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Top 5 smart warehouse applications with Cellular IoT Connectivity

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It is feasible to connect sensors, gateways, routers, apps, platforms, and people in real-time to network the mobile IoT in practice and automate and improve operations.

The top 5 smart warehouse applications:-

  • Driverless transport control systems:- To increase flexibility in the movement of goods and to span greater distances inside the warehouse, driverless transport systems are deployed. These technologies cut down on staff expenses and lessen shipping damage. Transport control systems cut travel and waiting times through continuous data interchange and route-optimized control, ensuring seamless production with a quick and continuous flow of commodities. These transport robots may now be used for every intralogistics operation, from moving tiny boxes and containers to hauling pallets and heavy objects weighing tonnes.
  • Autonomous robots:-  Through sensors and cameras, it continuously records environmental data, which is then used by artificial intelligence and machine learning to compute their path. They may sort packages, place them on the output line where they are transferred to the shipping area, and then read their barcodes with the use of flexible storage bins and code readers. Autonomous robots become collaborative thanks to IoT connection, enabling them to perceive and interact with other robots and endpoints.
  • Real-time tracking:- By relieving assemblers of manual input associated with the selection of the necessary components, cellular-based IoT considerably increases the efficiency of production operations. In a trial project with the Gokart firm, RTWH Aachen demonstrated this.
  • Augmented Reality:– By employing eyewear like Google Glass or Microsoft Hololens, it enables the display and interaction with virtual things in a physical environment. Users using this technology may now complete their daily tasks in novel and simple ways.

You may realistically present the best route description using the data glasses. Additionally, information such as graphics that help identify items is added to the field of view.

  • Image recognition systems:- By identifying elements and responding appropriately, for as by giving directions for certain next tasks, it facilitates employees’ jobs. The components that employees must remove from which container and in what order are displayed on a screen. Image identification is getting more precise and quick when done as part of a networked Internet of Things installation utilizing machine learning and artificial intelligence.

Source:- Industry of things

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