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HomePlatformsDevice ManagementSmartCow launches upgraded FleetTrackr for streamlined device management

SmartCow launches upgraded FleetTrackr for streamlined device management

SmartCow’s latest update to its AIoT Device Management Platform, FleetTrackr, marks a significant advancement in managing edge AI devices. With enhanced scalability and improved UI design, FleetTrackr allows users to efficiently control and manage their edge devices at scale.

FleetTrackr enables seamless over-the-air provisioning, monitoring, and updates for edge devices, with the capability to scale up to managing one million devices. This platform streamlines the deployment and control of edge AI systems through a hybrid-cloud service, ensuring unparalleled scalability and reliable performance.

As the demand for edge AI solutions continues to grow, efficient management and deployment have become critical factors for large-scale projects. Pooja Venkatesh, Product Manager at SmartCow, emphasized the importance of responsive, flexible, and remotely operated AI solutions in meeting this demand.

The upgraded scalability of FleetTrackr allows it to support a larger number of devices, ensuring that every unit from the project is included in the platform. Additionally, the enhanced UI design offers users a more intuitive experience, allowing them to view device details, apply tags, and monitor applications with ease.

FleetTrackr V2 offers real-time device management, performance tracking, and notifications, providing valuable insights and facilitating easier device identification. Moreover, FleetTrackr seamlessly integrates with SmartCow’s product lines, allowing users to add it to their existing AIoT solutions for efficient device management.

SmartCow’s membership in the NVIDIA Metropolis and NVIDIA Jetson partner ecosystems underscores its expertise in developing software-defined hardware optimized for elevated performance in edge AI applications. With its edge AI products and solutions widely deployed in smart cities, SmartCow continues to drive innovation in the field of AI engineering.