Research Of Low-Bandwidth Embedded Image Acquisition And Transmission System Based On Compressed Sensing

With the development of embedded technology, more and more intelligent sensor was developed, also the requirement for the sensor is become higher, which makes the sensor needs to transmit more data, especially in image transmission, image information content is complex which exacerbates the hardware node data transmission capacity and energy consumption.Compressive sensing algorithms proposed by Tao Terence and L. Donoho D. and other scientists since 2004. It has changed the traditional way of signal sampling and transmission, it will sampling and compression signal at the same time, effectively improve the efficiency of the signal transmission.But currently, compressed sensing theory is less of practical application, if the compressed sensing theory is applied in intelligent image sensor node that will be effective in reducing the data amount of the image acquisition and transmission, for node hardware can also effectively solve the problem of sensor node power consumption and bandwidth constrained in the process of image transmission.In this paper, we combined compressed sensing algorithm and the embedded technology and the Internet of things technology, with raspberry Pi for embedded hardware development platform, established intelligent image sensor nodes. Established low bandwidth sensor networks through the nRF24L01 module, compressed sensing theory for image acquisition, eventually the image observation value obtained by compressed sensing method upload to the cloud server by the sink node through the 4G mobile network.The sink node also upload picture count to the cloud server.Based on compressed sensing reconstruction algorithm research, and combined with the hardware implementation of the specific requirements, selected the effective image restoration algorithm. Finally, realizes the combination of compressed sensing theory and embedded node.Combining sensor networks and the Internet of Things technology to form a complete set of image acquisition and transmission system.Finally has carried on theactual test, verify the main function.