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We can detect and track 15 different Sub-Saharan species to aid in conservation efforts one of which is Lions. This showcases the power of our ConservationAI models.

Watching this little fella enjoying the sunshine. One of the animals who will feature in our study over study over the next 18 months. Once refined our AI enabled camera system will be deployed help monitor a variety of different species in their natural habitats.

Conservation AI have started an 18-month trial with Knowsley Safari Today we did a first phase deployment of our 4G AI-Enabled Camera Traps. We installed one Camera Trap in the Rhino paddock, one in the Baboon paddock, two in the lion paddock and one in the Antelope paddock. Using our Sub-Saharan model Read more…

Our new Sub-Saharan Object Detection Model being used to detect animals from live video streams in Africam Safari The model can now detect 13 different animals to automatically monitor and document wildlife behaviour in remote locations. This is one of the world’s first real-time remote animal detection systems that is currently being Read more…

Cumulative species counting using object detection from the new Aeyed video analytics platform has been embedded in ConservationAI. The video shows how conservationists can monitor and track biodiversity by counting distinct species using camera traps and other devices. Here Zebras are automatically identified and calculated using the platforms counting service. Read more…

Here is an example of the Sub-Saharan model detecting a Giraffe and a group of Zebras at a drinking hole.

The video shows how the Sub-Saharan African model performs on live footage. Look out for the Luxton African detection and the detection of the car in the distance. This model is running on a consumer laptop (approx. £2000) with a GTX 2070 GPU – pretty impressive 😊. ConservationAI is a Read more…