Multi-Barcode Scanning Solution for PCBs

Industry Demand

1.Component Installation:
Barcode scanning during PCB component mounting (ICs chips ARM-ded codes)

2.Soldering Process:
Post-soldering verification (LED chips PCB surfaces mounted components)

3.PCB Inspection:
Logistics tracking (carton labels packaged items)

4.Shipping QC:
Flex circuit codes & low-contrast marks on black resin substrates

Project Background:
In traditional PCB production processes, manual inspection, marking, and traceability of component labels were required. With the advent of Industry 4.0, most enterprises now opt for automated information collection using machine vision technology or fixed barcode scanners. During PCB production, it is necessary to simultaneously read multiple QR codes on the board and upload the information to the traceability system, thereby improving production efficiency and reducing labor costs.

Barcode Reading Challenges

1、Inadequate marking quality during production results in insufficient contrast, negatively impacting barcode readability.

2、Simultaneous reading requires robust decoding capability and stable performance.

Solultion Advantages

1、The R-6000 series barcode reader features a significantly expanded field of view - nearly double that of previous generations - making it adaptable to more scenarios. A single unit can effortlessly handle multi-code reading tasks.

2、With auto-focus lens technology, it delivers high reliability and durability while adapting faster to production line speeds, eliminating poor imaging issues caused by repeated manual focus adjustments.

3、Equipped with proprietary deep learning decoding algorithms, it offers superior decoding capability and faster processing speeds.

Solution Performance

1.The R-6000 series barcode reader offers expanded field of view and speed compatibility, capable of simultaneously capturing barcodes on high-speed moving packages of various sizes. Within the same field of view, it easily replaces three conventional barcode readers.

2.Utilizing proprietary deep learning decoding algorithms, it effortlessly captures problematic barcodes that were previously difficult to read—including wrinkled, damaged, or low-contrast codes—significantly improving scanning reliability.