WASTE COLLECTION DEVICE

IT202400020179B1Active Publication Date: 2026-08-31GANIGA INNOVATION SRL
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Patent Information

Application Number
IT102024000020179
Authority / Receiving Office
IT · IT
Patent Type
Patents
Current Assignee / Owner
Filing Date
2024-09-10
Publication Date
2026-08-31
Estimated Expiration
2044-09-10

AI Technical Summary

Technical Problem

Existing waste collection systems lack efficient user recognition and automated waste sorting capabilities, leading to inefficiencies and user inconvenience.

Method used

A waste collection device equipped with a recognition unit, such as a camera or ToF sensor, for user authentication, and an access environment with compartments controlled by a processor and algorithms for automated waste sorting, enabling automated waste separation and access management.

Benefits of technology

Facilitates efficient waste disposal by automating user recognition and sorting, reducing manual effort and improving waste management efficiency.

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Description

The object of the present invention is within the scope of due to the use of mechanical systems. allows you to assist the user in to the user of involves the use of sensors by the user. Furthermore, another important purpose of the invention is to realize The features and advantages of the invention are clarified below by detailed preferred embodiments of the invention, with reference to the a top view of a waste collection device according to the invention the invention according to the invention a top view of part of a device for collecting according to the invention Also, when used, terms such as “first”, “second”, “superior”, “inferior”, “principal” and “secondary” do not necessarily identify an order, a The device 1 comprises a recognition unit. This is a unit suitable for an authorized user is identified of the device. The recognition unit 2 may use sensors to perform it can be a camera. In addition, the recognition unit 2 can Alternatively, the recognition unit 2 may comprise a ToF sensor solution, recognition is performed directly on the user who approaches recognition unit 2 Therefore, the latter can be This last solution is advantageous if the device is used within a waste collection system where device 1 can be The recognition unit display messages to the user. For example, it can show permission or denial of access to device 1 following recognition. Furthermore, The recognition unit 2 may generally comprise signalling means. Device 1 comprises an access environment contain waste 10. The access environment 7 In particular, access environment 7 is accessible from the outside. In this regard, the access room 7 may include a door in the environment from recognition unit 2. ll' in the' be, for example, a light bulb or an LED. The lighting element 12 can be in the' in the environment of for example, if the display means includes a video camera, the element at the target when the in the' acts to allow access ll' allow such access by opening respectively the unique access to one of the compartments 11a. a drive unit . The unit automatic machines used for opening doors Processor 5 can Processor 5 is the In this regard, the processor 5 can be operationally connected to the lock The processor 5 can be operationally connected to the display 20 or not allow the introduction in the' the electronic lock can send a signal to the computer 5. The algorithms they carry out a check of the electronic key's ability to open the opening the opening to the processor 5 when the user enters the sensor's range. The algorithms process the which controls the opening of the door the processor 5 to the processor 5. in the' . In detail, learning Machine learning helps improve detection in the access environment The processor ll' associate each part of the waste 10 introduced into the access environment 7 to the the association of waste 10 to compartments 11a in an automated manner. the opening of the algorithms prevent the environment from opening In detail, if the amount of waste already present inside a the algorithms do not allow the door to be opened for example, display 20 may show a message about excessive in the' ll' in the' allow to move part of the waste 10 introduced into the environment separation means 8 can send a signal to the processor 5 so that it can from algorithms in response to image acquisition by the media at least to one of the l' ll' ll' The 9 battery is advantageous since it allows the use of the device THE' THE' and to the drive unit 4. the for the activation of the separately from other functions of the computer 5. The processor 5 may understand ll' ll' data received from recognition unit 2. relating to the data received from the recognition unit 2. The second below The recognition unit 2 can in fact always remain in operation so as to associated with interaction with recognition unit 2 the The placed inside container inside which they are shock-absorbing elements that allow the processor 5 to reduce shocks The recognition unit 2 performs the recognition of a user enabled for use of device 1 by the user. the introduction of waste 10 into the access environment 7, which is opened. The user inserts waste into the access environment 7. Inside the access environment they can be activated at the time of waste introduction 10 so that to collect images of waste 10 and send them to processor 5. associations, the algorithms command the opening of only predetermined doors. separation means can perform a support activity in the The 10 separated wastes therefore end up inside the 1 According to the invention, it achieves important advantages. it makes it easier for the user to dispose of waste. In fact, the user does not separate the waste manually, but rather places it in the yes that the installation The invention is susceptible to variations within the scope of the inventive concept

Claims

CLAIMS 1. Device (1) for the collection of waste (10) designed to allow the disposal of said waste (10) in a container (11), said device (1) comprising: - a recognition unit (2) designed to perform the recognition of a user; - an access environment (7) designed to contain said waste (10); - detection means (3) operatively connected to said access environment (7) and configured to perform the detection of said waste (11); and characterised in that it further comprises: - doors (6) designed to allow access from said access environment (7) to distinct portions of said container (11); - an actuation unit (4) operatively connected to said detection means (3), connected to said doors (6) and configured to open and close said doors (6) in response to said detection;- a processor (5) operatively connected to said recognition unit (2), to said detection means (3) and to said actuation unit (4) and capable of implementing artificial intelligence algorithms; - said algorithms being configured at least to: - allow or not allow the introduction of said waste (10) into said access environment (7) in response to said recognition; - carry out a first association in which said waste (10) introduced into said access environment (7) is associated with a material typology of said waste (10) in response to said detection; - carry out a second association in which each said typology is uniquely associated with a predetermined door, said predetermined door being one of said doors (6); IM - activate said actuation means (4) to open said predetermined door in response to said first association and said second association.; 2. Device (1) according to claim 1, comprising separation means (8) located at least in said access environment (7), said separation means (8) being operatively connected to said processor (5) and configured to separate said waste (10) introduced into said access environment (7) in response to said first association.

3. Device (1) according to the preceding claim, wherein said separation means (8) comprise robots.

4. Device (1) according to any of the preceding claims, wherein said detection means (3) comprise at least display means (30) configured to acquire images of said waste (10) introduced into said access environment (7).

5. Device (1) according to any of the preceding claims, wherein said detection means (3) comprise measuring means (31) configured to measure the quantity of said waste (10).

6. Device (1) according to the preceding claim, wherein said measuring means (31) measure at least one of the weight and the volume of said waste (10) introduced into said access environment (7).

7. Device (1) according to at least claim 5, wherein said algorithms: - associate with said container (11) a predetermined quantity of waste; - prevent the opening of said access environment (7) in response to said recognition if said measuring means (31) measure a quantity of waste at least equal to said predetermined quantity. IM 8. Device (1) according to any of the preceding claims, wherein said container (11) is divided into separate compartments (11a), each of said doors (6) respectively allowing unique access to one of said compartments (11a).

9. Device (1) according to at least claims 5 and 8, wherein said algorithms: - associate a predetermined quantity of waste with each of said compartments (11 a); - send a signal if said measuring means (31) measure a quantity of waste at least equal to said predetermined quantity in one of said compartments (11 a) associated with said predetermined door; - do not allow said activating means (4) to be activated so as not to open said predetermined door in response to said first association and to said second association if said measuring means (31) measure a quantity of waste at least equal to said predetermined quantity in one of said compartments (11 a) associated with said predetermined door.

10. Device (1) according to any of the preceding claims, comprising said container (11).

11. Device (1) according to any of the preceding claims, wherein said recognition unit (2) comprises a proximity sensor.

12. Device (1) according to any of the preceding claims, comprising a battery (9) operatively connected to at least one of said processor (5), said recognition unit (2), said sensing means (3) and said actuating means (4), said battery (9) being configured to supply electrical energy to said processor (5), said recognition unit (2), said sensing means (3) and said actuating means (4) and wherein said processor D1 (5) regulates the electrical energy consumption so that it is minimal when said sensing means (3) are not active.

13. Device (1) according to any of the preceding claims, wherein said algorithms are further configured to implement machine learning to optimize at least said first association, said detection.

14. Device (1) according to any of the preceding claims, wherein said processor (5) comprises a first processing sub-unit (50) operatively connected to said sensing means (3), and to said drive unit (4) and a second sub-unit (51) operatively connected to at least said recognition unit (2) and to said first sub-unit (50), said first sub-unit (50) being configured to implement said algorithms for processing data transmitted by said sensing means (3) and activating said drive unit (4) and said second sub-unit (51) being configured to at least receive data from said recognition unit (2), said first sub-unit (50) and said second sub-unit (51) comprising microcontrollers.

15. Device (1) according to any of the preceding claims, comprising at least one lighting element (12) placed in said access room (7).

16. Device (1) according to at least claim 4, wherein said display means (30) comprise a cover member (30a) configured to cover said display means (30) when not active.

17. Device (1) according to any of the preceding claims, comprising a support (13) configured to isolate said processor (5) from external stresses and atmospheric agents, said processor (5) being IM placed inside said support (13).