Rhino movement classifier implemented!

SP le Roux of SU has managed to successfully implement an on-animal rhino movement classifier. The code has been embedded in the same low power CPU for the tag recently developed and tested at the rhino orphanage. We can now get real-time information whether the animal is behaving normally, or not. For convenience, the system was first tested on sheep before implementing the accellerometer data obtained from the earlier rhino tests. This is a major step forward in building an intelligent network.