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Deep Learning technology in anti-poaching is a big talking point across Europe

10/24/2018

Entrepreneur, business woman and Global Marketing Director for AxxonSoft, Collen Glaeser, recently journeyed to Germany and the United Kingdom to meet with prominent international dignitaries and media, as the representative for AxxonSoft, a leading global developer of intelligent video surveillance solutions. While away, Colleen focused her attention on a big talking point in Europe at the moment, deep learning technology and how it has been adapted and implemented to help the dire poaching crises across the African continent. The aim of this tour was to showcase how, through AxxonSofts Deep Learning technology, poaching can be significantly reduced, leading to safe parks around South Africa and across the African continent.

As Colleen comes from South Africa and owns a private reserve in the Midlands, seeing the destruction that poaching has imposed across the country and the continent was a gruesome atrocity and something she could not let go. The protection of wildlife is something that is very close to her heart.

Colleen Glaeser Growing up surrounded by these majestic animals and the exquisite plains of the African continent, protecting them is extremely important to me. AxxonSofts goal is to help reduce the amount of killings and brutality inflicted on these animals by utilising cutting-edge Deep Learning technology,

said Glaeser.

During her time in London, Colleen was interviewed on Sky News by Sarah-Jane Mee, an internationally acclaimed broadcaster. During the interview, Colleen delved into how this technology utilises the latest surveillance and security solutions, incorporating Deep Learning, which is a method under Artificial Intelligence (AI). AxxonSofts Deep Learning technology, using artificial neural networks, has been adapted to tell the difference between humans and animals. Prior to the incorporation of Deep Learning in anti-poaching surveillance, software often failed control rooms and response units in that false alarms were on many occasions, set off by animals, insects and weather.


When applied to image analysis, neural networking methods help overcome the limitations of traditional video analytics. They can solve certain complex problems for which an implementation of a traditional algorithm would be too expensive or impractical. At the learning stage, the neural network analyses many images containing pre-tagged objects and learns to recognize them by extracting specified characteristics.

Colleen was also fortunate enough to visit The House of Commons while in London, where she met with top dignitaries from both the United Kingdom and Africa, to wildlife and conservation on the continent and the impact and ramifications of poaching.


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