NTT DOCOMO to Test IoT-Based High-speed Image Recognition with Edge Computing

7 months ago
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NTT DOCOMO to Test IoT-Based High-speed Image Recognition with Edge Computing Image Credit: jamesteoh/

NTT DOCOMO said it has started a PoC on 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. Both companies plan to promote solutions utilizing the new technology. The solution being evaluated will interpret and analyze 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, says NTT DOCOMO.

Ray is a news editor at The Fast Mode, bringing with him more than 10 years of experience in the wireless industry.

For tips and feedback, email Ray at ray.sharma(at), or reach him on LinkedIn @raysharma10, Facebook @1RaySharma


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