Video: Talking VR, Sensors, and Facial Recognition AI at NVIDIA GTC 2018

Credit: VRgineers

May 09, 2018      

Companies creating products in artificial intelligence, virtual reality, facial recognition, high-resolution, and fast-processing graphics were on display at the recent NVIDIA GTC 2018 conference in Santa Clara, Calif.

Robotics Business Review was able to catch up with a few companies showing their new technologies and discussing how companies could take advantage of such items. Take a look:

VR headset for professionals with 5K resolution

Martin Holecko, co-founder of VRgineers, talked about the features of the VR Hero 5K Plus enterprise headset, an enterprise-grade virtual reality headset with 5K resolution. The headset is designed for professional users – think architects, designers, engineers – or anyone who wants to simulate an object to show clients or for training purposes, who needs to take advantage of higher-resolution graphics.

The headset includes two screens and a hand-tracking sensor, plus a wide view that can be adjusted. Holecko also said the high resolution of the headset lets you distinguish between different materials within the VR space.

Use cases for AI and facial recognition

Dr. Shuang Wu, a scientist at Yitu Technology, discusses use cases for its AI and facial recognition platform. For example, retailers can identify demographics of its customers, or see if customers on a blacklist are in your stores. The software can be used to track individuals within or outside a facility, Wu said.

In addition, the technology could be used by smart cities to help monitor traffic or assist with traffic-flow analysis. For crowd monitoring, the software could be used to control access to certain areas, would would be beneficial for public events. In the healthcare space, the software could assist a patient in preparing questions for doctors.

Testing sensors for autonomous vehicles

Danielle Frederick, marketing and operations manager at OPTIS, talks about its platform for testing sensors for things like autonomous vehicles. For example, the sensor fusion technology lets you understand, in autonomous scenarios, how the sensors interact with one another — more specifically, how they interact with the environment around them.

Frederick said that through sensor fusion, people can still test cars physically, but through simulation, they can augment the testing, which is quicker and safer.

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