Melissa’s Blog – Google I/0 Day 0 Recap
Google I/O Day 0 on May 6th is an Intel event in San Carlos that precedes the annual Google I/O event in Mountain View, CA. This event demonstrates Intel’s contribution into the Google ecosystem and allows a platform for Google developers to experience the latest innovative demos – from the cloud to edge to device, AI, cloud gaming, and more. With over 1100 attendees this year, which is a four year high, twenty five demos were showcased at the Devil’s Canyon Brewery, and attendees experienced a “Dorm Party” with demos and networking, surrounded by food trucks. As developers entered, a stage with a cloud gaming demo was exhibited, and then the main warehouse section contained the main demo exhibits.
Intel’s contributions to Google run E2E edge to cloud, and from Android to Chrome OS. We inspire and help developers get started with new projects by showcasing the latest innovations and resources.
This week at Google I/O Day, there were a few notable mentions across the Android ecosystem.
One of the things most interesting was the new Polestar 2 in-car infotainment system, an Android platform with Intel inside. The vehicle was shown at Google I/O on May 7-9th at the Shoreline Amphitheatre in Mountain View, CA, and is powered by Android and the Intel Atom® Processor A3900 Series. What is most interesting is that this will be the first production vehicle of Google's Q dessert on automotive with Intel Inside, which by 2020, drivers will be able to use their voice (via Google Assistant) to control everything from hands-free navigation (Google Maps) and phone calls to temperature control and radio tuning. For more, read this IOT@Intel blog: https://blogs.intel.com/iot/2019/05/07/polestar2/#gs.afu6wv
That's just the tip of the iceberg. Intel invests in Android across not only the automotive industry, but also across various markets. For example, we also have Cloud Gaming solutions using Android in containers. With Android gaming shifting from PC’s to mobile, Android virtualization is a means to accelerate performance in the cloud, by maximizing Android instances in a single server. There were a few interesting Celadon (Android* open source platform for Intel® architecture) demos shown:
- For automotive, we showed how a distracted driver with a series of detection action could be computed at the edge and logged to the GCP cloud. We also showed an instrument cluster dashboard and emulated CAN communication with the Intel NUC.
- In a Smart Terminal Demo, we showed fast prototyping android solution with AI (facial detection) on Celadon, which could be used to open a door.
- For Surveillance, we showed multi-camera prototype on Celadon.
For more information, check out Project Celadon here: https://01.org/projectceladon/ Follow us on Twitter @ProjectCeladon #GoogleIO #IntelSoftware
Before the event began, Sunil Ahluwalia did a video interview with the social media team (Marcia Hansen) as a business leader for our Google OS ecosystem contributions. This interview covered where we are, what we are demoing, and what we expect with upcoming and potential technologies. Follow us on twitter @ProjectCeladon @IntelSoftware #GoogleIO #IntelSoftware
Cloud Gaming Android in Containers Demo. Hongyu (Harry) Zhang and Sean (Sunghyun) Heo showed games played in the cloud on containers.
Celadon Capabilities. Yogesh Marathe (and Roger Feng). Digital signage demo shows dual screen display through Android (see first standing monitor on the left, and second standing monitor from the left) shows Intel’s vPro technology for remotely manageable digital signage. Automotive IVI demo shows CAN emulators with interactive controls and and a dashboard (center two small monitors, right and left respectively). Surveillance demo shows 4 USB cameras (lower standing monitor, first from the right.)
Smart Terminal (DCG) Demo. Gadi Schwartz shows facial recognition that can open a door.
Smart Terminal Demo Video Playback: https://drive.google.com/file/d/1wzjp-2L7BakY7lAsEie6qejEKXU-ua9V/view?ts=5cd1f9df
Distracted Driver Demo. Automotive AI from the Edge to the Cloud. Application is prototyped on an Intel® NUC and telemetry is sent to the Google Cloud. Sanrio Alvarez.