This new device represents a new approach in many regards. The first noticeable one is that it doesn't follow the naming conventions used to name BCB devices. There is a reason for that and it is that these devices are meant to be used by regular people, always in a controlled manner and as part of insurance plans. The objective of this devices is to detect anomalies in the behaviour of domestic animals that could be used to guess a potential attack from Jaguars or another predator, Pumas for instance.

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Another difference is that this device was completely developed using Machine Learning, tinyML to be fair. Other BCB devices use ML for partial results as a way to ensure some predictability in detection of certain critic things.

These devices have to main features:

• Animal Tracking and Geo-fences.

• Motion Anomaly detection. 

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The first feature relies on the GPS coordinate and a set of demarcated areas that are known as "threat-free" for domestic animals, each time animals leave these zones an alarm will be sent. The demarcation can be manual or automatic in the case of integrating this device with BCB002s Cameras.

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The second features relies on a 3 Axis Accurate accelerometer to read the way an animal is moving, this information is forwarded to a Neural Network to detect some identified patterns as "potential attacks".

The lock-down also prevented to test this device on the field with real animals, so, Stay tuned for updates!

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