The human eye is a marvel of nature, but nowadays it is often complemented by the vision of cameras and machines. In warehouse logistics, this technology is allowing operators to validate the logistics process – reducing human errors, tracking parcels and providing real-time feedback for improvements. This is giving businesses the opportunity to see the bigger picture.
Mathijs Baron, International Sales & Business Development at Prime Vision and Lorenzo D’Arsiè, Computer Vision Product Manager at Prime Vision, explore how image-based tracking can positively affect warehouse operations.
Smart scene understanding is the ability to visualise the exact location of an item within a warehouse at any time. To achieve this, cameras must capture all goods passing through the facility.
With this set up, operators can get a complete picture of every single item or order journeying through the warehouse.
Image-based tracking reduces manual actions and reasoning in processes like data input or sorting, with the overall aim of minimising human error. However, another important benefit is that it can provide proof of sorting.
The function and technological capabilities of an image-based tracking system are highly flexible depending on the application’s requirements. A recent project for an Italian fulfilment company illustrates this.
Prime Vision was asked to improve a process where products are selected from storage, verified, and prepared for shipment. Historically, this step had been prone to human errors, resulting in mispacked items or incorrect quantities. Prime Vision had cutting-edge technology ready to transform this process by carrying out a double check.
Prime Vision’s ‘Proof of Pick & Pack’ is a game-changing warehouse technology that leverages a combination of cameras and voice recognition systems to ensure the accuracy of the picking and packing process. In this system, forklift trucks or pickers are equipped with cameras that capture images and videos of the selected products during the picking phase. These images and videos are then cross-referenced with a comprehensive reference database containing tens of thousands of product records.
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