Bio-Inspired Artificial Vision and Neuromorphic Image Processing Devices

Remarkable technological developments for efficient image recognition (i.e., image acquisition and image data processing) have been reported in the past decade. Such advances in imaging and image processing technologies have driven significant progress in mobile electronics and machine vision applications. In particular, for image acquisition devices, two types of natural eyes (i.e., chambered and compound eyes) have inspired the development of novel multifunctional imaging devices with unique optical geometries. For image data processing devices, novel computing devices based on memristor crossbar arrays, such as electronic synapses, have been developed. More recently, the integration of imaging and image processing devices in a single unit further enhances the system-level efficiency. Herein, such recent advances in the bio-inspired artificial vision and neuromorphic image processing devices, aimed at providing efficient image recognition, are reviewed. First, various imaging devices inspired by the structural and functional features of natural eyes are introduced. Second, artificial synapses and their operation principles are thoroughly discussed. Third, the neuromorphic vision sensor that integrates the imaging and image processing devices is reviewed. Finally, a brief summary and future outlook are presented.

Automated summary

Significant progress has been made in image recognition technology in recent years, particularly in the areas of imaging and image processing. Various imaging devices inspired by the structure and functional features of natural eyes have been developed, as well as new computing devices based on memristor crossbar arrays. Integrating imaging and image processing devices into a single unit can further enhance system-level efficiency.