When & why the organisation was formed

Poaching Prevention was formed in June 2015 as a response to the urgent need to protect Africa’s rhinos and elephants.

We are a not-for-profit registered charity, dedicated to stopping the unnecessary slaughter of African elephants and rhinos.  Our intention is to supply mapping software, equipment and training to African parks, reserves and conservancies free of charge.

Saving rhinos and elephants from extinction is achievable, but it requires political will and financial backing.  African nations are calling for international help and we want to answer their call.

Our Objectives

To prevent poaching of rhinos, elephants and other endangered species, through the provision of technology, equipment and specialist training.  To provide national parks, reserves, conservancies & partner NGOs with free anti-poaching support, including:

  • Unmanned Aerial Vehicles (UAVs) with accompanying on-board global positioning systems and live-feed cameras
  • Tactical Ground Control Systems
  • Handheld global positioning systems for rangers
  • Laptops, rechargeable batteries, solar chargers
  • Specialist training
  • Software
  • Where necessary, and possible, we will help to cover the cost of employing resident UAV operators
  • We will help to promote UAVs as a conservation tool in order to facilitate the protection of endangered species and encourage African nations to lift bans on UAV flights
  • To raise awareness and encouraging political will

More About Us…

Our co-director, Professor Thomas Snitch, and his former team at UMIACS, developed a supercomputer-based capability for predicting when and where poachers would enter a park or reserve.  Their analytical models informed where the rhinos were likely to be, and the modus operandi of the poachers in that area.  However, over the past few years, Tom has been lending his knowledge and expertise to on the ground anti-poaching organisations, and in doing so has concluded that supercomputers and satellites (which are extremely expensive to operate) are not necessary because comparable results can be achieved through more cost effective, readily available, lower tech solutions that aren’t heavily dependent on enormous datasets.

By applying the principles learnt during the trials in southern Africa, rhino and poacher behaviour can still be predicted; and by avoiding the use of supercomputers and satellites we will be able to allocate more funds towards equipment, training and boots on the ground.

  • We statistically characterise the environment associated with previous incidents
  • We identify statistically similar areas at increased likelihood of future, or previously undetected, poaching events
  • Our analytical approach facilitates the focus of resources on targeted areas
  • UAVs are used to spot poachers and could also be used for other purposes such as animal counts and checking fence perimeters for breaks