4.6 Article

Adaptive Buffer Capture and Storage for High-Speed Cameras

期刊

IEEE ACCESS
卷 11, 期 -, 页码 14550-14562

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2022.3232720

关键词

Cameras; Protocols; Heuristic algorithms; Data models; Random access memory; Operating systems; Storage automation; High-speed camera; buffer; data storage

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This paper proposes a high-speed video adaptive transmission and storage method based on the camera link transmission protocol, which addresses the problems of data overflow and frame loss during transmission and storage. By utilizing adaptive memory buffer pool and adaptive hard disk buffer, the method achieves efficient and stable writing of data. The experimental results demonstrate its broad application value in high-precision vision measurement systems.
The output speed of a high-resolution camera with a fast frame rate is high, reaching 800 MB/s or even more. Consequently, the abundant data recorded can easily cause data overflow during transmission and frame loss during storage. To address this problem of data overflow and frame loss while achieving reliable acquisition rates, herein, we design a high-speed video adaptive transmission and storage method based on the camera link transmission protocol. The system uses the camera link transmission protocol and high-speed cameras for data acquisition. During data transmission, memory space is employed as the data buffer pool, an adaptive memory buffer pool is designed using the hardware and acquisition parameters, and a circular read/write buffer, combined with a block device read/write method, is used inside the buffer pool for data transmission. For data storage, input/output completion port asynchronous storage mixed with frame sequence number filtering is employed to write data, and the adaptive buffer of the hard disk is used to achieve efficient data writing. The experimental results reveal that the proposed method can realize efficient and stable writing of data on conventional industrial cameras based on the camera link interface, effectively addressing the problem of frame loss during data storage. Moreover, the stored data can be transferred efficiently with less resource occupation, thereby meeting the application requirements of high-precision vision measurement systems and demonstrating broad application value.

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