From "mISSION: IMPOSSIBLE" to mission possible: Fully flexible intelligent contact lens for image classification with analog-to-information processing

A prototype of fully flexible intelligent contact lens, which are shown in the impressive action movie series of "MISSION: IMPOSSIBLE", has become the Possible Mission in this work. Hereon, the system adopts analog-to-information processing method to build a specific Multi-Layer Perceptron network for image classification tasks with flexible devices and circuits, where the information is extracted from raw data of the sensing analog signal directly. Simulated with HSPICE of Level-62 TFT device model, for standard test image data set of MNIST, the classification accuracy of the presented flexible neural network circuit is up to 92.99%; meanwhile, the classification speed is as fast as 10k fps, and the energy consumption is low to only 15.16μJ. Additionally, for the imperfections of flexible devices of larger devices mismatch and process variations, the fault-tolerance of the system has been evaluated as well, which demonstrates the feasibility of the presented methods and lowers the barrier to integrated all kinds of FLEXIBLE Devices into a FULLY FLEXIBLE Systems with sensors, processing parts and even energy harvesting parts, etc., in the future wearable smart terminals.