Sentence examples for hardware for processing from inspiring English sources
While expanded instant replay takes advantage of some existing stadium cameras, the MLB had to install new cameras as well as new hardware for processing the footage and getting it to New York.
On designing dedicated hardware for processing AI "Intel build the whole processor and also they build the equipment you need for an entire data center so that's the individual processors and the electronic boards that they sit on and all the wiring that connects these processors up inside the data center.
Regarding hardware solutions for processing big data, we refer the reader to [20].
We first review the challenges and opportunities for data processing, and summarize the use of hardware for data processing.
PrimeSense, which is the company Apple acquired, is responsible for the 3D imaging system-on-a-chip contained within the Tango developer hardware, which is responsible for processing the data gathered by its four cameras and turning that into a 3D map of its surroundings for use by the hardware, system software and developer applications.
Fixed function hardware for image processing (ISP) has been used ever since digital cameras were introduced.
The 3D reconstruction procedure in HD4AR mostly follows the original steps in the SfM algorithm of the Bundler package except that it 1) uses different feature detectors and descriptors, 2) introduces new optimization parameters for reducing noise in the 3D point cloud to improve localization accuracy, and 3) exploits multi-core CPU and GPU hardware for faster processing speeds.
The use of a digital camera has several practical benefits; the system incorporates an LCD screen for real-time image visualization, thus eliminating the requirement for additional hardware for image processing and display.
With the sufficient design resources and memory support, the whole video frames of QCIF/SIF/CIF can be directly stored in the on-platform memories for the efficient hardware processing.
Improvements in computational performance have recently been obtained through effective usage of computer hardware, for instance, through graphics processing units, Cloud-based computing environments, or multithread parallelization, when exploring genetic variants or their interactions in GWA studies [ 98- 101].
