System and method for automatically monitoring recyclable materials
A system includes one or more processors located remote from a plurality of containers configured to store recyclable material. The one or more processors are configured to receive image data generated by an imaging device positioned to have a field of view of an interior of a first container of the containers. The image data depicts the recyclable material within the first container. The one or more processors receive one or more weight measurements of the first container with the recyclable material therein and determine one or more characteristics of the recyclable material within the first container based on at least one of the image data or the one or more weight measurements. The one or more processors schedule a pickup date for the first container based on the one or more characteristics of the recyclable material that are determined.
1. A system comprising:
at least one imaging device mounted on a container and positioned to have a field of view of an interior of the container, the at least one imaging device configured to generate image data depicting recyclable material within the container;
at least one weight sensor configured to generate weight data corresponding to the container; and
one or more processors configured to:
determine an estimated volume of the recyclable material within the container based on the image data;
determine an estimated weight of the recyclable material within the container based on the weight data;
calculate an estimated density of the recyclable material based on the estimated volume and the estimated weight and
determine a type of the recyclable material within the container by matching the estimated density to a first known material type of multiple different known material types in a look-up table.
2. The system of claim 1 , wherein the one or more processors are configured to generate a notification message for communication to an entity in possession of the container, the notification message providing the type of the recyclable material that is determined.
3. The system of claim 1 , wherein the one or more processors are configured to generate a summary that includes the type of the recyclable material that is determined, the one or more processors configured to display the summary on a display device to an entity in possession of the container.
4. The system of claim 1 , wherein the weight data generated by the at least one weight sensor represents a total weight of the container, and
the one or more processors are configured to determine the estimated weight of the recyclable material based on a difference between the total weight of the container and a pre-measured weight of the container when empty.
5. The system of claim 1 , further comprising one or more moisture sensors mounted to the container and configured to generate moisture signals that represent an amount of moisture within the container,
wherein the one or more processors are configured to estimate a weight of moisture within the container based on the moisture signals, and
the estimated weight of the recyclable material within the container based at least in part on subtracting the weight of moisture from a value of the weight data generated by the at least one weight sensor.
6. The system of claim 5 , wherein the one or more moisture sensors include multiple moisture sensor mounted to the container at different heights along one or more walls of the container.
7. The system of claim 1 , wherein the one or more processors are configured to determine the estimated volume of the recyclable material within the container based at least in part on performing image analysis on the image data that is received to identify boundaries of the recyclable material and estimating, based on stored physical dimensions of the container, a volume of available space within the container.
8. The system of claim 1 , further comprising an infrared sensor mounted to the container and positioned to measure an emissivity value representing an amount of thermal radiation emitted by the recyclable material within the container, and the one or more processors are configured to receive and analyze the emissivity value.
9. The system of claim 8 , wherein the type of the recyclable material that is determined based on the estimated density is a first type, and the one or more processors are configured to at least one of confirm the first type or determine a second type of the recyclable material within the container by comparing the emissivity value to a list of emissivity values associated with multiple different known material types in a second look-up table.
10. The system of claim 1 , further comprising an x-ray sensor mounted to the container and positioned to measure an x-ray diffraction value representing x-ray diffraction of the recyclable material, and the one or more processors are configured to receive and analyze the x-ray diffraction value.
11. The system of claim 10 , wherein the type of the recyclable material that is determined based on the estimated density is a first type, and the one or more processors are configured to at least one of confirm the first type or determine a second type of the recyclable material within the container by comparing the x-ray diffraction value to a list of x-ray diffraction values associated with multiple different known material types in a second look-up table.
12. A system comprising:
at least one imaging device mounted on a container and positioned to have a field of view of an interior of the container, the at least one imaging device configured to generate image data depicting recyclable material within the container;
at least one weight sensor configured to generate weight data corresponding to the container;
at least one moisture sensor mounted to the container and configured to generate moisture data that represent an amount of moisture within the container; and
one or more processors configured to:
determine an estimated volume of the recyclable material within the container based on the image data;
determine an estimated weight of the recyclable material within the container based on the weight data and the moisture data;
calculate an estimated density of the recyclable material based on the estimated volume and the estimated weight;
determine a type of the recyclable material within the container by matching the estimated density to a first known material type of multiple different known material types in a look-up table; and
generate a notification message for communication to an entity in possession of the container, the notification message providing the type of the recyclable material.
13. The system of claim 12 , wherein the one or more processors are configured to determine the estimated volume of the recyclable material within the container based at least in part on performing image analysis on the image data that is received and estimating, based on stored physical dimensions of the container, a volume of available space within the container.
14. The system of claim 12 , wherein the weight data generated by the at least one weight sensor represents a total weight of the container, and
the one or more processors are configured to determine the estimated weight of the recyclable material based on a difference between the total weight of the container and a pre-measured weight of the first container when empty.
15. The system of claim 12 , further comprising an x-ray sensor mounted to the container and positioned to measure an x-ray diffraction value representing x-ray diffraction of the recyclable material, and the one or more processors are configured to receive and analyze the x-ray diffraction value.
16. The system of claim 15 , wherein the type of the recyclable material that is determined based on the estimated density is a first type, and the one or more processors are configured to at least one of confirm the first type or determine a second type of the recyclable material within the container by comparing the x-ray diffraction value to a list of x-ray diffraction values associated with multiple different known material types in a second look-up table.
17. A system comprising:
monitoring devices mounted on a container configured to hold recyclable material, the monitoring devices configured to generate data representing different corresponding monitored parameters of the recyclable material within the container, wherein the monitoring devices comprise at least one weight sensor and at least one imaging device, the at least one weight sensor configured to generate weight data representing a weight of the recyclable material within the container, the at least one imaging device configured to generate image data depicting the recyclable material within the container; and
one or more processors configured to receive the data generated by the monitoring devices, the one or more processors configured to determine an estimated volume of the recyclable material within the container based on the image data and to determine an estimated weight of the recyclable material within the container based on the weight data, the one or more processors configured to: (i) calculate an estimated density of the recyclable material based on the estimated volume and the estimated weight, (ii) compare the estimated density to a look-up table listing known material types and associated densities, and (iii) determine a type of the recyclable material within the container by matching the estimated density to one of the known material types in the look-up table;
wherein the one or more processors are configured to generate a summary that indicates the type of the recyclable material that is determined, and to control communication of the summary to a computing device of an entity that deposited the recyclable material into the container.
18. The system of claim 17 , wherein the monitoring devices additionally comprise at least one of a moisture sensor, a proximity sensor, a structured light array, a magnet, or an X-ray sensor.
19. The system of claim 17 , wherein the one or more processors are configured to schedule a pickup date for the container based on the estimated volume of the recyclable material within the container.
20. The system of claim 17 , further comprising one or more moisture sensors mounted to the container and configured to generate moisture signals that represent an amount of moisture within the container, wherein the one or more processors are configured to estimate a weight of moisture within the container based on the moisture signals, and determine the estimated weight of the recyclable material within the container based at least in part on subtracting the weight of moisture from a value of the weight data generated by the at least one weight sensor.