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IPBC Asia 2016 @Shanghai, China

December 4-6, 2016 | Event

Panasonic R&D Center Singapore-IPG attended the IPBC Asia (held in Shanghai on December 4-6, 2016), which is one of the leading events in the IP industry. IPBC Asia attracted top IP executives of global companies to gather and take center stage to discuss issues about the global IP development with a focus on how IP owners can strategically utilize their IP assets, especially in Asia. Same as last year, this year too, Panasonic was honoured as one of the “Asia IP Elites” for successful drive in creating IP value through many IP monetization and licensing deals concluded in the past year. It is an award that heralds Panasonic’s success in leveraging the patents as a strategic business asset.

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IP Week @ SG 2016

The Intellectual Property Group (IPG) of Panasonic R&D Center Singapore (PRDCSG) participated, as one of the exhibitors, in IP Ecosystem…

The ITS Summit Singapore 2017 @Marina Bay Sands

Panasonic R&D Center Singapore partook in a 2-day Intelligent Transportation Society (ITS) Summit Singapore 2017, which attracted more than 300 delegates, industry partners and speakers from the Asia Pacific countries. At this summit, we showcased our initiatives in autonomous automotive technologies and solutions as well as our efforts to accelerate Singapore’s Autonomous Vehicle landscape.

Panasonic R&D Center Singapore Achieves No. 1 Accuracy of Face Recognition on the IJB-C Dataset

Panasonic R&D Center Singapore achieved the Best Accuracy of Face Recognition on the IJB-C dataset under three different protocols, namely 1:1 mixed verification, 1:N mixed identification and 1:1 covariate verification.

Panasonic R&D Center Singapore Achieving the World’s Top Best Accuracy for Face Recognition

In collaboration with the National University of Singapore (NUS) and the Innovation Center of Connected Solutions of Panasonic Corporation, Panasonic R&D Center Singapore has recently developed face recognition technology that has achieved the world’s Top Best Accuracy for Face Recognition by benchmarking the dataset covering all the conditions taken in the surveillance market, the dataset of which is provided by the National Institute of Standards and Technology (NIST).