MAESTRO is a centralized Control Tower designed to optimize indoor operations by tracking raw material movements, providing real-time safety alerts for man-driven vehicles, and managing fleets of autonomous mobile robots (AMRs). It enhances spatial awareness through advanced semantic analytics and utilizes proprietary Machine Vision technology to autonomously navigate mobile platforms, improving productivity and safety in industrial environments. The system tracks both human and robotic workers, generates actionable insights, and employs ceiling-mounted cameras for continuous floor awareness. Furthermore, MAESTRO's ability to streamline operations and enhance efficiency makes it a robust solution for the modern industrial landscape.
• generates actionable insights
• centralized control system
• real-time tracking and alerts
• advanced semantic analytics
• proprietary machine vision technology
• integration with various robotic platforms
• vendor-agnostic platform
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A federated AI framework that integrates decentralized data sources for AI development.
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