Put intelligence in the field for longer with low-power machine learning.
Increase the efficiency and reach of research using machine learning automation
Make 24/7 sensor monitoring possible at the lowest power with minimal connectivity needs.
Support environmental policy enforcement using low-powered and long-life battery devices to monitor remote nature areas.
Analyze animal behavior with low-power wearables in real-time using motion, audio and computer vision.
Identify wildfires at their outset using remote low-power sensor networks to monitor temperature and audio.
Identify objects in the field using intelligent camera traps in real-time, saving months from manual memory card processing.
Harmful bycatch can be monitored with automated computer vision and audio identification techniques
Identify species and behaviors in the field using bioacoustics and advanced models at extremely low power.
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