Improving the Efficiency of Logistics Dispatch for Huge Storage
Hardware: reComputer J1020v2 with NVIDIA Jetson Nano
Application: Goods Detection
Industry: Logistics Management
Deployment Location: United States
The efficiency of transporting goods from loading docks to retail warehouses could be one of the most crucial parts to see if the companies can optimize logistics management. For example, achieving the digital transformation of the supply chain means not immediately dispatching materials upon availability but rather shipping them only when vehicles reach 100% capacity, thus reducing costs and balancing inventory.
Challenge
While this concept seems straightforward in theory, implementation might be challenging, which requires continuous human monitoring of available space in containers and delivery trucks. Relevant information must be effectively communicated to transportation and operations managers, and may also accompanied by human inspection errors and existing bias based on previous human experiences. Nowadays, human resources can benefit from IoT technology, supported by the integration of computer vision with supply chain management on the edge.
Solution
In these checkpoint operations, Edge AI, trained to detect available space, revolutionizes the process. Visual AI uses existing cameras to identify reference points in images, combining with Jetson Nnano for fast processing and inferencing to assess space utilization in specific containers, and report these findings to logistics managers. Combined with serial number tracking, operations personnel can swiftly determine the available capacity of their fleet.
Moreover, computer vision systems can identify the volume characteristics of goods and aid in determining pallet dimensions. These solutions, by measuring the physical attributes of goods and packaging in the manufacturing and distribution chain, optimize operational efficiency.
Formerly reliant on specialized scanning equipment, modern AI now utilizes standard cameras to detect items’ dimensions, reducing implementation costs and streamlining integration. The true logistics capability lies in seamlessly integrating this data with transportation capacity information to maximize the number of products loaded into containers.
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