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Complete Label Capture


How to Automate the Process of Complete Label Data Capture in the Warehouse

Efficiently tracking and validating warehouse inventory is at the core of operations and the ability to conduct complete label capture has become a competitive advantage for leading warehouses.  While warehouse barcode reading is still a primary procedure for identifying goods, other label content is still used to verify incoming, outgoing and stored goods.  Vimaan computer vision solutions are specifically designed to support this level of versatility which allow warehouses to process inventory more reliably and with less labor. 

One of the most significant innovations has been the deployment of warehouse computer vision systems capable of complete label capture automation, these systems cover a wide array of labels, including those on stored inventory, LPNS ON incoming and outgoing pallets, individual cases on pallets, and even individual parcels. 

Complete label capture involves the scanning of multiple types of data presented on warehouse labels, which can include everything from reading warehouse barcodes to alphanumeric strings such as SKUs, dates, addresses, and other unique identifiers like images, handling alerts and logos. The ability to automatically capture this information not only streamlines operations but also ensures higher accuracy, reduces human error, and improves overall efficiency in the warehouse.

Capturing the entire warehouse label provides access to more information than a single barcode can provide

Previously tracking and inspecting label information beyond the barcode required manual intervention.  Workers would read and document requisite alphanumeric data to record labeled goods.  This includes visually inspecting a variety of essential information, including product identifiers, batch numbers, shipping addresses, dates, lot numbers, and tracking information. This data is critical for inventory management, shipping accuracy, and maintaining a seamless flow of goods through the warehouse.  The expense of manual labor to conduct these activities resulted in only a subset of inventory would be validated. contributing to inventory accuracy issues.

With automated label capture, however, warehouses can routinely scan and process this label data in real-time using Vimaan warehouse computer vision. This capability significantly enhances operational efficiency and accuracy. The system captures labels on: 

  1. Stored Inventory: These labels help track the location and status of inventory within the warehouse. As part of the inventory cycle counting functions, scanning these labels allows for better inventory tracking and management. 
  2. LPN (License Plate Number) Labels on Incoming and Outgoing Pallets: LPN labels are used to track pallets throughout their lifecycle, from warehouse receiving to storage, to picking, and finally outbound order shipping. Scanning LPN labels ensures accurate pallet tracking and helps avoid costly mistakes in order fulfillment. 
  3. Individual Labels on Separate Cases: Sometimes, inventory is not stored as full pallets but as individual cases or cartons on pallets. Each case may have its own unique label that needs to be captured for accurate tracking, order fulfillment, and shipping. 
  4. Labels on Incoming and Outgoing Packages: Labels on individual packages contain vital shipping information, including delivery addresses, tracking numbers, and product details. Complete label capture ensures that these details are accurately captured to streamline the package scanning, shipping process and the reduction of errors. 

In order to optimize warehouse operations, complete label capture must be capable of reading a variety of information from labels including: 

  • 1D Barcodes: These are the traditional linear barcodes that have been used since the 1970’s. They contain essential data like product IDs, SKU numbers, and other identifiers. 
  • 2D Barcodes: These include QR codes and DataMatrix codes, which can hold far more information than a 1D barcode. 2D barcodes are increasingly popular for capturing data related to product batches, manufacturing dates, and additional details that improve inventory and shipping management. 
  • Alphanumeric Strings: Labels often include alphanumeric strings such as SKUs, batch numbers, and product codes. These strings are essential for identifying individual items and may not include information found in accompanying barcodes. 
  • Dates and Unique Identifiers: Expiry dates, manufacturing dates, and batch numbers often appear on labels, making them crucial for perishable goods and quality control processes. These elements are especially important for industries such as pharmaceuticals, food, and electronics. 
  • Shipping Information: Complete Label Capture can scan labels that contain addresses, tracking numbers, and delivery instructions. This capability ensures that orders are accurately shipped to the right location without delays. 

The combination of these data elements helps ensure the accuracy and efficiency of warehouse operations, from inventory tracking to final delivery. 

Densely packed bins are a big challenge for most cycle count automation

While the concept of complete label capture may seem straightforward, the execution can be complex. Not all systems are equipped to handle the variety of labels and data formats present in modern warehouse environments. That’s where Vimaan steps in as a leader in the field of computer vision powered label capture. 

Vimaan leverages machine learning enabled sensors to read and interpret labels quickly and accurately. Unlike traditional barcode scanners, which may struggle with damaged or poorly printed labels, Vimaan systems use proprietary algorithms to detect and capture predetermined data from a variety of label types. 

Systems like StorTRACK, PalletSCAN 360 and ParcelSCAN from Vimaan are engineered to automate some of the most common and labor-intensive activities in the warehouse including: 

Pallet scanning
  • Automatic Discrepancy Detection: Vimaan computer vision systems don’t just capture label data—they also have the capability to compare this data against your warehouse system of record. This means that any discrepancies, such as mismatched SKUs or incorrect batch numbers, are automatically identified. This automated checking helps eliminate errors before they affect inventory management or shipping, saving both time and money. 
  • Seamless Integration with WMS: Vimaan systems integrate directly with existing warehouse management systems (WMS), allowing for the seamless transfer of data from the labels directly into your system. This integration ensures that your inventory data is always up-to-date and accurate.  This flow of data can be customized to meet warehouse requirements and can include both one way and two exchange of inventory data.  Or if the warehouse prefers, Vimaan can work with flat files and use ViewDECK as the primary means of reporting outside of the WMS. 
  • Versatility in Label Formats: Vimaan’s systems are highly versatile, capable of reading a wide range of label formats and data types. Whether it’s a 1D barcode on a pallet, a QR code on an incoming shipment, or a product SKU, Vimaan can capture it with precision. 
  • Improved Operational Efficiency: By automating the label capture process, Vimaan helps streamline warehouse operations, reducing manual labor, improving data accuracy, and increasing throughput. This leads to faster order fulfillment, more accurate inventory tracking, and a reduction in errors and returns. 

In modern warehouse operations, complete label capture is an essential tool for improving inventory accuracy and efficiency. By automatically scanning and capturing a wide variety of label data, warehouses can streamline processes from receiving to shipping, ensuring that all products are tracked and processed correctly. 

With Vimaan’s computer vision systems, warehouses gain a powerful solution that not only captures label data but also automatically checks for discrepancies, ensuring the highest level of accuracy. Vimaan’s technology integrates seamlessly with existing systems, making it the best choice for warehouses looking to improve their operations and stay ahead in an increasingly competitive marketplace. 

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