Workpiece detection method, device and equipment and storage medium

A workpiece detection and workpiece technology, applied in the field of machine vision detection, can solve the problems of slow processing speed and slow interaction speed between processes, and achieve the effect of improving processing speed and accelerating interaction speed

Pending Publication Date: 2019-09-20
江苏通祐机器人科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the processing speed of current artifact detection methods is slow, resulting in slow interaction between processes.

Method used

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  • Workpiece detection method, device and equipment and storage medium
  • Workpiece detection method, device and equipment and storage medium
  • Workpiece detection method, device and equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0045] figure 1 It is a flow chart of a workpiece detection method provided by Embodiment 1 of the present invention. The technical solution provided by this embodiment is applicable to the situation where a workpiece needs to be detected. The method can be executed by a workpiece detection device, which can be implemented by hardware and / or Or software implementation, the method specifically includes:

[0046] Step 110, storing the original image of the workpiece to be inspected collected by the image collector into the image buffer sub-area to be inspected in the shared buffer area.

[0047] Among them, the image collector is a device responsible for collecting the image of the workpiece; the workpiece to be inspected is the workpiece that needs to be inspected; the original image refers to the unprocessed original result of the workpiece to be inspected obtained through the image collector. The shared cache area is a pre-divided area in the memory provided by the system, w...

Embodiment 2

[0063] figure 2 It is a flow chart of a workpiece detection method provided by Embodiment 2 of the present invention. This embodiment is further refined on the basis of the above-mentioned technical solution. For details not described in detail in this embodiment, refer to Embodiment 1. Such as figure 2 As shown, the method specifically includes:

[0064] Step 210, storing the original image of the standard workpiece captured by the image collector into the standard part image cache sub-area in the shared buffer area.

[0065] Among them, the standard workpiece refers to the template workpiece of the workpiece to be detected, which is the reference workpiece of the workpiece detection tool to be detected; the standard part image cache sub-area is the cache in the shared buffer area that is pre-set to store the original image of the standard part acquired by the image collector Area. The original image of the standard workpiece of the workpiece to be detected is obtained i...

Embodiment 3

[0087] image 3 It is a flow chart of a workpiece detection method provided by Embodiment 3 of the present invention. This embodiment is further refined on the basis of the above-mentioned technical solution. For details that are not described in detail in this embodiment, please refer to the above-mentioned embodiment. Such as image 3 As shown, the method specifically includes:

[0088] Step 310, storing the original image of the workpiece to be inspected collected by the image collector into the image buffer sub-area to be inspected in the shared buffer area.

[0089]Step 320: Encode the original image of the workpiece to be inspected in the image to be inspected buffer sub-area, and write the encoding result into the encoded image buffer sub-area of ​​the shared buffer area.

[0090] Step 330 , selecting the target test tool bitmap from the tool bitmap cache sub-area of ​​the shared buffer area according to the user requirement information.

[0091] Step 340: Using the ...

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Abstract

The embodiment of the invention discloses a workpiece detection method, device and equipment and a storage medium. The method comprises the following steps: storing an original image of a to-be-detected workpiece collected by an image collector into a to-be-detected image cache sub-region in a shared cache region; encoding the original image of the to-be-detected workpiece in the to-be-detected image cache sub-region, and writing an encoding result into the encoded image cache sub-region of the shared cache region; selecting a target test tool bitmap from the tool bitmap cache sub-region of the shared cache region according to the user demand information; using the target test tool bitmap to process the coding result in the coding image cache sub-region to obtain a test result; dividing the shared cache region into a to-be-detected image cache sub-region, an encoded image cache sub-region and a tool bitmap cache sub-region in advance. According to the embodiment of the invention, the workpiece detection method for pre-dividing the shared cache region is realized, the problem of low interaction speed between processes is solved, and the interaction speed between the processes is accelerated.

Description

technical field [0001] The embodiments of the present invention relate to the field of machine vision detection, and in particular, to a workpiece detection method, device, equipment and storage medium. Background technique [0002] Visual inspection has always been an important field of machine vision, and a visual inspection system based on machine vision applied to industrial sites has appeared. Due to its high efficiency, precision, and low cost, it has been applied to many fields in actual industrial production and has a wide range of application scenarios. [0003] At present, in China, the visual inspection system that has been put into production is divided into two types: one is based on the image sensor processing control machine, which collects images through the image sensor and sends them to the industrial control computer, and then completes image processing in the industrial control computer; the other One is based on embedded vision sensor, which is a portab...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T1/60
CPCG06T7/0004G06T1/60Y02P90/30
Inventor 王琰张亮朱光明刘挺
Owner 江苏通祐机器人科技有限公司
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