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Look Beyond the Human EYE
How Computer Vision Can Solve
Biodiversity Challenges
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
Biodiversity Challenges We're Facing
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.
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.
Species Extinction
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.
ROLE OF AI IN BIODIVERSITY CONSERVATION
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.
COMPANIES TRYING TO SOLVE THE
PROBLEM WITH THE HELP OF AI
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.
COGITO
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.
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.
ALLERIN
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.
THANK YOU

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The Role of Technology to Save Biodiversity

  • 1. Look Beyond the Human EYE How Computer Vision Can Solve Biodiversity Challenges
  • 2. 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 Biodiversity Challenges We're Facing
  • 3. 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. 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. Species Extinction
  • 4. 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. ROLE OF AI IN BIODIVERSITY CONSERVATION
  • 5. 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. COMPANIES TRYING TO SOLVE THE PROBLEM WITH THE HELP OF AI
  • 6. 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. COGITO
  • 7. 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.
  • 8. 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. ALLERIN
  • 9. 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.