Shift up to 99% in computing load on cloud servers to edge devices!
Free up to 85% bandwidth usage
Unlock your full potential. Serve up to 100x more customers
Lower Construction costs at both edge & cloud end
Traditional Methods of Data Transmission comprises of two ways. The first method is where AI features are transmitted from edge devices to the cloud for end-processing. The latter involves processing some fixed features at the edge and then sent to the cloud for storage. This means increased costs as organsiations processes a lot of data wishes to add more AI models.
IRIS's proposed method involves installing low-cost embedded components at your edge device and software optimisation at your cloud server. This allows your organisation to benefit for a flexible form of data transmission, transferring computing load , reducing bandwidth , improved security and allow your organisation to process more for less !
Team IRIS is part of the LLP programme from 18 May to 30 July 2020. The Lean Launchpad Programme (LLP) conducted by NUS Enterprise focuses on helping research teams and aspiring entrepreneurs take their technologies to market by sending them out to do market validation through customer discovery interviews.
A PhD candidate in Computer Science at Nanyang Technological University. Chen Zhuo is experienced in the field of image recognition and IC design.