Visual identification detection method based on AGV logistics system

Abstract

The invention discloses a visual identification detection method based on an AGV logistics system. Rapid identification of a logistics package is realized through the following steps: S1, placing the package on an AGV; s2, identifying the appearance feature information of the parcel on the adjacent trolley and the unique identification code of the AGV trolley corresponding to the parcel through a 3D camera arranged on the adjacent AGV trolley; s3, carrying out data exchange with an intelligent storage center through a communication system on the AGV, and transmitting the information obtained in S2 to the intelligent storage center for processing; s4, the intelligent storage center judges the appearance characteristics of the parcel according to the received appearance information, generates a target area instruction according to the appearance characteristics, and returns the instruction to the target trolley uniquely corresponding to the unique identification code of the AGV trolley; s5, the AGV travels to the target area according to the received instruction; and S6, the mechanical arm in the target area automatically grabs the parcels and stacks the parcels to a designated stack. The method has the advantage that the visual identification efficiency is greatly improved.

Description

Technical Field

[0001] The present invention relates to the field of visual recognition, and in particular to a visual recognition detection method based on an AGV logistics system. Background Art

[0002] The application of visual recognition technology in logistics is profoundly changing the industry. Through automation, intelligence, and data-driven approaches, it significantly improves efficiency, accuracy, and safety. This technology has found widespread application in a variety of areas, including, but not limited to, automated inbound and outbound management, intelligent sorting and transportation, warehouse management, and loading and unloading. Existing recognition technologies for warehousing and logistics require fixed-point identification, and identification stations can easily become bottlenecks, significantly limiting improvements in logistics efficiency. Summary of the Invention

[0003] The technical problem to be solved by the present invention is how to improve the visual recognition efficiency in warehousing and logistics. In response to the above technical problem to be solved, a visual recognition detection method based on the AGV logistics system is proposed.

[0004] To achieve the above objectives, the present invention provides the following technical solution: a visual recognition detection method based on an AGV logistics system, which realizes rapid identification of logistics packages through the following steps: S1: Set the number of AGVs running on the same track to at least one, and place the package on the AGV. S2, using a 3D camera installed on an adjacent AGV to identify the appearance characteristics of the package on the adjacent AGV and the unique identification code of the AGV corresponding to the package; S3 exchanges data with the intelligent warehouse center through the communication system on the AGV, and transmits the information obtained in S2 to the intelligent warehouse center for processing; S4: The intelligent warehousing center determines the package's appearance characteristics based on the received appearance information, generates a target area instruction based on the appearance characteristics, and returns the instruction to the target vehicle that uniquely corresponds to the AGV's unique identification code; S5, the AGV drives to the target area according to the received instructions; In S6, the robotic arm in the target area automatically grabs the package and stacks it on the designated stack.

[0005] Furthermore, step S2 may also include a code scanning process, in which the package information is identified by scanning the code on the package.

[0006] Furthermore, the AGV simultaneously scans and identifies other AGVs around it.

[0007] Furthermore, in step S6, the robotic arm automatically recognizes the package code while grabbing the package, and performs simple classification and stacking according to the different target transportation destination information of the package.

[0008] Compared with the prior art, the present invention has the following beneficial effects: The present invention sets a fixed-position 3D recognition vision on the logistics cart, allowing the AGV to identify the package during transportation. After the robotic arm puts down the package, the adjacent cart can understand the characteristics of the package. During the recognition process, the cart can drive away from the stacking area on its own, which can effectively avoid jams in the stacking area and greatly improve logistics efficiency. DETAILED DESCRIPTION

[0009] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0010] This specific embodiment discloses a visual recognition detection method based on an AGV logistics system, which realizes rapid identification of logistics packages through the following steps: S1: Set the number of AGVs running on the same track to at least one, and place the package on the AGV. S2, using a 3D camera installed on an adjacent AGV to identify the appearance characteristics of the package on the adjacent AGV and the unique identification code of the AGV corresponding to the package; S3 exchanges data with the intelligent warehouse center through the communication system on the AGV, and transmits the information obtained in S2 to the intelligent warehouse center for processing; S4: The intelligent warehousing center determines the package's appearance characteristics based on the received appearance information, generates a target area instruction based on the appearance characteristics, and returns the instruction to the target vehicle that uniquely corresponds to the AGV's unique identification code; S5, the AGV drives to the target area according to the received instructions; In S6, the robotic arm in the target area automatically grabs the package and stacks it on the designated stack.

[0011] Furthermore, step S2 may also include a code scanning process, in which the package information is identified by scanning the code on the package.

[0012] Furthermore, the AGV simultaneously scans and identifies other AGVs around it.

[0013] Furthermore, in step S6, the robotic arm automatically recognizes the package code while grabbing the package, and performs simple classification and stacking according to the different target transportation destination information of the package.

[0014] The present invention sets a fixed-position 3D recognition vision on the logistics cart, allowing the AGV to identify the package during transportation. After the robotic arm puts down the package, the adjacent cart can understand the characteristics of the package. During the recognition process, the cart can drive away from the stacking area on its own, which can effectively avoid jams in the stacking area and greatly improve logistics efficiency.

[0015] In the description of the present invention, it should be understood that the terms "coaxial", "bottom", "one end", "top", "middle", "the other end", "upper", "one side", "top", "inside", "front", "center", "both ends", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0016] In the present invention, unless otherwise clearly stipulated and limited, the terms "install", "set", "connect", "fix", "screw" and the like should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integrated connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be the internal connection of two elements or the interaction relationship between two elements. Unless otherwise clearly defined, ordinary technicians in this field can understand the specific meanings of the above terms in the present invention according to the specific circumstances.

[0017] The above description is based on the detailed description of the embodiments of the present invention, but the present invention is not limited to the described embodiments. It is obvious to those skilled in the art that various changes, modifications, substitutions and variations of these embodiments may be made without departing from the principles and spirit of the present invention, and they still fall within the scope of protection of the present invention.

Claims

1. A visual recognition detection method based on an AGV logistics system, characterized in that: The following steps are used to quickly identify logistics packages: S1, set the number of AGVs running on the same track to be no less than 1; S2, using a 3D camera installed on an adjacent AGV to identify the appearance characteristics of the package on the adjacent AGV and the unique identification code of the AGV corresponding to the package; S3 exchanges data with the intelligent warehouse center through the communication system on the AGV, and transmits the information obtained in S2 to the intelligent warehouse center for processing; S4: The intelligent warehousing center determines the package's appearance characteristics based on the received appearance information, generates a target area instruction based on the appearance characteristics, and returns the instruction to the target vehicle that uniquely corresponds to the AGV's unique identification code; S5, the AGV drives to the target area according to the received instructions; In S6, the robotic arm in the target area automatically grabs the package and stacks it on the designated stack.

2. The visual recognition detection method based on the AGV logistics system according to claim 1 is characterized in that: The step S2 may also include a code scanning process, in which the package information is identified by scanning the code on the package.

3. The visual recognition detection method based on the AGV logistics system according to claim 1 is characterized in that: The AGV car simultaneously scans and identifies other AGV cars around the car.

4. The visual recognition detection method based on the AGV logistics system according to claim 1 is characterized in that: In step S6, the robotic arm automatically recognizes the parcel code while grabbing the parcel, and performs simple classification and stacking according to the different target transportation destination information of the parcel.