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Design and implementation of wireless multimedia sensor network node based on FPGA and binocular vision

机译:基于FPGA和双筒视觉的无线多媒体传感器网络节点的设计与实现

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Abstract According to the actual demand of the wireless sensor network for multimedia information acquisition, the new multimedia wireless sensor node is designed and implemented with FPGA as the core and Zigbee wireless communication. On the multimedia nodes, sensors such as binocular camera and accelerometer are configured to realize real-time perception and acquisition of environmental information and image data, and the short distance wireless communication and detection ability is formed through Zigbee protocol. When the test distance is not more than 60?m, the measured data fluctuate around the theoretical curve, and the communication is reliable. When the distance of the node is within the 14?m, the data transmission has no error. In view of the fact that the mismatch rate of the traditional Census transform is high under the condition of accuracy and noise, an improved Census transform stereo matching algorithm is proposed, which is applied to the nodes of multimedia sensor network. The experimental results show that this scheme can realize the data transmission and processing of wireless sensor network nodes and has strong operation capability and visual matching precision while reducing power consumption.
机译:摘要根据无线传感器网络的多媒体信息采集的实际需求,新的多媒体无线传感器节点设计和实现了FPGA作为核心和ZigBee无线通信。在多媒体节点上,诸如双目相机和加速度计的传感器被配置为实现环境信息和图像数据的实时感知和获取,并且通过ZigBee协议形成短距离无线通信和检测能力。当测试距离不大于60Ωm时,测量的数据围绕理论曲线波动,并且通信是可靠的。当节点的距离在14Ω·m内时,数据传输没有错误。鉴于在精度和噪声的条件下传统人口普查变换的不匹配率高,提出了一种改进的人口普查转换立体声匹配算法,其应用于多媒体传感器网络的节点。实验结果表明,该方案可以实现无线传感器网络节点的数据传输和处理,并具有强大的操作能力和可视匹配精度,同时降低功耗。

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