The Role of Technology to Save Biodiversity

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Look Beyond the Human EYE
How Computer Vision Can Solve Biodiversity
Challenges
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Biodiversity Challenges We're Facing

• Deforestation
• Deforestation can directly lead to biodiversity
  loss if tree-dwelling animal species no longer
  have habitat, cannot move, and are therefore
  extinct

• Increasing demand and population expansion
• We use biodiversity to satisfy our basic needs,
  which is a major barrier to conservation.
• Biodiversity would be exploited more with a
  higher population

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Climate change Environmental changes caused by
climate change are destroying natural habitats
and species in ways that are now becoming
apparent. While rising temperatures are
affecting biodiversity, changing precipitation
patterns.
Species Extinction There are between 200 and
2,000 extinctions every year. Currently,
extinction is 1,000-10,000 times higher than
the natural rate. Hunters kill over 200,000
animals for trophies every year.
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ROLE OF AI IN BIODIVERSITY CONSERVATION
AI can contribute to the preservation of
threatened plant and animal species. Additionally,
if such animals are monitored or tracked by
forest rangers, they can be protected against
natural calamities like forest fires and
floods as well as illegal activities like
poaching and deforestation.
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COMPANIES TRYING TO SOLVE THE PROBLEM WITH THE
HELP OF AI
GRAMENER
Actively helping global organizations leverage
technology-enabled solutions to identify species
from photographs using computer vision
technology. Uses AI/ML solutions to help
identify, count, and protect endangered
species. Uses satellite imagery to find and
analyze land mapping. Understands land use
patterns and enables conservation.
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COGITO
Uses computer vision technology for AI- enabled
drones to recognize animal species and their
type and alert researchers to their
activities. Provides bounding box annotation
services to enable technologies like drones to
recognize these animals. Uses some tools and
techniques to label animals in the photos with
semantic segmentation.
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THINKING MACHINES
The Eco-Intelligence Solution from Thinking
Machines uses AI-derived environmental datasets
to provide clients with the information they
need to accelerate ecosystem restoration
efforts. Objective is to create a quick,
automated, and scalable method for gathering
data that will supplement and enhance the local
organizations by applying computer vision to the
latest satellite imagery.
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ALLERIN

• An AI-powered security system aids in the
  detection of poachers approaching animals and
  alerts park guards to stop animal extinction.
• Its AI-based networking platform enables people
  to share photographs of plants, providing
  scientists with a vast amount of data for
  research and prompt action to stop plant
  extinction.

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KEYMAKR
Their AI applications help fill the animal
welfare gap by providing authorities with new
surveillance tools. Their Machine learning model
allows to interpret terabytes of satellite
imagery and create a continent-wide forest
inventory. Cameras can continuously monitor
trails and can immediately notify anti-poaching
staff of the presence of any suspicious people.
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THANK YOU