A real-time image recognition system usinga holographic memory and a microelectromechanical system (MEMS)

近年来，在自动驾驶汽车和机器人中，对上级人眼的高速图像识别的需求一直在增加。然而，为了快速识别大量图像，这种系统需要从存储器中动态地读出许多模板图像。然后必须将它们快速发送到处理器。由于存储器和处理器之间的传输速度的瓶颈，实现这种高速实时图像识别操作是困难的。因此，为了改善瓶颈，一个动态可重构的视觉架构，使用微机电系统（MEMS），激光阵列，全息存储器，和超大规模集成电路已被开发和其性能已被证明。

Recently, for use in autonomous vehicles and robots, demand has been increasing for high-speed image recognition that is superior to that of the human eye. However, to recognize numerous images quickly, such system requires many template images to be read out dynamically from memory. They must then be sent to a processor quickly. Realizing such high-speed real-time image recognition operation is difficult because of the bottleneck of transfer speed between the memory and the processor. Therefore, to improve the bottleneck, a dynamically reconfigurable vision architecture using a Micro Electro Mechanical Systems (MEMS), a laser array, a holographic memory, and a VLSI has been developed and its performance has been demonstrated.