A detection spoon and identification system for industrial feeding auxiliary identification

Abstract

An industrial feeding auxiliary identification detection spoon and identification system, including a spoon head (1), a spoon handle (7), an optical detection assembly, a tempered glass transparent plate (2), an electrical detection assembly, a control mainboard and a communication module (6) and a loudspeaker (9). The optical detection assembly includes a camera (3) and a ring-shaped light supplement lamp group (4), and the electrical detection assembly includes a copper column (5). When the raw material covers the tempered glass transparent plate (2) and blocks the ambient light, the optical photographing and resistance detection are automatically triggered, the data is uploaded and identified, and the results are broadcast by the loudspeaker (9). The problem of manual feeding relying on naked eye identification is solved, and the structure conforms to the operation habit of workers.

Description

Technical Field

[0001] This invention relates to the field of industrial automated feeding equipment technology, specifically to an industrial feeding detection spoon with visual and electrical detection functions and a matching identification system. Background Technology

[0002] Currently, in industrial manufacturing processes, the raw material loading stage relies heavily on workers' visual inspection and experience to identify the types of raw materials. This has several drawbacks: raw materials with similar appearances are easily confused, leading to a high error rate in manual identification; incorrect material loading can result in batch scrapping or equipment damage; and existing automated sorting equipment is bulky and costly, making it unsuitable for small-batch, multi-variety manual loading scenarios. Therefore, there is an urgent need for an auxiliary detection tool that is simple in structure, easy for workers to use by hand, and can identify the types of raw materials in real time during loading. Summary of the Invention

[0003] The technical problem to be solved is to provide a detection spoon for industrial material feeding and identification, which can automatically collect images and electrical parameters when picking up raw materials, compare them with a preset database, and then announce the name of the raw material or issue an alarm, thereby reducing the error rate of manual identification.

[0004] Technical solution: A detection spoon for industrial feeding auxiliary identification, including a spoon head (1), a spoon handle (7), an optical detection component, a tempered glass transparent plate (2), an electrical detection component, a control motherboard and a communication module (6) and a speaker (9); The spoon head (1) has a concave cavity for holding raw materials; The spoon handle (7) is connected to one side of the spoon head (1); The optical detection assembly is located at the bottom of the spoon head (1) and includes a camera (3) facing the cavity and a ring light assembly (4). The tempered glass transparent plate (2) is sealed above the optical detection component, thereby isolating the cavity from the optical detection component; The electrical detection assembly includes at least one pair of copper pillars (5), which penetrate the tempered glass transparent plate (2) and are exposed in the cavity for contacting the raw material and detecting electrical parameters; The control motherboard and communication module (6) are located inside the spoon handle (7) and are electrically connected to the camera (3), the ring light group (4) and the copper column (5) respectively. They are configured to: when the light intensity in the cavity is lower than a preset threshold, control the ring light group (4) to illuminate with a predetermined spectrum and control the camera (3) to collect raw material images, while acquiring the electrical parameters measured by the copper column (5), and uploading the image data and electrical parameters to an external recognition terminal; The speaker (9) is electrically connected to the control motherboard and the communication module (6) and is used to broadcast the recognition results.

[0005] Beneficial effects: This detection spoon combines optical image recognition with resistance detection to achieve dual-modal recognition of raw materials, significantly improving recognition accuracy and effectively avoiding human error caused by similar-looking raw materials. Furthermore, its spoon-shaped structure conforms to workers' existing operating habits, requiring no changes to the existing production line layout and facilitating widespread application. Attached Figure Description

[0006] Figure 1 This is a schematic diagram of the overall structure of the detection spoon provided in an embodiment of the present invention; Figure 2 This is a schematic cross-sectional view of the bottom of the spoon head provided in an embodiment of the present invention; Figure 3 A system architecture block diagram provided for embodiments of the present invention; Detailed Implementation Example

[0007] Reference Figures 1 to 3 As shown, this embodiment provides an industrial feeding auxiliary identification detection spoon, including a spoon head (1), a spoon handle (7), an optical detection component, a tempered glass transparent plate (2), an electrical detection component, a control motherboard and a communication module (6) and a speaker (9).

[0008] Spoon head structure The spoon head (1) has an arc-shaped concave cavity structure, used to hold the raw material to be tested. Figure 2 As shown, a mounting groove is provided on the inner side of the bottom of the spoon head (1), and a camera (3) and a ring light assembly (4) are arranged sequentially from bottom to top in the mounting groove. The top of the mounting groove is covered with a tempered glass transparent plate (2), the upper surface of which is flush with the bottom surface of the inner wall of the spoon head (1), which is used to seal and protect the camera (3) and the ring light assembly (4) below, while allowing light to pass through.

[0009] Optical inspection components The optical detection component includes a camera (3) and a ring-shaped fill light assembly (4). The camera (3) is fixed at the center of the bottom of the mounting slot with the lens facing upward, and is used to capture surface images of the raw materials inside the spoon head (1). The ring-shaped fill light assembly (4) is arranged around the outer periphery of the camera (3) and includes several LED beads, which can emit illumination light of a predetermined spectrum to form differentiated reflection characteristics on the surfaces of different raw materials.

[0010] Electrical detection components The electrical detection component includes at least one pair of copper pillars (5), which penetrate the tempered glass transparent plate (2) and protrude upward from the bottom surface of the inner wall of the spoon head (1) for direct contact with the raw material when it is filled with material, and to measure the resistance value of the raw material.

[0011] Control motherboard and communication module Reference Figure 1 and Figure 3 As shown, the spoon handle (7) encapsulates a control motherboard and a communication module (6), which integrate a microprocessor unit and a wireless communication module. The control motherboard and communication module (6) are electrically connected to the camera (3), the ring fill light group (4), and the copper pillar (5) via a flexible ribbon cable.

[0012] The microprocessor unit is configured to: when the light intensity of the inner cavity of the spoon head (1) is detected to be lower than a preset threshold (i.e., when the raw material is covered by a tempered glass transparent plate to block the ambient light), automatically trigger the ring light group (4) to illuminate with a predetermined spectrum, and control the camera (3) to collect the raw material image, while reading the resistance value measured by the copper column (5).

[0013] speaker The spoon handle (7) is equipped with a speaker (9) at its tail. The speaker (9) is electrically connected to the control motherboard and the communication module (6) and is used to broadcast the recognition results.

[0014] Power module The spoon handle (7) is also equipped with a battery and charging management circuit (8) to supply power to each electrical component.

[0015] Workflow Combination Figure 3 As shown, the working process of this detection spoon is as follows:

[0016] Step 1: Raw material coverage trigger The worker holds a spoon handle (7) and uses the spoon head (1) to scoop up the raw material, so that the raw material covers the upper surface of the tempered glass transparent plate (2). The raw material blocks the ambient light, and the light intensity inside the spoon head (1) drops below a preset threshold. The control motherboard and communication module (6) detect this change in light intensity.

[0017] Step 2: Dual-modal data acquisition After the control motherboard and communication module (6) detect that the light intensity is lower than the preset threshold, they automatically trigger the ring light group (4) to illuminate with a predetermined spectrum, and at the same time control the camera (3) to collect the image of the raw material surface; at the same time, the control motherboard and communication module (6) read the raw material resistance value measured by the copper column (5).

[0018] Data upload and cloud recognition The control motherboard and communication module (6) upload the collected image data and resistance values ​​to the host computer AI recognition system through the wireless communication module; the host computer AI recognition system extracts features from the image and compares them with the raw material images in the pre-stored database, while matching the resistance values ​​with the preset resistance threshold range to comprehensively determine the type of raw material.

[0019] Result feedback and voice broadcast The host computer sends the identification results back to the control motherboard and communication module (6); the control motherboard and communication module (6) control the speaker (9) to broadcast the raw material name (such as "Raw Material A") or error alarm (such as "Raw material error, please check") according to the identification results.

Claims

1. A detection spoon for industrial material feeding and identification, characterized in that, include: The spoon head (1) has a concave cavity for holding raw materials; A spoon handle (7) is attached to one side of the spoon head (1); An optical detection assembly is located at the bottom of the spoon head (1) and includes a camera (3) facing the cavity and a ring light assembly (4). A tempered glass transparent plate (2) is placed over the optical detection assembly to isolate the cavity from the optical detection assembly; An electrical detection assembly includes at least one pair of copper pillars (5) that penetrate the tempered glass transparent plate (2) and are exposed within the cavity for contacting raw materials and detecting electrical parameters; The control motherboard and communication module (6) are located inside the spoon handle (7) and are electrically connected to the camera (3), the ring light group (4) and the copper column (5) respectively. They are configured to: when the light intensity in the cavity is lower than a preset threshold, control the ring light group (4) to illuminate with a predetermined spectrum and control the camera (3) to collect raw material images, while acquiring the electrical parameters measured by the copper column (5), and uploading the image data and electrical parameters to an external recognition terminal; and The speaker (9) is electrically connected to the control motherboard and the communication module (6) and is used to broadcast the recognition results.

2. The detection spoon according to claim 1, characterized in that, The ring-shaped fill light group (4) consists of multiple LED beads arranged around the outer periphery of the camera (3).

3. The detection spoon according to claim 1, characterized in that, The copper pillars (5) are a pair, and the distance between the two copper pillars is set so that they are in contact with the raw materials when they are filled.

4. The detection spoon according to claim 1, characterized in that, The upper surface of the tempered glass transparent plate (2) is flush with the bottom surface of the inner wall of the spoon head (1).

5. The detection spoon according to claim 1, characterized in that, The control motherboard and communication module (6) are also connected to a light intensity sensor for detecting the ambient light intensity inside the cavity.

6. The detection spoon according to claim 1, characterized in that, The communication module is either a Wi-Fi module or a Bluetooth module.

7. The detection spoon according to claim 1, characterized in that, The spoon handle (7) is also equipped with a battery and charging management circuit (8) to supply power to each electrical component.

8. A method for identifying raw materials used in industrial feeding, employing a detection spoon as described in any one of claims 1 to 7, characterized in that... Includes the following steps: S1. Scoop up the raw material to cover the upper surface of the tempered glass transparent plate (2); S2. Detect the ambient light intensity inside the cavity. If it is lower than the preset threshold, turn on the ring light group (4) and illuminate with a predetermined spectrum. S3. Acquire images of the raw materials through the camera (3) and detect the electrical parameters of the raw materials through the copper column (5); S4. The image data and electrical parameters are uploaded to an external identification terminal for comparison and identification through the control motherboard and communication module (6); S5. Control the speaker (9) to broadcast the raw material name or error alarm based on the identification result.

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