Due to technology advancement, smart visual sensing required in terms of data transfer capacity, energy-efficiency, security, and computational-efficiency. The high-quality image transmission in visual sensor networks (VSNs) consumes more space, energy, transmission delay which may experience the various security threats. Image compression is a key phase of visual sensing systems that needs to be effective. This motivates us to propose a fast and efficient intelligent image transmission module to achieve the energy-efficiency, minimum delay, and bandwidth utilization. Compressive sensing (CS) introduced to speedily compressed the image to reduces the consumption of energy, time minimization, and efficient bandwidth utilization. However, CS cannot achieve security against the different kinds of threats. Several methods introduced since the last decade to address the security challenges in the CS domain, but efficiency is a key requirement considering the intelligent manufacturing of VSNs. Furthermore, the random variables selected for the CS having the problem of recovering the image quality due to the accumulation of noise. Thus concerning the above challenges, this paper introduced a novel one-way image transmission module in multiple input multiple output that provides secure and energy-efficient with the CS model. The secured transmission in the CS domain proposed using the security matrix which is called a compressed secured matrix and perfect reconstruction with the random matrix measurement in the CS. Experimental results outwards that the intelligent module provides energy-efficient, secured transmission with low computational time as well as a reduced bit error rate.

由于技术的进步，在数据传输容量，能效，安全性和计算效率方面需要智能视觉传感。视觉传感器网络（VSN）中的高质量图像传输会消耗更多的空间，能量和传输延迟，这可能会遇到各种安全威胁。图像压缩是视觉传感系统的关键阶段，需要有效。这促使我们提出一种快速高效的智能图像传输模块，以实现节能，最小延迟和带宽利用率。引入压缩感测（CS）以快速压缩图像，以减少能量消耗，时间最小化和有效带宽利用。但是，CS无法针对各种威胁实现安全性。自上个十年以来，为了解决CS领域的安全挑战，引入了几种方法，但是考虑到VSN的智能制造，效率是关键要求。此外，为CS选择的随机变量由于噪声的累积而具有恢复图像质量的问题。因此，针对上述挑战，本文介绍了一种新颖的多输入多输出单向图像传输模块，该模块通过CS模型提供了安全且节能的设计。CS域中的安全传输建议使用称为压缩安全矩阵的安全矩阵，并通过CS中的随机矩阵测量进行完美重构。外部的实验结果表明，智能模块可提供高能效，