Image acquisition control method and device based on FPGA

Abstract

The invention discloses an image acquisition control method and device based on an FPGA. The method comprises the following steps: receiving a configuration command, wherein the configuration commandcomprises a camera type parameter and a camera configuration parameter; identifying camera types of a plurality of cameras accessed to the system, acquiring cameras matched with the camera type parameters contained in the configuration command according to the identified camera types of the plurality of cameras, and establishing connection with the cameras; reading an XML file of the camera, and searching for a register address of a to-be-configured command of the camera according to the camera configuration parameters; and converting the camera configuration parameters and the register address into a control command packet, configuring the camera according to the control command packet, triggering the camera to perform image acquisition, and receiving an acquired image. When a plurality of cameras are used at the same time, hardware and software control is simpler and more convenient.

Description

technical field [0001] The invention belongs to the technical field of defect detection, and more specifically relates to an FPGA-based image acquisition control method and device. Background technique [0002] In panel automatic optical inspection (Automated Optical Inspection, AOI), the types of defects mainly include dirty foreign matter, white spots, scratches, scratches, and dander. Different types of defects have different imaging characteristics, so it is necessary to use a specific image acquisition scheme to effectively collect images of all these defects, and send the collected images to image analysis software for corresponding detection. [0003] The existing image acquisition system structure is as follows: figure 1 As shown, four Gige Vision interface cameras are driven by a 4-port network card. As the size of the panel increases and the resolution increases, the number of cameras required in the image acquisition system increases sharply, and the resolution ...

AI Technical Summary

Problems solved by technology

When the number of cameras is further increased, network cards need to be added, the system cost is high, and the host computer software needs to control two network cards to capture images at the same time, the control is more complicated

In addition, due to the different control methods of cameras produced by different manufacturers, the software needs to be adapted to the SDK development tools of cameras of different manufacturers, which makes software development difficult and is not conducive to later system upgrades and maintenance

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