Success case
Stock Management with Edge AI Capability in Intelligent Industry
Hardware: NVIDIA Jetson Orin Nano Application: Inventory Update & Precise Object Location Industry: Stock Inventory Management Deployment Location: U.S In this world where every resource counts, the imperative to revolutionize how we control industrial stock has never been more pressing. Efficient inventory control is usually the linchpin that holds together production, distribution, and profitability. Yet, […]
- Industry
- Transportation & Logistics
- Application
- Warehouse inventory and location
Project background and needs
This is an industrial warehouse inventory example: edge AI assists inventory updates and item location, addressing inaccurate manual tracking, slow searches, and limited real-time visibility.
Inventory visibility
- Traditional manual tracking often produces inaccurate stock data.
- Lacking real-time location and quantity data can cause misplaced items and delays.
Needs continuously updated item counts and locations.
Item retrieval location
- Industrial warehouses are large with a wide variety of products.
- Employees may spend significant time searching for specific items.
Needs to give employees usable item location data.
Solution and architecture
Vision capture and recognition
Cameras paired with Jetson Orin Nano, YOLOv8, and OpenCV count shelf items and read coordinates and barcodes.
Inventory sync
The system provides location data and connects with internal systems and databases so all departments get up-to-date inventory information.
Solution components
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