FPGA-Based Multi-Channel Image Acquisition and Processing System

The deep integration of new-generation information technology and manufacturing is triggering far-reaching industrial changes. Machine vision inspection is widely used in large-scale repetitive industrial production processes. In order to solve the problem of the limited field of view of the machine vision inspection system and the obstruction of the camera view during the inspection process, this article takes the glue dispenser vision inspection system as the project background, and designs a high-performance and low-cost FPGA-based multi-channel image acquisition and transmission system scheme. The system can realize parallel acquisition, decoding, storage, display, and transmission of data from 4 image sensors. The OV5640 is used as the video sensor for video capture, and video data is cached using DDR3 SDRAM and transmitted to the host computer through Gigabit Ethernet communication technology. This thesis utilizes the advantages of FPGA in the field of image processing to perform real-time pipeline operations on video data, solving the limitation of video capture by a single camera and improving the system's real-time performance. Implementing multi-channel image grayscale conversion, filtering, edge detection, and stitching fusion in FPGA.