While laser scanners will continue to play an important role, according to a 2009 article written by Cindy Zeiger, Product Manager for Accu-Sort Systems www.accusort.com, in recent years camera based scanners have become more cost competitive – especially for DC applications. In fact, Zeiger says that troubleshooting no-reads is a common use of camera images. For that reason, logistics managers who are looking to optimize their current laser scanning solutions may be wondering if switching to or adding cameras into their automated sorting system could lower operating costs even further.
For example – suppose a DC with a throughput of 50,000 packages per day has a relatively conservative no-read rate of 1.5%. Still that’s 750 packages per day that must be processes off-line. If each no-read takes a worker two minutes to handle at a cost of $20 an hour, that’s an annual cost of about $130,000.
While laser scanners have software that can decode less than perfect bar codes (smudged, torn, and otherwise damaged) and correctly fill in the gaps in the data, no-reads are bar codes that for whatever reason cannot be decoded by the software. According to Zeiger, this is where cameras have a huge advantage over lasers – the ability to capture an image of the whole label or scanning area. By viewing a snapshot, a worker can immediately see the reason for the no-read and address the issue on-line. The expense of manually processing no-reads off-line decreases while system throughput increases. In addition, the camera image data can be used for optical character recognition (OCR), further automating the process of resolving no-reads and increasing throughput.
Today, many manufactures are replacing cardboard cases with the lighter and cheaper plastic shrink wrap package. Zeiger says that cameras typically read barcodes under these types of reflective surfaces better than lasers. This is because a camera provides the full 2D image of the barcode (so it has full spatial information to work with). Therefore, if only part of the bar code is distorted or blocked by reflection, the camera may still be able to decode the data.
Finally, all other things being equal, a camera can read barcodes faster than any other type of bar code reader. This is important because conveyor speeds are increasing to speeds unheard of just a few years ago. At the same time new induction and sorting software is decreasing the gap (distance between cases), which in-turn can significantly increase the cases/minute rate of an existing systems.
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