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With over 300 suppliers now offering some form of animal sensing technology, from simple RFID tags to wearable sensors and ingestibles, the market for animal wearables has come of age and is already becoming extremely competitive. Given most devices are utilizing a common set of low-cost sensor inputs, differentiation in animal wearables comes down to demonstrating ROI, ensuring accuracy of results, and delivering responsive insights. Such insights span animal vitals, to motions and audio indicative of sick or calving animals, to location.
Device power efficiency and battery life in small form factor sensors
Degree of meaningful insight achievable from low-power endpoints
Integration with existing livestock operations
SensiML offers developers of smart pet and livestock wearables powerful tools to improve all three. With efficient algorithms that can support power management at multiple levels, SensiML enables sophisticated signal processing on processors capable of meeting battery life requirements of farming and ranching operations. While low power often comes at the cost of meaningful insights, SensiML can support motion and audio sensor fusion as needed for eating and drinking event detection, estrus monitoring, lameness, activity monitoring, and other key pet and livestock wellness indicators.
Sensor signal processing and classification is done locally on the device
Communications limited to processed event classifications
Supports low power IoT cellular networks LPWAN networks for rural remote connectivity
Power optimized machine learning classification even with audio and motion monitoring
With existing datasets and sample applications available, SensiML can demonstrate quickly how automated algorithm development can be used to develop insightful low-power animal wearables.