Screening material waste

Patent metadata

Field	Value
Publication number	US-2020175883-A1
Application number	US-201816205671-A
Country	US
Kind code	A1
Filing date	Nov 30, 2018
Priority date	Nov 30, 2018
Publication date	Jun 4, 2020
Grant date	—

Abstract

Material waste screening is provided. A sensor obtains data related to an object. A processor classifies the object based on the data to identify a recycle category for the object, open a recycle bin for the identified recycle category, instruct the operator to deposit the object in the opened recycle bin, determine a level of compliance of the object, and create at least one new instruction to increase the level of compliance.

First claim

What is claimed is:

1 . A computer-implemented method of executing an interactive advisor, the computer-implemented method comprising:
sensing an object to be recycled using a sensor; classifying, at a processor, the sensed object to identify a recycle category for the object; opening, by the processor, a recycle bin suitable for the recycle category; instructing, by the processor, an operator to deposit the object in the opened recycle bin; determining, at the processor, a level of compliance of the object with instructions; and creating, at the processor, at least one new instruction to increase the level of compliance.

2 . The computer-implemented method of claim 1 further comprising identifying a recyclable state of the object and providing an instruction to the operator to facilitate disposing the object based on the recyclable state.

3 . The computer-implemented method of claim 2 , wherein the recyclable state includes the object having components in two or more separate recycle categories and the instruction includes separating the object into its components and depositing each component into their respective recycle bins.

4 . The computer-implemented method of claim 2 , wherein the recyclable state includes the object having garbage therein and the instruction includes separating the garbage from the object prior to depositing the object in the recycle bin.

5 . The computer-implemented method of claim 1 further comprising determining a coarse-grain identification of the object using a visual sensor.

6 . The computer-implemented method of claim 5 further comprising determining a fine-grain identification of the object using at least one of: a smell sensor; and an audio sensor.

7 . The computer-implemented method of claim 1 , further comprising determining the level of compliance of the object via measuring a parameter selected from: (i) weight; (ii) sound; and (iii) smell.

8 . An interactive advisor, comprising:
a sensor configured to obtain data related to an object; and a processor configured to:
classify the object based on the data to identify a recycle category for the object;
open a recycle bin for the identified recycle category;
instruct the operator to deposit the object in the opened recycle bin;
determine a level of compliance of the object with instructions; and
create at least one new instruction to increase the level of compliance.

9 . The interactive advisor of claim 8 , wherein the processor is further configured to identify a recyclable state of the object and provide an instruction to the operator to facilitate disposing the object based on the recyclable state.

10 . The interactive advisor of claim 9 , wherein the recyclable state includes the object having components in two or more separate recycle categories and the instruction includes separating the object into its components and depositing each component into their respective recycle bins.

11 . The interactive advisor of claim 9 , wherein the recyclable state includes the object having garbage therein and the instruction includes separating the garbage from the object prior to depositing the object in the recycle bin.

12 . The interactive advisor of claim 8 , wherein the processor is further configured to determine a coarse-grain identification of the object using data obtained at a visual sensor.

13 . The interactive advisor of claim 12 , wherein the processor is further configured to determine a fine-grain identification of the object using data obtained by at least one of: a smell sensor; and an audio sensor.

14 . The interactive advisor of claim 8 , wherein the processor is further configured to determine the level of compliance of the object via measuring a parameter selected from: (i) weight; (ii) sound; and (iii) smell.

15 . A computer program product for operating a garbage collection station, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to perform operations comprising:
sensing an object to be recycled using a sensor; classifying the sensed object to identify a recycle category for the object; opening a recycle bin suitable for the recycle category; instructing an operator to deposit the object in the opened recycle bin; determining a level of compliance of the object with instructions; and creating at least one new instruction to increase the level of compliance.

16 . The computer program product of claim 15 , wherein the operations further comprise identifying a recyclable state of the object and providing an instruction to the operator to facilitate disposing the object based on the recyclable state.

17 . The computer program product of claim 16 , wherein the recyclable state includes the object having components in two or more separate recycle categories and the instruction includes separating the object into its components and depositing each component into their respective recycle bins.

18 . The computer program product of claim 16 , wherein the recyclable state includes the object having garbage therein and the instruction includes separating the garbage from the object prior to depositing the object in the recycle bin.

19 . The computer program product of claim 15 , wherein the operations further comprise determining a coarse-grain identification of the object using a visual sensor, and determining a fine-grain identification of the object using at least one of: a smell sensor; and an audio sensor.

20 . The computer program product of claim 15 , wherein the operations further comprise determining the level of compliance of the object via measuring a parameter selected from: (i) weight; (ii) sound; and (iii) smell.

Assignees

• IBM

Inventors

• Stelmar Netto Marco Aurelio
• Cardonha Carlos Henrique
• Oliveira Igor Cerqueira

Classifications

• G09B5/00 Primary

  Electrically-operated educational appliances (working with questions and answers G09B7/00; simulators G09B9/00; advertising or displaying in general G09F) · CPC title

• G01N5/00

  Analysing materials by weighing, e.g. weighing small particles separated from a gas or liquid (G01N9/00 takes precedence {; weighing per se G01G}) · CPC title

• G06Q10/30 Primary

  Administration of product recycling or disposal · CPC title

• G09B19/00

  Teaching not covered by other main groups of this subclass (teaching or practice apparatus for gun-aiming or gun-laying F41G3/26) · CPC title

• G01N29/14

  using acoustic emission techniques {(echo of particles G01N29/046; measuring mechanical vibrations or acoustic waves in solids in general G01H1/00)} · CPC title