AI Enhanced Wildlife Monitoring and Control with SAIMOS and ICU Server – Intel on AI – Episode 65

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In this Intel on AI podcast episode: In Europe, like many locations around the world, there are important efforts around wildlife monitoring and invasive species population control to ensure that endemic species are still able to live in their natural habitats. Yet, it can be very challenging for conservationists and wildlife experts to track and monitor specific species manually. Some digital sensors and tracking systems can be put in place to assist, but often trail cameras and sensors can trigger false positives from unrelated wildlife species.

Jürgen Konetschnig, the Chief Technical Officer at SAIMOS, joins the Intel on AI podcast to talk about how the SAIMOS / ICU Server solution is using AI technology to help wildlife control efforts become more efficient. He illustrates how the solution uses AI to ensure that alarms are not triggered “blindly” and the authenticity of each alarm can be evaluated with a short video-recording or an image. Jürgen highlights how the solution is an integrative platform that links geo-data with data from any other source (eg video + sensor data) and can detect and track the intended wildlife by analyzing the image or video in real time. Jürgen also talks about how SAIMOS utilizes Intel Movidius technology to power their solution has worked with Intel to optimize their solution with Intel Distribution of OpenVINO toolkit enabling them to greatly improve performance. He also describes how SAIMOS is now working to enable all of their solutions to be OpenVINO compatible and will continue to work with Intel to utilize and optimize for Intel architecture.

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Posted in: Artificial Intelligence, Intel, Intel on AI