Fixed mount industrial ID reader

Cognex's DataMan 300 industrial ID reader is designed to handle code-reading applications for high speed lines.

January 18, 2012

Cognex Corporation (NASDAQ: CGNX) introduced the DataMan 300, a fixed-mount industrial ID reader. The DataMan 300 is designed to handle the most difficult ID code-reading applications on even the highest speed lines. These new readers dramatically increase barcode read rates and speed with a new 1DMax+ algorithm, which incorporates new “Hotbars” technology. For 2-D matrix and difficult-to-read DPM (Direct Part Mark) codes, reading performance has also been significantly improved from a major upgrade of 2DMax to the 2DMax+ algorithm. With the DataMan 300, set up and deployment is even easier than before, with modular, controllable lighting options and a unique intelligent tuning system.

DataMan 300 series offers two models. The DataMan 300 provides standard resolution of 800×600 pixels and the DataMan 302 is the high-resolution model at 1280×1024 pixels. The DataMan 302 is ideal for reading very small DPM codes on small components to ensure full part traceability.

The DataMan 300 series offers the flexibility of integrated and controllable modular lighting and optics. Users can purchase just one model and choose the appropriate lens for their required working distance and field of view. The controllable, field changeable lighting modules allow users to create the best possible lighting for their part, ensuring optimal read rates.

Because 2-D DPM code reading is inherently difficult due to the normal manufacturing processes that parts undergo, the DataMan 300 adds a tuning feature to help form the best possible image of each part. This intelligent tuning technology automates the settings of the integrated lighting to find the optimal light setup for the part making the DataMan 300, the most advanced DPM reader on the market.

Cognex Corporation

www.cognex.com 

– Edited by Chris Vavra, Control Engineering, www.controleng.com 

https://www.controleng.com/machinevision