IoT-based video capture leveraging edge computing

31st August 2018
Source: NTT DOCOMO
Posted By : Alex Lynn
IoT-based video capture leveraging edge computing

 

It has been announced that NTT DOCOMO (DOCOMO) has commenced a proof-of-concept (PoC) aimed at realising a new video IoT solution that will enable the interpretation and analysis of video data sourced from surveillance cameras using edge computing.

In connection with this initiative, DOCOMO also announced that it has made a strategic investment in Cloudian, a Silicon Valley-based leader in enterprise object storage systems and developer of the Cloudian AI Box, a compact, high-speed AI data processing device equipped with camera connectivity and LTE / WiFi capabilities, facilitating edge AI computing with both indoor and outdoor communications. The investment was made through NTT DOCOMO Ventures, a wholly owned subsidiary of DOCOMO, and both companies plan to promote solutions utilising the new technology.

The solution being evaluated will interpret and analyse video data sourced using edge computing, supplementing processing performed in the cloud to provide superior IoT data processing capabilities. As a first step, the PoC will test and evaluate the sourcing of data from surveillance cameras, aiming to develop a solution that uses existing cameras, requires no wired connectivity and does not involve the transmission of large quantities of data.

The interpretation and analysis of video data from surveillance cameras are expected to be deployed in a wide range of scenarios, such as in general security, quality inspections during manufacturing processes, human presence detection, and marketing initiatives at retail stores.

Until now, the transfer and processing of large volumes of video data to the cloud was a lengthy process involving significant delays and placing a considerable burden on cloud infrastructures and communication networks. The new solution will aim to address these shortcomings and herald a new era of high speed image recognition and processing accelerated by edge computing.


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