameras 60 to ensure accurate mapping of the waste on the conveyor belt 30. The control unit 70 then analyzes the images captured by the stereo cameras 60 using Al algorithms and compares the analyzed images with a comprehensive database of images representing various types of plastics to identify one or more specific plastic types at the determined positions. The control unit 70 then calculates the weight of the amount of plastic waste based on the determined positions, the height map, and a density of the plastic waste, which density may depend on the detected one or more specific plastic types at the determined positions. Finally, the control unit 70 calculates the percentage by weight of plastic waste of the total amount of waste based on the result of weighing the total amount of mixed waste and the determined weight of the amount of plastic waste of the mixed waste.

[0065] 3.1 . Initial Processing of Mixed Waste. The initial processing of mixed waste is the first step in the operational process of the method for determining the amount of plastics in mixed waste. This step involves the disintegration or crushing of large waste parts into smaller pieces and the weighing of the total amount of mixed waste. The disintegration or crushing of large waste parts into smaller pieces is performed using the disintegrator or crusher 15, while the weighing of the total amount of mixed waste is performed using the weighing machine 20. The initial processing of mixed waste is as it prepares the mixed waste for further analysis and ensures that the subsequent steps in the process can be performed accurately and efficiently.

[0066] 3.1.1. Disintegration and Weighing Process. In one example, the disintegration and weighing process is a part of the initial processing of mixed waste. The disintegrator or crusher 15 is used to break down large items of mixed waste into smaller pieces. This increases the surface area of the mixed waste that is exposed to the hyperspectral camera 50 and the stereo cameras 60, thereby enhancing the cameras' ability to accurately identify plastics in the mixed waste. After the disintegration or crushing process, the total amount of mixed waste is weighed using the weighing machine 20. This measured total weight is used as a reference to calculate the proportion of plastics in the mixed waste after the waste has been analyzed.

[0067] 3.2. Distribution and Analysis of Mixed Waste. The distribution and analysis of mixed waste is the next step in the operational process of the method for determining the amount of plastics in mixed waste. This step involves spreading out the total amount of mixed waste on the conveyor belt 30 using the rotatable discs 40, determining positions on the conveyor belt 30 where there are plastic waste using the hyperspectral camera 50, and capturing images of the mixed waste on the conveyor belt 30 using the stereo cameras 60 to determine a height map that represents the topography of the plastic waste. The distribution and analysis of mixed waste is as it allows for the accurate identification and quantification of the amount of plastics in the mixed waste.

[0068] 3.2.1. Spreading, Position Determination, and Height Mapping. In one example, the spreading, position determination, and height mapping process is a part of the distribution and analysis of mixed waste. The rotatable discs 40 are used to spread out the mixed waste evenly across the conveyor belt 30. This increases the surface area of the mixed waste that is exposed to the hyperspectral camera 50 and the stereo cameras 60, thereby enhancing the cameras' ability to accurately identify plastics in the mixed waste. The hyperspectral camera 50 then determines positions on the conveyor belt 30 where there is plastic waste by analyzing the spectral reflectance pattern of the mixed waste. The stereo cameras 60 capture images of the mixed waste on the conveyor belt 30 from different angles, which allows for the creation of a 3D point cloud that represents the height map. 3.3. Identification and Quantification of Plastic Waste. The identification and quantification of plastic waste is the next step in the operational process of the method for determining the amount of plastics in mixed waste. This step involves position calibrating the 2D map of plastic waste determined by the hyperspectral camera 50 with the 3D point cloud determined based on images captured by the stereo cameras 60, detecting specific plastic types at the determined positions based on images of the plastic waste and an analysis of a comprehensive database of images representing various types of plastics, and determining the weight of the amount of plastic waste based on the determined positions, the height map, and a density of the plastic waste. The identification and quantification of plastic waste is as it allows for the accurate determination of the amount of plastics in the mixed waste.

[0069] 3.3.1. Calibration, Detection, and Weight Determination. In one example, the calibration, detection, and weight determination process is a part of the identification and quantification of plastic waste. The control unit 70 aligns the 2D map with the 3D point cloud to ensure accurate mapping of the waste on the conveyor belt 30. The control unit 70 then analyzes the images captured by the stereo cameras 60 using Al algorithms and compares the analyzed images with a comprehensive database of images representing various types of plastics to identify one or more specific plastic types at the determined positions. The control unit 70 then calculates the weight of the amount of plastic waste based on the determined positions, the height map, and a density of the plastic waste.

[0070] 3.4. Final Calculation of Plastic Waste Percentage. The final calculation of plastic waste percentage is the last step in the operational process of the method for determining the amount of plastics in mixed waste. This step involves determining the percentage by weight of plastic waste of the total amount of waste based on the result of weighing the total amount of mixed waste and the determined weight of the amount of plastic waste of the mixed waste. The final calculation of plastic waste percentage is as it provides the final result of the process, which is the proportion of plastics in the mixed waste.

[0071] In this step, the control unit 70 calculates the percentage by weight of plastic waste of the total amount of waste. This is done based on the result of weighing the total amount of mixed waste 10 202 and the determined weight of the amount of plastic waste of the mixed waste 10 214. The weight of the total amount of mixed waste is obtained from the weighing machine 20, while the weight of the amount of plastic waste is determined based on the positions determined by the hyperspectral camera 50, the determined height map of the plastic waste, and a density of the plastic waste. The density of the plastic waste can be a standard average value for mixed waste in general, or it can be a value that is different depending on the type of mixed waste, such as household waste or industry waste. By comparing these two weights, the control unit 70 can accurately determine the percentage by weight of plastic waste of the total amount of waste. This final output can be used for various purposes, such as waste management and recycling.

[0072] 3.4.1. Calculation and Result Interpretation. In one example, the calculation and result interpretation process is a part of the final calculation of plastic waste percentage. The control unit 70 calculates the percentage by weight of plastic waste of the total amount of waste based on the result of weighing the total amount of mixed waste and the determined weight of the amount of plastic waste of the mixed waste. The control unit 70 then interprets the result and provides a final output that represents the proportion of plastics in the mixed waste. This final output can be used for various purposes, such as waste management and recycling.

[0073] 4. Description of Examples of the Disclosure. The method and system for determining the amount of plastics in mixed waste can be applied in various scenarios, including the analysis of household waste and industrial waste. These examples illustrate the versatility and applicability of the method and system in different contexts.

[0074] 4.1. Example of Household Waste Analysis. In one example, the method and system can be used to analyze household waste. Household waste typically consists of a variety of materials, including plastics, paper, food waste, and other materials. The composition of household waste can vary significantly depending on various factors, such as the household's consumption habits, recycling practices, and local waste management policies.

[0075] 4.1.1. Specifics of Household Waste Processing. In the processing of household waste, the mixed waste is first disintegrated or crushed into smaller pieces using the disintegrator or crusher 15. This increases the surface area of the mixed waste that is exposed to the hyperspectral camera 50 and the stereo cameras 60, thereby enhancing the cameras' ability to accurately identify plastics in the mixed waste. The total amount of mixed waste is then weighed using the weighing machine 20, providing a reference for calculating the proportion of plastics in the mixed waste after the waste has been analyzed. The mixed waste is then spread out on the conveyor belt 30 using the rotatable discs 40, and the hyperspectral camera 50 determines positions on the conveyor belt 30 where there is plastic waste. The stereo cameras 60 capture images of the mixed waste on the conveyor belt 30 to determine a height map that represents the topography of the plastic waste. The control unit 70 then aligns the 2D map with the 3D point cloud, detects specific plastic types at the determined positions, and calculates the weight of the amount of plastic waste based on the determined positions, the height map, and a density of the plastic waste. Finally, the control unit 70 calculates the percentage by weight of plastic waste of the total amount of waste.

[0076] 4.2. Example of Industrial Waste Analysis. In another example, the method and system can be used to analyze industrial waste. Industrial waste often consists of a variety of materials, including plastics, metals, chemicals, and other materials. The composition of industrial waste can vary significantly depending on the type of industry, the manufacturing processes used, and the waste management practices in place.

[0077] 4.2.1. Specifics of Industrial Waste Processing. In the processing of industrial waste, the mixed waste is first disintegrated or crushed into smaller pieces using the disintegrator or crusher 15. This increases the surface area of the mixed waste that is exposed to the hyperspectral camera 50 and the stereo cameras 60, thereby enhancing the cameras' ability to accurately identify plastics in the mixed waste. The total amount of mixed waste is then weighed using the weighing machine 20, providing a reference for calculating the proportion of plastics in the mixed waste after the waste has been analyzed. The mixed waste is then spread out on the conveyor belt 30 using the rotatable discs 40, and the hyperspectral camera 50 determines positions on the conveyor belt 30 where there is plastic waste. The stereo cameras 60 capture images of the mixed waste on the conveyor belt 30 to determine a height map that represents the topography of the plastic waste. The control unit 70 then aligns the 2D map with the 3D point cloud, detects specific plastic types at the determined positions, and calculates the weight of the amount of plastic waste based on the determined positions, the height map, and a density of the plastic waste. Finally, the control unit 70 calculates the percentage by weight of plastic waste of the total amount of waste.

[0078] 5. Potential Applications. The method and system for determining the amount of plastics in mixed waste have a wide range of potential applications. For instance, they can be used in waste management facilities to improve waste sorting and recycling processes. By accurately identifying and quantifying the amount of plastics in mixed waste, the method and system can help waste management facilities to separate plastics from other materials more effectively, thereby improving the efficiency of recycling processes and reducing the amount of waste that ends up in landfills.

[0079] In addition, the method and system can also be used in industrial settings to improve waste management practices. For instance, they can be used to analyze the waste produced by manufacturing processes, helping industries to identify opportunities for waste reduction and recycling. By providing accurate data on the composition of waste, the method and system can also help industries to comply with environmental regulations and standards.

[0080] Furthermore, the method and system can be used in research and development to study the composition of waste and develop new technologies and strategies for waste management and recycling. By providing detailed data on the amount of plastics in mixed waste, the method and system can contribute to the development of more sustainable and efficient waste management practices.

[0081] 5.1. Application in Waste Management Facilities. In one example, the method and system for determining the amount of plastics in mixed waste can be applied in waste management facilities. These facilities handle a large volume of mixed waste on a daily basis, and they require efficient and accurate methods for sorting and recycling waste. The method and system can help these facilities to identify and quantify the amount of plastics in mixed waste, thereby improving the efficiency of waste sorting and recycling processes.

[0082] 5.1 .1 . Benefits for Waste Sorting and Recycling. The method and system offer several benefits for waste sorting and recycling in waste management facilities. By accurately identifying and quantifying the amount of plastics in mixed waste, the method and system can help waste management facilities to separate plastics from other materials more effectively. This can improve the efficiency of recycling processes, as it allows for more accurate sorting of recyclable materials. Furthermore, by reducing the amount of waste that ends up in landfills, the method and system can contribute to environmental sustainability. The method and system can also provide valuable data for waste management planning and decision-making, helping waste management facilities to optimize their operations and reduce costs.

[0083] 5.2. Application in Industrial Settings. In another example, the method and system for determining the amount of plastics in mixed waste can be applied in industrial settings. Industries produce a large volume of waste as a byproduct of their manufacturing processes, and they require efficient and accurate methods for managing this waste. The method and system can help industries to identify and quantify the amount of plastics in their waste, thereby improving their waste management practices.

[0084] 5.2.1 . Benefits for Industrial Waste Management. The method and system offer several benefits for industrial waste management. By accurately identifying and quantifying the amount of plastics in industrial waste, the method and system can help industries to separate plastics from other materials more effectively. This can improve the efficiency of waste management processes, as it allows for more accurate sorting of waste materials. Furthermore, by reducing the amount of waste that ends up in landfills, the method and system can contribute to environmental sustainability. The method and system can also provide valuable data for waste management planning and decisionmaking, helping industries to optimize their operations and reduce costs. In addition, by providing accurate data on the composition of waste, the method and system can help industries to comply with environmental regulations and standards.

[0085] The terminology used herein is for the purpose of describing particular aspects only and is not intended to be limiting of the disclosure. As used herein, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. As used herein, the term "and / or" includes any and all combinations of one or more of the associated listed items. It will be further understood that the terms "comprises," "comprising," "includes," and / or "including" when used herein specify the presence of stated features, integers, actions, steps, operations, elements, and / or components, but do not preclude the presence or addition of one or more other features, integers, actions, steps, operations, elements, components, and / or groups thereof.

[0086] It will be understood that, although the terms first, second, etc., may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element without departing from the scope of the present disclosure. Relative terms such as "below" or "above" or "upper" or "lower" or "horizontal" or "vertical" may be used herein to describe a relationship of one element to another element as illustrated in the Figures. It will be understood that these terms and those discussed above are intended to encompass different orientations of the device in addition to the orientation depicted in the Figures. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element, or intervening elements may be present. In contrast, when an element is referred to as being "directly connected" or "directly coupled" to another element, there are no intervening elements present.

[0087] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs. It will be further understood that terms used herein should be interpreted as having a meaning consistent with their meaning in the context of this specification and the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.

[0088] It is to be understood that the present disclosure is not limited to the aspects described above and illustrated in the drawings; rather, the skilled person will recognize that many changes and modifications may be made within the scope of the present disclosure and appended claims. In the drawings and specification, there have been disclosed aspects for purposes of illustration only and not for purposes of limitation, the scope of the disclosure being set forth in the following claims.

Claims

Claims1 . A method for determining the amount of plastics in mixed waste, comprising: spreading out (204) the total amount of mixed waste on a conveyor belt (30); determining (208) by a hyperspectral camera (50) positions on the conveyor belt (30) where there is plastic waste; determining (210) based on images captured by stereo cameras (60), a height map that represents the topography of the plastic waste on the conveyor belt (30); and determining (214), based on the positions determined by the hyperspectral camera (50), on the determined height map of the plastic waste, and on a density of the plastic waste, the weight of the amount of plastic waste of the mixed waste.

2. The method according to claim 1 , further comprising disintegrating or crushing (201 ) large waste parts into smaller pieces using a disintegrator or crusher (15) before spreading out the mixed waste on the conveyor belt (30).

3. The method according to any one of claims 1 to 2, wherein the spreading out (204) of the mixed waste on the conveyor belt (30) is performed using rotatable discs (40) positioned above the conveyor belt (30).

4. The method according to any one of claims 1 to 3, wherein the hyperspectral camera (50) determines (208) the positions on the conveyor belt (30) where there is plastic waste by determining a 2D map of plastic waste.

5. The method according to any one of claims 1 to 4, wherein the hyperspectral camera (50) determines (208) the positions on the conveyor belt (30) where there is plastic waste based on wavelengths of radiation reflected by the spread mixed waste.

6. The method according to claim 5, further comprising producing radiation directed towards the conveyor belt (30) to be reflected by the spread mixed waste using a halogen lamp (55).

7. The method according to any one of claims 1 to 6, wherein the determined (210) height map is a 3D point cloud.

8. The method according to claim 4 and 7, further comprising position calibrating (211 ) the 2D map of plastic waste determined by the hyperspectral camera (50) with the 3D point cloud.

9. The method according to any one of claims 1 to 8, further comprising detecting (212), based on images of the plastic waste at the determined positions, and based on an analysis of a comprehensive database of images representing various types of plastics, one or more specific plastic types at the determined positions, and wherein the density of the plastic waste depends on the detected one or more specific plastic types.

10. The method according to claim 9, wherein the detecting (212) is performed by a control unit (70) using Al algorithms to analyze the images and identify specific plastic types based on the comprehensive database of images.11 . The method according to any one of claims 1 to 10, further comprising: weighing (202) the total amount of mixed waste using a weighing machine (20) before spreading out the mixed waste on the conveyor belt (30); and determining (216) the percentage by weight of plastic waste of the total amount of waste based on the result of weighing the total amount of mixed waste and the determined weight of the amount of plastic waste of the mixed waste.

12. The method according to any one of claims 1 to 11 , wherein the density of the plastic waste is a standard average value for mixed waste in general, or the density of the plastic waste is a value that is different depending on the type of mixed waste, such as household waste or industry waste.

13. A system for determining the amount of plastics in mixed waste, comprising: a conveyor belt (30), wherein the system is arranged for spreading out the total amount of mixed waste on the conveyor belt (30); a hyperspectral camera (50) configured to determine positions on the conveyor belt (30) where there is plastic waste;stereo cameras (60) configured to capture images of the mixed waste on the conveyor belt (30); and a control unit (70) configured to determine, based on the positions determined by the hyperspectral camera (50), on a height map of the plastic waste determined based on the images captured by the stereo cameras (60), and on a density of the plastic waste, the weight of the amount of plastic waste of the mixed waste.

14. The system according to claim 13, further comprising a disintegrator or crusher (15) configured to disintegrate or crush large waste parts into smaller pieces before spreading out the mixed waste on the conveyor belt (30).

15. The system according to claims 13 or 14, further comprising a weighing machine (20) configured to weigh the total amount of mixed waste before spreading out the mixed waste on the conveyor belt (30).

16. The system according to any one of claims 13 to 15, further comprising rotatable discs (40) positioned above the conveyor belt (30) and configured for the spreading out of the mixed waste on the conveyor belt (30).

17. The system according to any one of claims 13 to 16, further comprising a halogen lamp (55) configured to produce radiation directed towards the conveyor belt (30) to be reflected by the spread mixed waste.

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