Architecture Explorations of Multi-Channel Surveillance SOC Systems

• Main Authors: Min-Jen Lo, 羅閔仁
• Other Authors: Slo-Li Chu
• Format: Others
• Language: en_US
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/59632483347188555782

博士 === 中原大學 === 電子工程研究所 === 101 === The continuing need for improving safety and security have increased the complexity of modern digital video surveillance systems, which often consist of multiple high-definition cameras, real-time video streaming encoding/decoding, high performance backend streaming server, and a corresponding surveillance network to connect the above devices. Therefore, the methods to accomplish the monitoring and surveillance in the real-time manner become the major challenges of designing a modern digital surveillance system. The above challenges can be partitioned into several aspects. First, the memory subsystem of the backend streaming server must meet the bandwidth requirements of multiple high-definition data streams generated by continuous video captured by multiple video cameras. Second, the performance and efficiency of the streaming interconnection network used in the surveillance system must avoid bandwidth waste during sudden transfers of huge amounts of data produced by multiple activities of the monitored targets. Accordingly, this dissertation proposes several hardware mechanisms to solve the above problems. Firstly, a novel hardware memory management mechanism, Smart Memory Controller, is proposed for dynamically adjusting memory access by multiple video channels according to their actual memory requirements. Secondly, a new hardware administrating module, Smart Surveillance Hub, is proposed for managing the stream transfer of the attached multiple video channels. Notably, the module also adjusts the priorities, occupied bandwidths, and transfer latencies of each video channel to optimize utilization of the surveillance network. It can also make the decisions needed to maintain surveillancing results during a network overload. For rapid modeling, design, and implementation of the above hardware modules, this dissertation also proposes Data-Oriented Design Methodology, a novel hardware design methodology for completing the above design stages in a simple and unified flow. The experimental results of the Smart Memory Controller and Smart Surveillance Hub are discussed. The fabrication results of the above hardware modules are also provided.