The Hong
Kong Institution of Engineers (HKIE) organized the technical seminar named “AI Technologies for Precision Forestry and
Fire Detection” on 13 Aug 2018. AI and Robotics are hot topics and
this seminar showed how AI and Robotics technologies helping our world in green
economy. My colleague - Mr. Curie Lee,
guest speaker - Mr. Rex Sham and I took a photo for memory.
In the
beginning, organizers took a group photo.
Mr. Rex
Sham (Co-Founder and Chief Science Officer, Insight Robotics) was the guest
speaker and his topic was “Insight Robotics – AI Technology Solutions for a Better
World”. Firstly, he introduced his company which
founded in 2011 and their services included Wildfire Detection, Forestry Pest
& Disease Detection and Forestry Resources Survey. Their team had 40+ staff in which 40% were
R&D. They are the first company to
export Wildfire Detection Robots from China and received 15M+ USD Private
Investment.
The following diagram briefed their services by using Robots, Drones and AI to help their client by making sense of data and reduced risks and prevented losses.
Rex discussed that wildfire caused 30% of carbon emission in which 92% of wildfire caused by human activities. He said it was difficult to identify the location of fire source under Haze, Smog, Air pollution and Smoke. Moreover, human monitoring of wildfire was boring and expensive.
Moreover,
using towers were difficult to identify the location of fires. The following
diagram demonstrated the wrong estimation of fire location.
Using Satellites,
but its resolution was not enough to point out the location. Specification of
MODIS (Terra & Aqua) were:
-
Best of the World
-
250m x 250m per Pixel
-
Best-case 900m2 fire Size (4 pixels)
-
6 hours revisit internval
-
705 km above ground
-
Fire product is 1km x 1km per Pixel
And then
Rex showed the case on December 8, 2011 which participate and provide exclusive
fireproof technical support in Zengcheng City Guangdong Province fire drill
event – Guangdong Provincial Forest Fire “3-Dimensional” Practice (2011年12月8日視野機器人有限公司參與廣東省在增城舉辦的<廣東省森林消防立體滅火實戰演習>及獨家提供防火技術支持).
After that Rex shared some application cases in different areas and countries.
Another
extended service is Drones Data Analytics on high speed high resolution mapping
for finding small Wildfire and building the local terrain map.
Finally,
he demonstrated their High Resolution Ultra Large Area Image Stitching in Indonesia. They had capability for tree counting and
tree health record for every single tree. He told us to use human marking for 6
M trees within 4 months.
Q&A
Session
I asked
questions how to identify the different species of tree. Rex said it was different and need to train
by professionals. They planned to develop
open platform for international cooperation.
In their coding, 20% is open source and 80% is close source. He planned to increase the open source.
In here,
I introduced my study on GIS related on forest classification. My conference paper named “A Study on the
Characteristic of Bulk and Canopy Deposition Fluxes in Hong Kong employing GIS
Technique” in POLMET 2000 Kuala Lumpur (The 6th International
Conference on Pollution in Metropolitan Cities).
After employing Hong Kong Ecological
Database with classification data on vegetation coverage, the element fluxes
were estimated into three classes, which are city area, forest and grassland. However, classification of remote sensing
image were Forest Area (Green), Glass Land (Brown), Artificial Area (Red) and
Unclassified Area (Black).
Reference:
HKIE – http://www.hkie.org.hk/en/
Insight
Robotics Ltd - https://www.insightrobotics.com/en/
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