AI catching wildlife poachers
Motion detection cameras transmit images to the Wildlife Protection Solutions head office in real time where they are assessed by a team member for evidence of people, vehicles or poaching. This is a slow and labour intensive activity, prompting WPS to look for a solution to streamline the process.
Silverpond used its tool HighLighter to train a deep learning model to recognise suspected poachers quickly by analysing video streams.
- Doubled detection rate (40% to 80%).
- Seamless integration into existing system.
- Two poachers captured and detained within first week of deployment.
- Over 1 million inferences in the first year alone.