1. Barcode Reading

Barcodes are mainstays of retail logistics. Barcode reading systems must accurately read codes, no matter their condition, or where they are on the package or item. Advanced image-based barcode readers offer performance along with real-time monitoring to analyze the root cause of no-reads for further optimization.

Machine vision enables automated systems see and use that information to make decisions. Vision systems use presence/absence detection to help increase sorter tray efficiency and capture dimensional data that can be used to solve a variety of applications across a distribution center, such as verifying manifests of incoming goods, deciding if an item is a box or polybag, and estimating shipping costs and optimal packaging.

Machine vision tools and barcode reading systems 
produce mountains of rich data. Logistics managers want analytics that will let them identify and respond quickly to inefficiencies and bottlenecks anywhere in the supply chain. The Edge Intelligence platform provides continuous and detailed monitoring of performance and normalizes it all to form a detailed historical record of conditions on the line, all without burdening humans. 

Tight labor markets have created staffing challenges, automation eases that stress. Robots can substitute for humans in repetitive or strenuous work, saving employees time for more valuable tasks. While variables in package shapes, sizes, and weight makes some tasks extremely difficult to automate, robotic implementations using machine vision to guide robots can efficiently move products through the supply chain.