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Google Coral could make manufacturing more efficiently

Local AI can maximize throughput and increase safety in manufacturing processes
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.
20% of leading manufacturers will rely on embedded intelligence by 2021. AI, IoT and blockchain applications are expected to increase execution times by up to 25%.
QUALITY CONTROL：
Missing defects can be costly and industries are deploying local AI at a rapid pace. Coral can enable visual inspection systems that can detect faults with high accuracy in situations where human vision falls short.
PREDICTIVE MAINTENANCE：
With Coral, equipment manufacturers can incorporate features that monitor and analyze machine behavior and warn of impending failures. That can inform a system of predictive maintenance to avoid expensive downtime.
WORKER SAFETY
Using Coral enabled cameras and other local sensors monitoring a job site, operators can give robots and vehicles the ability to operate safely alongside human workers, preventing collisions and making collaborative work with machines a reality.
Incident and avoidance data pooled into predictive models allow site managers to anticipate activities that may prove dangerous and make process changes.
more details about Google Coral, you can go for here: https://store.gravitylink.com/global

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