Apparatus and method for reducing computing and transmission latency in cloud-based eye tracking systems

Systems and methods are provided for cloud-based eye tracking with reduced computing and network overhead. Computational latency is reduced by isolating eye regions within a facial image and transmitting it to a remote server for further image processing. Transmission latency is reduced by identifying available servers on a network, assigning a transmission latency value to each server based on various attributes, and actively selecting a server with the lowest transmission latency. 提供用于具有减少的计算和网络开销的基于云的眼睛跟踪的系统和方法。通过隔离面部图像内的眼区且将其传输到远程服务器以进行进一步图像处理来减少计算时延。通过识别网络上的可用服务器，基于各种属性将传输时延值分配到每一服务器，且主动选择具有最低传输时延的服务器来减少传输时延。