In short, Arm- Project
Trillium will be the backbone of a world
OD
|
Object
detection
|
ML
|
Machine Learning
|
Project Trillium helps to
immediate upgrade for ultra-low power devices through highly-optimized CMSIS-NN software that is designed to boost processor performance.
The full form of CMSIS is
Cortex Microcontroller Software Interface Standard. Which is used in Cortex-M
series and embedded applications.
CMSIS-NN is a collection of efficient neural network kernels
developed to maximize the performance and minimize the memory footprint
of neural networks on Cortex-M processor .
Memory footprint is the amount of main memory that a
program uses while running.
The
architecture behind the ARM-ML PROCESSOR is purpose-built to be as
efficient as possible, and it is completely scalable. It runs almost five trillion operations
per second (TOPs) within a mobile power of just 1-2 Watts
The OD
processor can detect objects from a size of 50x60 pixels and process Full HD at
60 frames per second in real time. It can also detect an almost unlimited
number of objects.
Arm-Project Trillium,OD and ML processors
Reviewed by TECH UPDATE
on
February 14, 2018
Rating:
![Arm-Project Trillium,OD and ML processors](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhtRSVNga3LnMTSiceu4WYBEPfe_HqY7i-Xd8vxoIxPTvYS5cHaPSP5W3J9tIe0g01DBACmdah5MMaHKY5x3FXbGY0t0QfmnAD-vVKKauGbo-3pSLKAv3uWqzNGzNDJDOhdRZ8fTSncbc4/s72-c/DV69hoBW4AEGe9t.jpg)
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