NICE Alliance’s Cloud Services to be Powered by Microsoft Azure

Network of Intelligent Camera Ecosystem (NICE) Alliance publishes V1.0 specification for manufacturing adopters and application developers and chooses Microsoft Azure for the implementation of its cloud services

PALO ALTO, CA, May 23, 2019NICE Alliance has chosen Microsoft Azure to build NICE Cloud Services that will be offered to NICE adopters, 3rd party application and service developers, and end-users. The implementation of NICE Cloud Services will incorporatMicrosoft’s Azure Media Services, Azure Storage, Azure Cognitive Services, Azure IoT, and many other Azure services.

“Microsoft is widely recognized as one of the most important and largest cloud providers in the world,” said David Lee, CEO of Scenera, Inc. “Azure will provide a robust platform for the development of NICE Cloud Services, which is crucial to enable the accelerated adoption of NICE compliance cameras and 3rd party apps and services to integrate IP cameras and IoT devices, aiming to transform the smart camera market.”

By building NICE Cloud Services on the Azure platform, NICE will be able to simplify the development and adaptation of a real-time distributed AI ecosystem consisting of intelligent cameras and intelligent cloud services. “Microsoft is pleased that the NICE Alliance has selected the Azure platform as the basis for realizing the NICE vision of offering real-time video analytics solutions”, said Jason Hogg, Principal PM Manager of Microsoft Azure. “NICE specifications are looking to tackle challenging concepts associated with digital cameras and the intelligent edge, with a view to simplifying application development and big data analytics associated with a live video data pipeline in multiple industries.  Azure Media Services provides the ideal platform for NICE to build an implementation of that pipeline.”

Industry leading consumer electronics manufacturers and brands Foxconn, Nikon, Scenera, Sony Semiconductor Solutions, and Wistron formed the NICE Alliance, an innovative ecosystem standard for smart camera markets, to provide an open data sharing platform based on video/image and AI to enhance the synergistic effect of multi-brand, multi-camera and multi-service/apps. NICE Alliance believes that its specification will enable entirely new classes of video applications including those where private media never leave the sensor, providing enhanced privacy and security.

NICE Alliance continues to develop its infrastructure and establish guidelines for the ecosystem, which will be open for all companies and interest groups who would like to participate in contributing and adopting the specifications. NICE Specification V1.0 can be found here: www.nicealliance.org/specs.

ABOUT SCENERA

Scenera is forging a new standard for the surveillance and IP camera market with imaging solution providers. The visionary founders see the paradigm shift from color-rich images to rich scene information that enables new and powerful capabilities. Standard compliant smart cameras generate abundant image information for surveillance applications such as object recognition and detection, location tracking, etc. Scenera’s goal is to align key industry players with the same vision to create an interoperable ecosystem that will bring a new generation of the smart camera. Scenera is a licensed and administrative agent of the NICE alliance. For more information, please visit www.scenera.net.

MEDIA CONTACTS

US:

Lydia You | Scenera, Inc.

lydia@scenera.net

Japan:

Kiyohisa Ota (太田) | Scenera, Inc.

kiyohisa_ota@scenera.net

Zero Image Video Surveillance

The greatest limitation on the deployment of video cameras is not going to be technology but concerns about privacy.  People have legitimate privacy concerns when they see cameras, and we already have many laws mandating disclosure and forbidding use in some circumstances.  NICE changes the game.  Now we can create systems that fully exploit the power of vision but protect privacy by keeping the images within the camera and controlling which events are signaled by the sensor.  Camera sensors have the power to do this, but until now there was no way to effectively tell them what to do and how.

For example, in a home you could upload the faces of family members and frequent guests and then ignore all images where those faces were present.  You could then use video surveillance to look for all anomalies without having to worry about any loss of privacy.  Public cameras could look for specific faces under court order but ignore everyone else.  The opportunities are endless.  The key is building a system based on vision which does not transmit images beyond its eyes, unless specifically instructed to do so.  Today’s home cameras from Google, Amazon and others transmit all their images to their supplier under control of their respective privacy policies.  We think consumers will opt to change when given the choice.

NICE creates the framework for device and software certification, and the layered architecture enables even more privacy firewalls.  We look forward to the ecosystem building on this to simultaneous give us more and more valuable services while increasing privacy.