CN111992516A - Intelligent garbage classification system - Google Patents

Intelligent garbage classification system Download PDF

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Publication number
CN111992516A
CN111992516A CN202010839406.4A CN202010839406A CN111992516A CN 111992516 A CN111992516 A CN 111992516A CN 202010839406 A CN202010839406 A CN 202010839406A CN 111992516 A CN111992516 A CN 111992516A
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garbage
resistor
image
signal
humidity
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CN202010839406.4A
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Chinese (zh)
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王爱义
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Huaibei Suda Medical Transfer Service Co ltd
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Huaibei Suda Medical Transfer Service Co ltd
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/34—Sorting according to other particular properties
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/02—Measures preceding sorting, e.g. arranging articles in a stream orientating
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/34—Sorting according to other particular properties
    • B07C5/342—Sorting according to other particular properties according to optical properties, e.g. colour
    • B07C5/3422—Sorting according to other particular properties according to optical properties, e.g. colour using video scanning devices, e.g. TV-cameras
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/36—Sorting apparatus characterised by the means used for distribution
    • B07C5/361—Processing or control devices therefor, e.g. escort memory
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/36—Sorting apparatus characterised by the means used for distribution
    • B07C5/361—Processing or control devices therefor, e.g. escort memory
    • B07C5/362—Separating or distributor mechanisms
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C2501/00—Sorting according to a characteristic or feature of the articles or material to be sorted
    • B07C2501/0054—Sorting of waste or refuse

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)

Abstract

The invention provides an intelligent garbage classification system, which classifies garbage to be sorted by utilizing a humidity sensor, a signal processing circuit, a hardness sensor, a threshold value comparison system, an image sensor, an image comparison system, a central control system and a sorting device, wherein the humidity of the garbage to be sorted is detected by the humidity sensor to distinguish dry garbage from wet garbage, the hardness sensor is used for re-identifying, the garbage types are distinguished according to hardness, and harmful garbage in the garbage is separated in an image identification mode, so that the harmful garbage is the most critical.

Description

Intelligent garbage classification system
Technical Field
The invention relates to the field of intelligent testing, in particular to an intelligent garbage classification system.
Background
Garbage classification (Garbage classification) generally refers to a collection of activities that store, place, and transport Garbage according to a certain rule or standard, and then convert the Garbage into public resources. The classification aims to improve the resource value and the economic value of the garbage and strive for making the best use of the garbage. The garbage belongs to the private goods of the public in the classified storage stage, becomes regional quasi-public resources of a community or a community where the public is located after being put in a classified mode by the public, and becomes public resources without exclusivity after being carried to a garbage concentration point or a transfer station in a classified mode. From the viewpoint of methods for classifying domestic garbage in various cities at home and abroad, the domestic garbage is classified according to the components and the production amount of the garbage and by combining the resource utilization and the treatment mode of local garbage. The classified collection of the garbage can reduce the garbage treatment amount and treatment equipment, reduce the treatment cost, reduce the consumption of land resources and have social, economic, ecological and other benefits.
Among the prior art, waste classification generally divide into manual sorting and machine letter sorting, and manual sorting sorts corresponding rubbish through the manpower, and is inefficient, and in the machine letter sorting, often manual operation machine equipment sorts, also judges based on artificial discernment promptly, can not carry out intelligent classification, even adopt intelligent recognition means, its discernment precision is also lower, can't ensure rubbish and carry out the accuracy according to the classification standard and put in.
Disclosure of Invention
Therefore, in order to overcome the above problems, the present invention provides an intelligent garbage classification system, which classifies garbage to be sorted by using a humidity sensor, a signal processing circuit, a hardness sensor, a threshold comparison system, an image sensor, an image comparison system, a central control system and a sorting device, wherein the humidity of the garbage to be sorted is detected by using the humidity sensor to distinguish dry and wet garbage, the hardness sensor is used to distinguish garbage types again, and finally, harmful garbage in the garbage is separated by using an image recognition method, wherein the harmful garbage is the most critical.
The intelligent garbage classification system provided by the invention comprises a humidity sensor, a signal processing circuit, a hardness sensor, a threshold comparison system, an image sensor, an image comparison system, a central control system and a sorting device.
The output end of the humidity sensor is connected with the input end of the signal processing circuit, the output end of the signal processing circuit is connected with the input end of the central control system, the output end of the hardness sensor is connected with the input end of the threshold comparison system, the output end of the threshold comparison system is connected with the input end of the central control system, the output end of the image sensor is connected with the input end of the image comparison system, the output end of the image comparison system is connected with the input end of the central control system, and the output end of the central control system is connected with the input end of the sorting device.
Wherein, during operation, the garbage to be sorted is placed in the containing box, the garbage to be sorted is transmitted to the intelligent garbage sorting system for garbage sorting treatment by the transmission device, the humidity sensor tests the humidity of the garbage to be sorted and transmits the collected humidity signal to the signal processing circuit, the signal processing circuit processes the received humidity signal and transmits the processed humidity signal to the central control system, the central control system places the garbage to be sorted with high humidity in a first containing box according to the received signal, the central control system places the garbage to be sorted with low humidity in a second containing box according to the received signal, and then uses the hardness sensor to test the hardness of the garbage to be sorted in the first containing box and the second containing box and transmits the collected hardness signal to the threshold comparison system, the threshold comparison system is internally stored with a hardness threshold, if the hardness signal received by the threshold comparison system is greater than the hardness threshold, the central control system controls the sorting device to take the garbage to be sorted out of the first storage box or the second storage box and then place the garbage in a third storage box, if the hardness signal received by the threshold comparison system is less than or equal to the hardness threshold, the central control system controls the sorting device to take the garbage to be sorted out of the first storage box or the second storage box and then place the garbage in a fourth storage box, and finally, the image sensor is used for collecting the image information of the garbage to be sorted in the first storage box, the second storage box, the third storage box and the fourth storage box and transmitting the collected image information to the image comparison system, and the image comparison system compares the received image with a standard image stored in the image comparison system, and if the received image is matched with the standard image, the central control system controls the sorting device to place the garbage in a fifth storage box.
Further, the humidity sensor tests the humidity of the garbage to be sorted and transmits a collected humidity signal V0 to the signal processing circuit, and the signal processing circuit comprises capacitors C1-C2, resistors R1-R9 and an operational amplifier A1.
Wherein, the output end of the humidity sensor is connected with one end of the resistor R2, one end of the capacitor C2 is grounded, the other end of the capacitor C2 is connected with the output end of the humidity sensor, one end of the resistor R2 is connected with one end of the resistor R9, the other end of the resistor R9 is connected with the power supply Vcc, one end of the resistor R4 is grounded, the other end of the resistor R4 is connected with the output end of the humidity sensor, the other end of the resistor R4 is connected with one end of the resistor R3, the other end of the resistor R3 is connected with one end of the resistor R8, the other end of the resistor R8 is connected with the power supply Vcc, the output end of the humidity sensor is connected with one end of the resistor R6, the other end of the resistor R6 is connected with one end of the resistor R7, the other end of the resistor R6 is connected with the inverting input end of the operational amplifier A1, the other end of the, the other end of the capacitor C1 is connected with one end of the resistor R1, the other end of the resistor R1 is connected with a power supply Vcc, one end of the resistor R5 is grounded, the other end of the resistor R5 is connected with the other end of the capacitor C1, the other end of the resistor R5 is connected with the non-inverting input end of the operational amplifier A1, the output electric signal of the operational amplifier A1 is Vout, and the signal processing circuit transmits the electric signal Vout to the central control system.
Further, the image sensor comprises an electrode, a thin film material, a metal back electrode, a first dielectric layer, a second dielectric layer, a crystalline substrate, a base diffusion region, a diffusion region of a source electrode, a gate electrode, a pixel output line, a lead, a driving transistor and a selection transistor.
The image acquisition system is arranged above the crystalline substrate, the metal back electrode is applied to the first dielectric layer, pixels of the image are scanned one by one, and the thin film material is arranged between the metal back electrode and the electrodes.
The crystalline substrate includes a signal receiving node where all photocurrents and leakage currents are collected to form pixel signals of an image, and where all elements are connected.
The pixel transistor structure has a base diffusion region formed on the crystalline substrate, a source diffusion region and a gate, wherein the base diffusion region, the source diffusion region and the gate are arranged on the substrate and insulated by a second dielectric layer arranged on one side of the base diffusion region, a lead is arranged in the source diffusion region to lead out the photoelectric charges, the crystalline substrate and the substrate are connected with a signal receiving node, the driving transistor is connected with a supply voltage, the selecting transistor amplifies the signal, and when the selecting signal appears on the gate of the selecting transistor, the image pixel signal of the signal receiving node is transmitted to a pixel output line. The light is incident on the image acquisition system, the light current is generated and is collected by the signal receiving node, on one hand, the leakage current flows from the base diffusion region to the signal receiving node and enters the substrate, and on the other hand, the leakage current of the base diffusion region flows to the diffusion region of the source electrode through the gate.
Further, the thin film material is made of an amorphous material.
Compared with the prior art, the invention has the following beneficial effects:
(1) the invention provides an intelligent garbage classification system, which classifies garbage to be sorted by utilizing a humidity sensor, a signal processing circuit, a hardness sensor, a threshold value comparison system, an image sensor, an image comparison system, a central control system and a sorting device, wherein the humidity of the garbage to be sorted is detected by the humidity sensor to distinguish dry garbage from wet garbage, the hardness sensor is used for re-identifying, the garbage types are distinguished according to hardness, and harmful garbage in the garbage is separated in an image identification mode, so that the harmful garbage is the most critical.
(2) The invention also provides an intelligent garbage classification system, which is characterized in that the image sensor provided by the invention uses a structure acting on a base diffusion region, a diffusion region of a source electrode, a grid electrode, a substrate or other leakage currents surrounding a signal receiving node, and can generate better images due to the reduction of dark current under low illumination intensity.
(3) The invention also provides an intelligent garbage classification system, which is characterized in that the signal processing circuit provided by the invention can filter noise burr signals in humidity signals, has a simple circuit structure, is easy to arrange, and is suitable for the miniaturization and intensive design of the garbage classification system.
Drawings
FIG. 1 is a functional diagram of the intelligent garbage classification system of the present invention;
FIG. 2 is a schematic diagram of a signal processing circuit according to the present invention;
fig. 3 is a schematic diagram of an image sensor of the present invention.
Detailed Description
The intelligent garbage classification system provided by the invention is explained in detail below with reference to the accompanying drawings and embodiments.
As shown in fig. 1, the intelligent garbage classification system includes a humidity sensor, a signal processing circuit, a hardness sensor, a threshold comparison system, an image sensor, an image comparison system, a central control system, and a sorting device.
The output end of the humidity sensor is connected with the input end of the signal processing circuit, the output end of the signal processing circuit is connected with the input end of the central control system, the output end of the hardness sensor is connected with the input end of the threshold comparison system, the output end of the threshold comparison system is connected with the input end of the central control system, the output end of the image sensor is connected with the input end of the image comparison system, the output end of the image comparison system is connected with the input end of the central control system, and the output end of the central control system is connected with the input end of the sorting device.
Wherein, during operation, the garbage to be sorted is placed in the containing box, the garbage to be sorted is transmitted to the intelligent garbage sorting system for garbage sorting treatment by the transmission device, the humidity sensor tests the humidity of the garbage to be sorted and transmits the collected humidity signal to the signal processing circuit, the signal processing circuit processes the received humidity signal and transmits the processed humidity signal to the central control system, the central control system places the garbage to be sorted with high humidity in a first containing box according to the received signal, the central control system places the garbage to be sorted with low humidity in a second containing box according to the received signal, and then uses the hardness sensor to test the hardness of the garbage to be sorted in the first containing box and the second containing box and transmits the collected hardness signal to the threshold comparison system, the threshold comparison system is internally stored with a hardness threshold, if the hardness signal received by the threshold comparison system is greater than the hardness threshold, the central control system controls the sorting device to take the garbage to be sorted out of the first storage box or the second storage box and then place the garbage in a third storage box, if the hardness signal received by the threshold comparison system is less than or equal to the hardness threshold, the central control system controls the sorting device to take the garbage to be sorted out of the first storage box or the second storage box and then place the garbage in a fourth storage box, and finally, the image sensor is used for collecting the image information of the garbage to be sorted in the first storage box, the second storage box, the third storage box and the fourth storage box and transmitting the collected image information to the image comparison system, and the image comparison system compares the received image with a standard image stored in the image comparison system, and if the received image is matched with the standard image, the central control system controls the sorting device to place the garbage in a fifth storage box.
In the above embodiment, the garbage to be sorted is classified by using the humidity sensor, the signal processing circuit, the hardness sensor, the threshold comparison system, the image sensor, the image comparison system, the central control system and the sorting device, wherein the humidity of the garbage to be sorted is detected by using the humidity sensor to distinguish dry and wet garbage, the hardness sensor is used for re-identifying, the garbage types are distinguished according to hardness, and harmful garbage in the garbage is separated by using an image identification mode, so that the harmful garbage is the most critical.
As shown in fig. 2, the humidity sensor tests the humidity of the garbage to be sorted, and transmits a collected humidity signal V0 to the signal processing circuit, and the signal processing circuit includes capacitors C1-C2, resistors R1-R9, and an operational amplifier a 1.
Wherein, the output end of the humidity sensor is connected with one end of the resistor R2, one end of the capacitor C2 is grounded, the other end of the capacitor C2 is connected with the output end of the humidity sensor, one end of the resistor R2 is connected with one end of the resistor R9, the other end of the resistor R9 is connected with the power supply Vcc, one end of the resistor R4 is grounded, the other end of the resistor R4 is connected with the output end of the humidity sensor, the other end of the resistor R4 is connected with one end of the resistor R3, the other end of the resistor R3 is connected with one end of the resistor R8, the other end of the resistor R8 is connected with the power supply Vcc, the output end of the humidity sensor is connected with one end of the resistor R6, the other end of the resistor R6 is connected with one end of the resistor R7, the other end of the resistor R6 is connected with the inverting input end of the operational amplifier A1, the other end of the, the other end of the capacitor C1 is connected with one end of the resistor R1, the other end of the resistor R1 is connected with a power supply Vcc, one end of the resistor R5 is grounded, the other end of the resistor R5 is connected with the other end of the capacitor C1, the other end of the resistor R5 is connected with the non-inverting input end of the operational amplifier A1, the output electric signal of the operational amplifier A1 is Vout, and the signal processing circuit transmits the electric signal Vout to the central control system.
In the above embodiment, the signal processing circuit provided by the invention can filter noise and burr signals in the humidity signal, has a simple circuit structure, is easy to arrange, and is suitable for the miniaturization and intensive design of the garbage classification system.
The present invention provides an image sensor that can produce a better image due to a reduction in dark current at low illumination intensities.
According to the image sensor provided by the invention, the transistors are arranged in a two-dimensional array or one-dimensional array through a CMOS structure, so that the image sensor is used for a substrate with low leakage current, and the precision of image testing can be greatly improved. As shown in fig. 3, the image acquisition system (1) is arranged above the crystalline substrate (2) in the manner shown, a metal back electrode (12) is applied on the first dielectric layer (13), and the pixels of the image are scanned one by one. A thin film material (11) is provided between the metal back electrode (12) and the electrode (10), and preferably, the thin film material (11) is made of an amorphous material.
The crystalline substrate (2) includes a signal receiving node (24) at which all photocurrents and leakage currents are collected to form pixel signals of an image, and at which all elements are connected.
The pixel transistor structure (33) is formed on a crystalline substrate (2) and includes a base diffusion region (21), a source diffusion region (21 a) and a gate (22), the base diffusion region (21), the source diffusion region (21 a) and the gate (22) are disposed on a substrate (20), and is insulated by a second dielectric layer (32) arranged on one side of the base diffusion region (21), a conductive line (23) is provided in the diffusion region (21 a) of the source to extract the photo-charges, the crystalline substrate (2) and the substrate (20) are connected to a signal receiving node (24), the driving transistor (25) is connected to a supply voltage (29), the selection transistor (26) amplifies the signal, and when the selection signal appears at the gate (27) of the selection transistor (26), whereby image pixel signals from the receiving node (24) are applied to the pixel output line (28). If light (14) is incident on the image acquisition system (1), it will generate a photocurrent (15) and be collected by the signal receiving node (24). In addition to the photocurrent, all leakage currents not related to illumination, i.e. the above-mentioned dark currents, can also be collected, including leakage currents occurring on the crystalline substrate (2) in addition to the thin-film system leakage currents (16). On the one hand, the leakage current (31) flows from the base diffusion region (21) to the signal receiving node (24) and into the substrate (20), and on the other hand, the leakage current (30) of the base diffusion region (21) flows to the source diffusion region (21 a) through the gate (22).
The image sensor provided by the invention uses a structure of a leakage current acting on a base diffusion region (21), a diffusion region (21 a) of a source electrode, a grid electrode (22), a substrate (20) or other surrounding signal receiving nodes (24), and can generate better images due to the reduction of dark current under low illumination intensity.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention and are not limited. Although the present invention has been described in detail with reference to the embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the spirit and scope of the invention as defined in the appended claims.

Claims (4)

1. An intelligent garbage classification system is characterized by comprising a humidity sensor, a signal processing circuit, a hardness sensor, a threshold comparison system, an image sensor, an image comparison system, a central control system and a sorting device; the output end of the humidity sensor is connected with the input end of the signal processing circuit, the output end of the signal processing circuit is connected with the input end of the central control system, the output end of the hardness sensor is connected with the input end of the threshold comparison system, the output end of the threshold comparison system is connected with the input end of the central control system, the output end of the image sensor is connected with the input end of the image comparison system, the output end of the image comparison system is connected with the input end of the central control system, and the output end of the central control system is connected with the input end of the sorting device;
wherein, during operation, the garbage to be sorted is placed in the containing box, the garbage to be sorted is transmitted to the intelligent garbage sorting system for garbage sorting treatment by the transmission device, the humidity sensor tests the humidity of the garbage to be sorted and transmits the collected humidity signal to the signal processing circuit, the signal processing circuit processes the received humidity signal and transmits the processed humidity signal to the central control system, the central control system places the garbage to be sorted with high humidity in a first containing box according to the received signal, the central control system places the garbage to be sorted with low humidity in a second containing box according to the received signal, and then uses the hardness sensor to test the hardness of the garbage to be sorted in the first containing box and the second containing box and transmits the collected hardness signal to the threshold comparison system, the threshold comparison system is internally stored with a hardness threshold, if the hardness signal received by the threshold comparison system is greater than the hardness threshold, the central control system controls the sorting device to take the garbage to be sorted out of the first storage box or the second storage box and then place the garbage in a third storage box, if the hardness signal received by the threshold comparison system is less than or equal to the hardness threshold, the central control system controls the sorting device to take the garbage to be sorted out of the first storage box or the second storage box and then place the garbage in a fourth storage box, and finally, the image sensor is used for collecting the image information of the garbage to be sorted in the first storage box, the second storage box, the third storage box and the fourth storage box and transmitting the collected image information to the image comparison system, and the image comparison system compares the received image with a standard image stored in the image comparison system, and if the received image is matched with the standard image, the central control system controls the sorting device to place the garbage in a fifth storage box.
2. The intelligent garbage classification system according to claim 1, wherein the humidity sensor tests the humidity of the garbage to be sorted and transmits a collected humidity signal V0 to the signal processing circuit, and the signal processing circuit comprises capacitors C1-C2, resistors R1-R9 and an operational amplifier a 1; wherein, the output end of the humidity sensor is connected with one end of the resistor R2, one end of the capacitor C2 is grounded, the other end of the capacitor C2 is connected with the output end of the humidity sensor, one end of the resistor R2 is connected with one end of the resistor R9, the other end of the resistor R9 is connected with the power supply Vcc, one end of the resistor R4 is grounded, the other end of the resistor R4 is connected with the output end of the humidity sensor, the other end of the resistor R4 is connected with one end of the resistor R3, the other end of the resistor R3 is connected with one end of the resistor R8, the other end of the resistor R8 is connected with the power supply Vcc, the output end of the humidity sensor is connected with one end of the resistor R6, the other end of the resistor R6 is connected with one end of the resistor R7, the other end of the resistor R6 is connected with the inverting input end of the operational amplifier A1, the other end of the, the other end of the capacitor C1 is connected with one end of the resistor R1, the other end of the resistor R1 is connected with a power supply Vcc, one end of the resistor R5 is grounded, the other end of the resistor R5 is connected with the other end of the capacitor C1, the other end of the resistor R5 is connected with the non-inverting input end of the operational amplifier A1, the output electric signal of the operational amplifier A1 is Vout, and the signal processing circuit transmits the electric signal Vout to the central control system.
3. The intelligent garbage classification system according to claim 1, wherein the image sensor comprises an electrode (10), a thin film material (11), a metal back electrode (12), a first dielectric layer (13), a second dielectric layer (32), a crystalline substrate (2), a base diffusion region (21), a diffusion region of a source (21 a), a gate electrode (22), a pixel output line (28), a wire (23), a driving transistor (25), and a selection transistor (26);
the image acquisition system (1) is arranged above the crystalline substrate (2), the metal back electrode (12) is applied to the first dielectric layer (13) and scans pixels of an image one by one, and the thin film material (11) is arranged between the metal back electrode (12) and the electrode (10);
the crystalline substrate (2) comprises a signal receiving node (24) at which all photocurrents and leakage currents are collected to form pixel signals of an image and at which all elements are connected;
the pixel transistor structure (33) is formed on the crystalline substrate (2) and comprises a base diffusion region (21), a source diffusion region (21 a) and a gate (22), wherein the base diffusion region (21), the source diffusion region (21 a) and the gate (22) are arranged on the substrate (20), and is insulated by a second dielectric layer (32) arranged on one side of the base diffusion region (21), a conductive line (23) is provided in the diffusion region (21 a) of the source to extract the photo-charges, the crystalline substrate (2) and the substrate (20) are connected to a signal receiving node (24), the driving transistor (25) is connected to a supply voltage (29), the selection transistor (26) amplifies the signal, and when the selection signal appears at the gate (27) of the selection transistor (26), whereby image pixel signals from the signal receiving node (24) are received on the pixel output line (28); the light (14) is incident on the image acquisition system (1) which generates a photocurrent (15) and is collected by the signal receiving node (24), and a leakage current (31) flows from the base diffusion region (21) to the signal receiving node (24) and into the substrate (20), and a leakage current (30) of the base diffusion region (21) flows through the gate (22) to the diffusion region (21 a) of the source.
4. The intelligent garbage classification system according to claim 3, characterized in that the thin film material (11) is made of amorphous material.
CN202010839406.4A 2020-08-19 2020-08-19 Intelligent garbage classification system Withdrawn CN111992516A (en)

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