SENSORO and Graphcore partner for safer, greener towns and cities
PR93823
BEIJING, Dec. 22, 2021 /PRNewswire=KYODO JBN/ --
SENSORO - a worldwide leader in smart sensor and beacon technology - has chosen
Graphcore systems to deliver the AI compute behind its latest environmental and
safety monitoring systems.
Graphcore IPUs will power a range of SENSORO solutions, designed to help towns
and cities become safer, greener places to live.
Smart sensors are emerging as an essential tool in the management of modern,
urban environments as they transition to more sustainable forms of energy and
transportation, while also dealing with the effects of climate change.
Fire, flood and fishing
SENSORO will initially use Graphcore IPU compute for:
Smart fire protection: The rapid growth in the use of electric bicycles has
also seen an increase in e-bike charging fires. SENSORO's monitoring system can
alert building managers to the arrival of an e-bike at their premises, allowing
them to assist with safe charging procedure and facilities.
Emergency flood prevention: Graphcore is working with SENSORO to develop early
warning systems based on monitoring of urban flood risk areas, enabling better
disaster preparedness and emergency response.
Smart ecological governance: illegal river fishing breaks the ecological chain
and destroys the integrity of the ecosystem. SENSORO systems are able to
recognise different fishing scenarios, such as electric fishing and net
fishing, providing accurate information on illegal fishing activity.
Computing foundation
SENSORO founder and CEO Tony Zhao welcomed our partnership, saying:
"Graphcore's IPU system provides an efficient and easy-to-use computing
platform for the urban ESG solution jointly created by both parties, and solves
the computing power bottleneck that we have faced for a long time. We will be
continuing to work with Graphcore, and using the IPU to deliver positive change
in more aspects of people's lives."
YOLO
One of the main AI models used by SENSORO, running on Graphcore IPUs, is YOLO.
YOLO (You Only Look Once) is a highly effective convolutional neural network
for real-time object detection. Since the release of the first version in 2015,
it has undergone a number of refinements to improve speed and accuracy.
SENSORO found that the IPU's fine-grained and highly parallel compute
capabilities lent themselves to the parallelisation required to get the most
out of YOLO.
When running inference on high resolution images (1920x1080px), SENSORO saw a
4X performance gain, compared to the GPU-based inference solution they had been
using previously.
Source: Beijing SENSORO Technology Co. Ltd.
Image Attachments Links:
Link: http://asianetnews.net/view-attachment?attach-id=411586
Caption: SENSORO smart city service system is applied in Yichang, Hubei Province
Link: http://asianetnews.net/view-attachment?attach-id=411588
Caption: From left to right: Graphcore Mk2 IPU, Graphcore IPU-M2000
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