Intelligent camouflage pattern generating in internet of things

Abstract

Artificial Internet of Things (AIoT) has facilitated many aspects of people's daily lives and greatly promoted the development of military technology. Due to the rapid development of multiple Internet of Things (IoT) devices. The application of AIoT to daily lives and military come true. In our AIoT system, the key part is artificial camouflage pattern generating. In this paper, a new method for generating the camouflage pattern is proposed. In our algorithm, the loss function is designed based on the statistic information of nearby surroundings and traditional camouflage pattern. The statistic information is extracted from the feature maps of convolution neural network. The new camouflage pattern is synthesized by minimize the loss function. A color mapping method is designed. This color mapping method is design for the color mapped from the background to the camouflage pattern. Our method is more flexible than traditional methods and can integrate better with the surrounding environment. Experiments show that this method can effectively generate camouflage patterns similar with background in textures and colors. Besides, our method can well save the texture of traditional artificial designed camouflage pattern.