Sentence examples for computer vision hardware from inspiring English sources

It also includes the Qualcomm Hexagon Processor, an accelerator for running machine learning models for use cases like natural language processing and object classification, as well as Qualcomm Vision camera sensors and computer vision hardware.

One possible scenario sketched by Woodford is that in-home computer vision hardware could also be used to analyze the mood of the person it's looking at — and use those emotional observations to tailor product and service recommendations based on how it thinks the person is feeling.

Instead of building its own computer vision-enabled hardware, Matroid is building inroads inside the hardware ecosystem to implement its technology.

These tools, while flexible and robust, require teams of computer vision engineers and hardware, so only companies that want to make computer vision a major part of their product strategy, where they'd want to own the software, need apply.

The choices for designers are uncountable and span from enhancing traditional computer hardware with computer vision libraries, to novel input sensors like the LEAP motion controller that allows gestural control, to those that do not even require a traditional computer such as smartphone-driven virtual reality headsets.

Working with an "integrator" to customize the platform, and getting the special hardware for computer vision or web monitoring can cost tens of thousands on top of the robot itself.

The Myriad 1 is responsible for hardware accelerated computer vision, image processing and sensor data management inside Project Tango, but it's only one of many partners that came together to make the phone possible — as led by the ATAP group.

After seeing the job listings, one industry source with a background in hardware and embedded systems told me they think the device will take care of computer vision and environment modelling primarily in hardware not in software, as has been the case for previous augmented reality apps.

This paper shows how the Xilinx system generator (XSG) environment can be used to develop hardware-based computer vision algorithms from a system level approach, which makes it suitable for developing co-design environments.

Other projects may have different research aims and we chose to leverage existing computer hardware enhanced by computer vision.

Oculus says that the Pebbles team will be joining its hardware engineering and computer vision teams "to help advance virtual reality, tracking, and human-computer interactions".