Monitoring device for waste disposal

Abstract

A monitoring device (1) for the waste disposal (10) comprising: a container (2) that can be opened and closed reversibly and suitable for the waste disposal (10); an acceptance unit (3) configured to carry out an acquisition of identification data of a user and to allow or not to allow the opening of the container (2) in response to the acquisition; a detection unit (4) located in the container (2) and comprising display means (40) configured to display said waste (10) introduced into the container (2); a processor (5) operatively connected to the container (2), to the acceptance unit (3) and to the detection unit (4); the processor (5) is configured for executing Artificial Intelligence algorithms which, when executed, cause the processor (5) to: detect the number of openings / closures of the container (2) associated with the same user; detect the quantity of waste (10) introduced into the container (2) associated with the same user; distinguish, on the basis of data from said display means (40), the waste (10) based on the type of waste material (10); associate with the container (2) a type of material; verify the correspondence or non-correspondence of the waste (10) introduced into the container (2) to the type of material; store a data associated with the user relating to the correspondence.

Description

MONITORING DEVICE FOR WASTE DISPOSAL

[0001] The present invention relates to a monitoring device for waste disposal of the type specified in the preamble of the first claim .

[0002] The object of this invention is a device that can be applied in the electronic and mechanical fields and, in particular, in the context of activities related to the collection and sorting of waste .

[0003] Solutions for monitoring waste disposed of to the appropriate containers are currently known .

[0004] For example, solutions have been developed for monitoring waste .

[0005] In some of the solutions developed, the management of waste sorting is carried out by means of sorting systems that can be of various kinds : in particular, waste can be separated mechanically or with other tools , so as to sort waste according to its type .

[0006] One solution is described in PCT application WO-A- 2023 / 223252 filed on 18 / 05 / 2023 in the name of GANIGAINNOVATION S . r . l .

[0007] These solutions allow you to communicate the data on the filling level of the bins by sharing it with other devices and allow you to optimize the collection path based on the filling level of the bins .

[0008] Generally, the solutions developed provide for the identification of the individual user and the association of the equipment for the disposal to the user . For example, basic tools such as bins or bags associated with a tag, or containers that can be used with access control, volumetric caps and identification tools such as cards , can be associated .

[0009] In the solutions developed, the methods for measuring the quantity of waste disposed can be based on the measurement of the weight or volume disposed .

[0010] Methods that involve measuring the weight of waste are expensive due to the integration of weighing systems with containers . Furthermore, weighing systems can be subject to shocks during emptying operations ; therefore, the use of these systems is limited to collection centers .

[0011] Methods that involve measuring the volume of waste disposed can use a direct or indirect method for calculating the volume disposed .

[0012] In the direct method, the equipment is integratedwith volumetric sensors that can be used such as , for example, ultrasound, radar, optical systems , lasers , etc . , individually or in combination . These tools calculate the volume of waste by connecting to an access control unit that registers the user . The volume calculation can be used to calculate the relative tax .

[0013] The indirect method uses an electronic device in which a control unit records the accesses and the identification of the user, through special recognition systems , and measures the number of disposals made by the same user .

[0014] A limitation of this method lies in the attribution of only the disposals , which do not take into account the quantities of waste disposed . This means that the calculated fees are disproportionate to the quantities disposed .

[0015] An alternative indirect method makes use of a device in which an access control unit identifies the user as in the previous solutions and calculates the fee based on the number of disposals made, but with a limit on the amount of waste that can be disposed of for each disposal . This solution has made it possible to reduce the degree of disproportion in the attribution of fees associated with the number of disposals .

[0016] The known technique described includes some important drawbacks .

[0017] In particular, none of these devices and monitoring methods allow for the monitoring of the quality of the disposed waste .

[0018] In this situation, the technical task underlying this invention is to devise a monitoring device for the waste disposal that can substantially overcome at least part of the aforementioned drawbacks .

[0019] Within the scope of this technical task, an important purpose of the invention is to obtain a monitoring device for the waste disposal capable of monitoring the quality of the waste disposed .

[0020] Another important purpose of the invention is to create a monitoring device for the waste disposal that allows for more efficient monitoring .

[0021] The invention also aims to create a monitoring device for the waste disposal that is more flexible and adaptable to different equipment .

[0022] The technical task and the specified purposes are achieved by a monitoring device for the waste disposal as claimed in the attached claim 1 .

[0023] Preferred technical solutions are highlighted inthe dependent claims .

[0024] The characteristics and advantages of the invention are clarified below by the detailed description of preferred embodiments of the invention, with reference to the accompanying drawings , in which :- Fig . 1 shows a monitoring device for the waste disposal according to the invention;- Fig . 2 illustrates a section of a monitoring device for the waste disposal according to the invention; and- Fig . 3 is a diagram of a part of a portion of a monitoring device for the waste disposal according to the invention .

[0025] In this document , the measurements , values , shapes , and geometric references ( such as perpendicularity and parallelism) , when associated with words such as "approximately" or other similar terms such as "almost" or " substantially" , are to be understood allowing measurement errors or inaccuracies due to production and / or manufacturing errors and, above all, allowing a slight deviation from the value, measurement , shape, or geometric reference to which it is associated . For example, such terms , if associated with a value, preferably indicate a deviation of no more than 10% of the value itself .

[0026] Furthermore, when used terms such as " first"" second" , "upper" , " lower" , "main" and " secondary" do not necessarily identify an order, a priority of relationship or relative position, but can simply be used to distinguish between different components more clearly .

[0027] Unless otherwise specified, as is clear from the following discussions , terms such as "processing" , " information technology" , "determination" , " calculation" , or similar, are considered to refer to the action and / or processes of a computer or similar electronic computing device that manipulates and / or transforms data represented as physical, such as electronic quantities of registers of a computer system and / or memories in, other data similarly represented as physical quantities within computer systems , registers or other devices for storing, transmitting or displaying information .

[0028] The measurements and data reported in this text are to be considered, unless otherwise indicated, as carried out in the ICAO International Standard Atmosphere ( ISO 2533 : 1975 ) .

[0029] With reference to the Figures , the monitoring device according to the invention is globally indicated with the number 1 . It is a monitoring device for the waste disposal 10 . This can be solid waste that can come from both private and industrial users .

[0030] Device 1 comprises a container 2 . It is a container that can be opened and closed reversibly and is suitable for the waste disposal 10 . It can correspond to a container for the collection of urban waste 10 that can be placed in urban environments . Alternatively, they can be containers used on board means of transport that allow the transport of waste 10 already collected and for which an inspection is required before being sent to landfills or collection centers .

[0031] The container 2 may include a door 20 . For example, it can be a door that can be opened and closed reversibly . It can be a door operated by actuating means 22 . These can be electronic opening devices if the door 20 is an automatic door . I f the door 20 can be opened mechanically, the actuating means 22 may comprise a lever .

[0032] The device 1 comprises an acceptance unit 3 . It may include electronic devices . In particular, it is configured to acquire a user ' s identification data . Furthermore, the acceptance unit 3 may or may not allow the opening of the container 2 in response to the acquisition . Therefore, the electronic acceptance unit 3 performs the function of verifying that the user is authorized to use the container 2 and, consequently, allows the opening of the container 2 or prevents it . In detail, the acceptance unit 3 can transmit a signal to open thedoor 20 if it is electronically operated . Alternatively, the acceptance unit 3 can allow the lever to be unlocked so that the user can move it to open the door 20 .

[0033] The acceptance unit 3 preferably includes an electronic lock 30 . It is configured to allow or not allow the opening of the container 2 only in response to the positioning of an electronic key 31 in the electronic lock 30 . In particular, the electronic key 31 can be a magnetic card and the electronic lock 31 can be a magnetic card reader . For example, it can be a card enabled for the use of waste disposal services . Alternatively, it can correspond to an identification code , associated with the user, which can connect to a unit (described below) or to a remote server where the data associated with the user is stored . For example, the code can be stored on a portable device such as a smartphone or tablet , and by means of a data transfer protocol, for example NFC, the code can be communicated to the electronic lock 30 . In this example, the electronic lock 31 may correspond to an NFC reader or a reader enabled to receive the identification code via the corresponding protocol .

[0034] The opening of the container 2 is allowed or not allowed by the receiving unit 3 in response to the placement of the electronic key 30 in the electronic lock31 if the electronic key 31 is associated with thereceiving unit 3 , is uniquely associated with the user and the enabling of the electronic key 30 is verified when the container 2 is opened . Therefore, in addition to the association of the electronic key 30 with the electronic lock 31 , further conditions must be verified, as described below . For example, the electronic key 31 can be uniquely associated with an electronic lock 30 and be enabled to open only that lock . Otherwise, the electronic lock 30 can prevent the opening of the container 2 if the latter is damaged .

[0035] In general, the user ' s association with the electronic key 31 has the advantage of correctly attributing the waste disposal 10 to the user . Therefore, the correct attribution can guarantee a correct allocation of fees for each user, if the taxation system provides for this type of attribution, or in the attribution of fines due to incorrect disposal .

[0036] The receiving unit 3 may preferably include visual means 32 . They are configured to display the data associated with the user by the electronic key 31 . For example, the visual means 32 may comprise a display . For example, it may be able to display the information associated with the electronic key 31 . In particular, the information may relate to the number of uses of the container 2 in a predetermined period of time, the amountof waste 10 disposed, or the fees / fines calculated . The visual means 32 can also communicate the operating status of the container 2 .

[0037] The device 1 comprises a detection unit 4 . It is located in the container 2 . Furthermore, it comprises display means 40 adapted to display the waste 10 introduced into said container 2 . For example , the detection unit can advantageously perform the function of verifying the presence of waste 10 inside the container 2 and of carrying out measurements to obtain information on the waste 10 introduced into the container 2 .

[0038] For example, the display means 40 may advantageously comprise a video camera . In this way, it is advantageously possible to directly view the waste 10 introduced into the container 2 . The captured images allow further information to be obtained regarding the user and the related calculation of fees / fines .

[0039] In detail, the video camera can be of the MIPI-CSI type . In this regard, the collected images may, for example, have a resolution of 320x200 at 65536 colors .

[0040] The device 1 may preferably comprise a lighting element 8 . It can be a light bulb . In detail, it can be an LED bulb . In particular, the lighting element 8 can be placed in the container 2 . In this way, the visualizationof the waste 10 present inside the container 2 is facilitated . This solution is particularly advantageous in relation to the presence of display devices 40 . In fact , for optical means , the presence of one or more lighting elements 8 facilitates the viewing of the inside of the container 2 . The lighting elements 8 can be configured to remain on for a predetermined time interval following the introduction of the waste 10 .

[0041] The display devices 40 may preferably include a cover element 40a . This is an element configured to cover the display devices 40 when they are not active . For example, they may include an automatic shutter that can cover the camera lens when the container 2 is not in use . This has the advantage of protecting the camera lens and reducing the frequency of replacement and maintenance .

[0042] The detection unit 4 may preferably comprise measuring means 41 . These are configured to measure at least one of the weight or volume of the waste 10 introduced into the container 2 . In this way, it is advantageously possible to measure the amount of waste 10 introduced into the container .

[0043] For example, the detection unit 4 may include weight sensors . In particular, it may include a scale . In particular, the measurement can be made by using the weightof the waste already present in the container as a tare and directly measuring the amount of waste 10 introduced by the user .

[0044] The detection unit 4 may include volume sensors . For example, these can be ultrasonic, radar, optical sensors , etc .

[0045] The waste 10 can be placed in a bag 11 . Therefore, the user places the waste 10 already inserted inside the bag 11 into the container 2 . The container 2 preferably includes opening devices 21 . These are configured to open the bag 11 . For example, they can be mobile devices that use blades to break the bag 11 . In particular, they can open each bag 11 after it has been introduced into the container 2 . This solution is advantageous above all in relation to the display means 40 . In fact , when the waste 10 is detected by optical means , to facilitate its visualization it is necessary to remove the bag 11 that hinders its visualization .

[0046] The device 1 advantageously comprises a processor 5 . It can be an electronic processing device capable of running software . In detail, it is configured to execute Artificial Intelligence algorithms which, when executed, cause the processor 5 to perform a plurality of functions that can be coordinated by the executed algorithms .

[0047] It is operationally connected to the container 2 . In particular, the processor 5 can be operatively connected to the actuating means 22 .

[0048] The processor 5 is operationally connected to the receiving unit 3 . The connection can be wired . Alternatively, it can be a wireless connection; for example, it can be a Bluetooth connection . In particular, the processor 5 can be operationally connected with the electronic lock 30 . Therefore, the electronic lock 30 can send signals to the processor 5 through which it can transmit the information acquired following the interaction of the electronic key 31 with the electronic lock 30 . The processor 5 , by executing the algorithms, performs a check to determine whether the electronic key 31 is enabled to open the container 2 . I f consent is given to open the container 2 , a signal is sent from the processor 5 to the actuating devices 22 . Therefore, the actuating means 22 can directly open the door 20 if it is automatic . I f the door 20 can be opened mechanically and the actuating means 22 correspond to the lever, it is unlocked .

[0049] I f the consent to open the container 2 is denied, the actuating means 22 are not activated and the container 2 remains closed . Therefore, the door 20 remains closed if it is of the automatic type . I f the door 20 can be opened mechanically and the actuating means 22 correspond to thelever, it remains locked .

[0050] The processor 5 is operationally connected to the detection unit 4 . The connection can be wired . Alternatively, it can be a wireless connection; for example, it can be a Bluetooth connection . In this way, the data collected by the detection unit can be transmitted to the processor 5 .

[0051] The execution of the algorithms means that the processor 5 can detect the number of openings / closings of the container 2 associated with the same user . For example, each time the door 20 is opened, the processor 5 can update the count of the openings of the door 20 associated with the user . This data can also be used to calculate taxes or fines .

[0052] The execution of the algorithms causes the processor 5 to detect the amount of waste 10 placed in the container 2 associated with the same user . For example, the measuring means 41 can measure the weight or volume of the waste 10 introduced into the container 2 and transmit the measurement values to the processor 5 . Alternatively, the display devices 40 can collect images of the inside of the container 2 and of the waste 10 introduced by the user and send them to the processor 5 and, by executing the algorithms , the processor 5 can process the images recordedby the display devices 40 and indirectly calculate the amount of waste 10 introduced .

[0053] In general, by executing the algorithms , the processor 5 can process the received data . In particular, they can be stored in association with the electronic key 31 . Furthermore, by executing the algorithms , the processor 5 can calculate the fees or fines using the values obtained from the measurements made .

[0054] The receiving unit 3 can preferably be configured so as not to allow the opening of the container 2 when the quantity of waste 10 exceeds a predetermined quantity . For example, the measuring means 41 can measure the total amount of waste present in the container 2 and transmit the associated data to the processor 5 . By executing the algorithms , the processor 5 can set a predetermined quantity of waste 10 , with respect to which it can determine, in the event of access to the receiving unit 3 , whether the door 20 can be opened . For example, if the amount of waste already present in the container 2 exceeds the predetermined amount , the processor 5 can prevent the opening of the door 20 even if all the other conditions for it to be opened are verified . In this way, the correct functioning of the container 2 can be ensured .

[0055] The execution of the Artificial Intelligencealgorithms means that the processor 5 can distinguish the waste 10 according to the type of waste material 10 . For example, by executing the algorithms , the processor 5 can be trained to recognize waste by analyzing known images . Therefore, by executing the algorithms , the processor 5 can associate a class to which it belongs to each material .

[0056] Furthermore, by executing the algorithms , the processor 5 can associate a type of material with the container 2 . For example, if container 2 is used for separate collection, it can be used for the collection of certain types of materials . Therefore, by executing the algorithms , the processor 5 can associate the container 2 with one or more types of waste 10 that can be introduced into it .

[0057] The execution of the algorithms causes the processor 5 to verify the correspondence or noncorrespondence of the waste 10 placed in the container 2 to the type of material .

[0058] For example, the display devices 40 can collect images of the waste 10 introduced by the user; the data relating to the images is then transmitted by the processor 5 which processes it to first associate the waste 10 with the classes to which it belongs based on the type of material ; subsequently, through the execution of thealgorithms , the processor 5 verifies the correspondence of the types of waste material 10 introduced to the types associated with the container 2 .

[0059] The execution of the algorithms causes the processor 5 to store data associated with the user relating to the correspondence between the types of waste 10 and those with which the container 2 is associated . For example, in the event of a mismatch, by executing the algorithms , the processor 5 can calculate a fine, which is associated with the user data .

[0060] The device 1 can preferably include signaling means 7 . They can be of the luminous or sound type . For example, they may include a signaling light element , such as an LED located outside the container 2 and visible to the user . Alternatively, the signaling means 7 may include a loudspeaker . The signaling means 7 are configured to emit a signal when the waste 10 placed in the container 2 does not correspond to the type of material . For example, when the processor 5 , through the execution of the algorithms , determines the mismatch between the type of waste 10 and that associated with the container 2 , the signaling means 7 can emit a light or sound signal to warn the user of the incorrect conferment . For example, the signal can be emitted by a message shown through the visual means 32 . In this way, the user is informed in real time of the incorrectdeposit .

[0061] Preferably, the processor 5 is also configured to execute Artificial Intelligence algorithms that implement machine learning and that , when executed, cause the processor 5 to optimize at least the acquisition of identification data . For example, the algorithms may be subjected to training in which they are subjected to known electronic keys 31 associated with the electronic locks 30 and known unassociated keys . Subsequently, the processor 5 , through the execution of the algorithms , checks the results of the processing carried out in such a way as to make the processing more precise . In this way, the algorithms can become more accurate in recognizing the electronic keys 31 associated with the electronic lock 30 .

[0062] Similarly, the processor 5 is also configured to execute Artificial Intelligence algorithms that implement machine learning and that , when executed, cause the processor 5 to optimize the allowing or not allowing the opening of the container 2 in response to the acquisition, the measuring of at least one of the weight or volume of waste 10 , the detecting of at least the waste 10 introduced into the container 2 . In this way, the algorithms can acquire greater precision and reliability in carrying out the processing .

[0063] The device 1 preferably comprises a battery 9 . It can be operationally connected to the processor 5 . In this regard, the processor 5 can control the switching on and off of the device 1 . Shutdown can be carried out when maintenance operations are required . The battery 9 can be operatively connected to the acceptance unit 3 . Furthermore, the battery 9 can be operatively connected to the detection unit . The battery 9 is configured to supply electrical power to the processor 5 , the receiving unit 3 , and the detection unit 4 .

[0064] Alternatively, each of the acceptance unit 3 , the detection unit 4 , and the processor 5 may each comprise a battery 9 .

[0065] The processor 5 can regulate the consumption of electrical energy in such a way that it is minimal when the acceptance unit 3 is not active .

[0066] In fact , the device 1 can always be in operation as long as it is not turned off to carry out maintenance operations and this mode allows energy savings to be achieved . This solution is particularly advantageous when there are Bluetooth connections in the device 1 that involve an expenditure of energy when they are activated for the transmission of data to and from the processor 5 and that can reduce the battery life 9 .

[0067] In this regard, the execution of the algorithms can be configured in such a way that the transmission of data via wireless connections from the electronic lock 30 to the processor 5 takes place in a short time .

[0068] Each battery 9 can be operationally connected to solar panels .

[0069] Each battery 9 can be housed in an accessible chamber . Furthermore, it can be replaceable . The device 1 may comprise a battery charge level indicator 9 . In this way, it is possible to monitor the charge level of the battery 9 in advance . Therefore, it is possible to plan the replacement of the battery 9 in advance .

[0070] The device 1 can, alternatively, be powered by connecting to an electrical network .

[0071] The processor 5 may comprise a first processing sub-unit 50 . It can be a sub-unit operatively connected to the display devices 40 . Furthermore, it is configured to execute the algorithms which, when executed, cause the processor 5 to process data transmitted by the display devices 40 . Therefore, it performs the function of acquiring and processing the data received from the display devices 40 separately from the other functions performed by the processor 5 . In detail, the first sub-unit 50 comprises a microcontroller . It can execute artificialintelligence algorithms . The first sub-unit 50 can directly control the video camera .

[0072] The processor 5 preferably comprises a second subunit 51 . It is operatively connected at least to the receiving unit 3 and to the first sub-unit 50 . Furthermore, it can be operatively connected to the measuring means 41 . The second sub-unit 51 is configured at least to receive data from the acceptance unit 3 . The second sub-unit 51 may comprise a microcontroller . For example, the second sub-unit 51 can be operatively connected to a Flash-NOR memory in which the data received from the first sub-unit50 is stored . The connection between the second sub-unit51 and the Flash-NOR memory can be made using the SPI protocol . The data can be stored in a circular buffer .

[0073] Therefore, the second sub-unit 51 performs the function of processing the data received from the receiving unit 3 . The second sub-unit 51 allows the functions that require less energy consumption to be performed . The receiving unit 3 , in fact , can always remain active so that it can carry out its functions at any time when a user uses an electronic key 31 to deposit waste 10 . This solution therefore has the advantage of reducing energy consumption due to the processing of the acquired images . In fact , the image processing functions , with higher energy consumption, are separated from the processing functionsassociated with the interaction with the acceptance unit to the basic functions of the device 1 , which require lower energy consumption . Therefore, the latter can be managed independently of the activation of the first sub-unit 50 , which is operated only when necessary .

[0074] This solution is useful for extending the life of the battery 9 .

[0075] The device 1 preferably includes a support 6 . It is configured to isolate the processor 5 from external stresses and atmospheric agents . Therefore, the processor 5 is located inside the support 6 . This solution limits shocks due to the container 2 tipping over when it is emptied .

[0076] The operation of the device 1 previously described in structural terms is as follows .

[0077] When an electronic key 31 is placed near the electronic lock 30 , data associated with the key is transmitted to the processor 5 . It verifies that the electronic key 31 is enabled to open the electronic lock 30 . I f the result is negative, the door 20 is not open . I f successful, the door 20 is opened or the lever is unlocked, so that a user can move it and open the door . The waste 10 , contained in a bag 11 , is then introduced into the container 2 . Once introduced into the container 2 , theopening means 21 open the bag 11 so that the waste 10 is visible by the display means 4 . The lighting element 8 facilitates the visualization of the waste 10 . The display devices 4 transmit the collected images to the processor 5 which processes them using artificial intelligence algorithms in order to define the type of waste 10 and verify that it corresponds to the type of waste foreseen for the container 2 . Furthermore, the quantity of waste 10 can be measured in terms of weight or volume by means of the measuring devices 41 . The measurement of the quantity allows the processor 5 to calculate taxes or fines . Furthermore, opening the door 20 allows the count of the number of disposals associated with the electronic key 31 and therefore with the user to be updated . The processor 5 stores the collected data relating to the deposit and updates the data associated with the electronic key 31 .

[0078] The device 1 according to the invention achieves important advantages .

[0079] In fact , it makes the monitoring process efficient . Artificial intelligence algorithms make the process more efficient and make it possible to assess the quality of the waste . Quality assessment allows the device to be adapted to separate collection systems .

[0080] Furthermore, self-learning processes can make thedata processing process more efficient .

[0081] Device 1 has the advantage of being able to reduce energy consumption due to data processing using artificial intelligence algorithms . In fact , image processing can be carried out by the first sub-unit 50 , which is operated only when necessary in order to reduce the energy consumption of this sub-unit , which is higher .

[0082] Another advantage of device 1 lies in the possibility of being able to be adapted to different equipment . In fact , due to its modular nature, it can be mounted on containers . In particular, device 1 can also be used for monitoring waste produced in companies and collected in structures such as roll-off containers .

[0083] The invention is susceptible to variants falling within the scope of the inventive concept defined by the claims .

[0084] In this context , all the details can be replaced by equivalent elements , and the materials , shapes , and sizes can be of any kind .

Claims

AMENDED CLAIMS received by the International Bureau on 06 February 2026 (06.02.2026)1. A monitoring device (1) for waste (10) disposal comprising :• a reversibly openable and closeable container (2) apt to dispose of said waste (10) ;• an acceptance unit (3) configured to perform an acquisition of user identification data and to allow or not allow the opening of said container (2) in response to said acquisition;• a detection unit (4) placed in said container (2) and comprising viewing means (40) apt to view said waste (10) introduced in said container (2) ; and characterized in that it further comprises:• a processor (5) operatively connected to said container (2) , said acceptance unit (3) and said detection unit (4) ; the processor (5) being configured to execute Artificial Intelligence algorithms which, when executed, cause the processor (5) to:• detect the number of openings / closings of said container (2) associated with the same user;• detect the amount of said waste (10) introduced in said container (2) associated with the same user;• distinguish, on the basis of data from said viewing means (40) , said waste (10) based upon the type of material of said waste (10) ;• associate to said container (2) said type of material;• verify the correspondence or not correspondence of said waste (10) introduced in said container (2) to said type of material;• store a piece of data associated with the user related to said correspondence.

2. The device (1) according to claim 1, wherein said waste (10) is inserted in a bag (11) , said container (2) comprising opening means (21) configured to open said bag (11) subsequently to the introduction of said bag (11) in said container (2) .

3. The device (1) according to any one of the preceding claims, wherein said detection unit (4) comprises measurement means (41) configured to measure at least one between weight or volume of said waste (10) inserted in said container (2) .

4. The device (1) according to claim 3, wherein said acceptance unit (3) is configured to not allow the opening of said container (2) when the amount of said waste (10) already in said container (2) exceeds a predetermined amount .

5. The device (1) according to any one of the preceding claims, comprising signaling means (7) configured to emit a signal when said not correspondence of said waste (10) inserted in said container (2) to said type of material is verified .

6. The device (1) according to any one of the preceding claims, wherein said acceptance unit (3) comprises an electronic lock (30) and an electronic key (31) , said electronic lock (30) being configured to allow the opening of said container (2) only in response after having verified that said electronic key (31) belongs to an authorized user.

7. The device (1) according to claim 6, wherein said acceptance unit (3) comprises visual means (32) configured to show the data associated to said user by said electronic key ( 31 ) .

8. The device (1) according to any one of the preceding claims, comprising at least an illuminating element (8) placed in said container (2) .

9. The device (1) according to any one of the preceding claims, wherein said viewing means (40) comprises a covering element (40a) configured to cover said viewing means (40) when they are not active.

10. The device (1) according to any one of the preceding claims, comprising a battery (9) operatively connected to said processor (5) , to said acceptance unit (3) and to said detection unit (4) , said battery (9) being configured to provide electricity to said processor (5) , to said acceptance unit (3) and to said detection unit (4) and wherein said processor (5) adjusts the electricity consumption so that it is minimum when said acceptance unit (3) is not active.

11. The device (1) according to any one of the preceding claims, wherein the processor (5) is further configured to execute Artificial Intelligence algorithms implementing a machine learning and which, when executed, cause the processor (5) to optimize at least:- said acquisition of identification data;- said allowing or not allowing the opening of said container (2) in response to said acquisition;- said measuring at least one between the weight or volume of said waste (10) ;- said detecting at least said waste (10) introduced in said container (2) .

12. The device (1) according to any one of the preceding claims, comprising a support (6) configured to isolate said processor (5) from external stresses and from atmosphericagents, said processor (5) being placed inside said support (6) .

13. The device (1) according to any one of the preceding claims, wherein said processor (5) comprises a first processing sub-unit (50) operatively connected to said viewing means (40) and a second sub-unit (51) operatively connected at least to said acceptance unit (3) and to said first sub-unit (50) , said first sub-unit (50) being configured to execute said algorithms which, when executed, cause the processor (5) to process data transmitted by said viewing means (40) and said second sub-unit (51) being configured at least to receive data from said acceptance unit (3) , said first sub-unit (50) and said second subunit (51) comprising microcontrollers.

Images