What is Dynamic Sensing?
Companies are turning to artificial intelligence to advance their digital transformation. Dynamic sensing accelerates that transformation by bringing the sensors to the assets.
Artificial intelligence is changing the way businesses operate. AI systems demand a continuous flow of repeatable data that’s difficult to collect on physical sites. Today, the health of equipment in facilities is monitored through a mix of fixed sensors and operator rounds. These sensors are limited in perspective, expensive to scale, and can’t adapt to changes. Companies make up the data deficit by spending human resources on tedious data collection. But people are too inconsistent at data collection and too valuable to be feeding an AI system all day. Instead, they should be at the top of the value chain turning data-driven insights into action.
Dynamic sensing solves the problem by dispatching agile mobile robots equipped with modern sensors to collect data on site. Robots walk around the site, collecting data where and when it’s needed. Raw data is processed quickly, and next-generation networks feed this information into the cloud, where it can be processed by AI systems. With more frequent, repeatable data, these systems can create more accurate data models - allowing companies to avoid unplanned downtime and schedule maintenance before costly shutdown.
Boston Dynamics is working with companies like Woodside Energy, National Grid, bp, and others to operationalize dynamic sensing on their sites using Spot, the world’s most advanced agile mobile robot. With an ecosystem of partners and payloads, Spot is the first piece in a dynamic sensing solution that’s quick to deploy, easy to integrate, and can adapt to changing needs. Dynamic sensing closes the loop between physical sites and modern software, enabling companies to leverage their AI investments and unlock game-changing opportunities to improve safety, predictability, and efficiency.
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