Coral’s local AI technology enables new possibilities across almost any kind of industry
In order to reach the true potential of a “smart city,” AI processing will have to move from the cloud onto secure local devices, maintaining individual privacy, reducing data transfer rates, and enabling quicker reaction times for critical systems.
Edge AI use cases in industries are wide ranging, from quality control in manufacturing lines to safety monitoring of human-machine interaction. These applications need fast, low latency inference without compromising on accuracy.
Local AI not only helps vehicles drive more safely, it is also used to ensure driver attentiveness, provide seamless control of on-board systems, and verify the smooth operation of countless moving parts under the hood.
From patients to providers, local AI can help reduce healthcare costs by enabling more accurate diagnoses, reducing preventable accidents, and improving compliance. Edge devices can also extend healthcare to underserved populations where medical infrastructure might not exist.
Local AI provides high performance, offline analysis for agriculture challenges that can improve soil quality, plant health, and crop yield in order to produce more food, reduce environmental impact, and enable sustainable farming practices.
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