Food and Beverage Business
Packaging

New technology unveiled by Ravenwood for VXR includes anti-reflection and deep learning features

New technology unveiled by Ravenwood for VXR includes anti-reflection and deep learning features anti-reflection, Deep learning, Ravenwood, tech, VXR Food and Beverage Business

Ravenwood has announced the introduction of cutting-edge anti-reflection and deep learning technologies for its VXR vision pack inspection system, designed for the food packaging industry.

This exciting development follows the recent integration of a seal contamination detection system into Ravenwood’s offerings. Both of these software applications are geared towards analyzing pre-print and linerless labels on packaging. The new anti-reflection technology specifically targets minimizing glare and reflections on flow wrap packs, while deep learning technology enhances optical character recognition, ensuring accurate decoding of diverse font styles, including inkjet dot matrix fonts.

The adaptability of both anti-reflection and deep learning technologies allows for easy retrofitting into existing vision systems in the field. For new machine orders, deep learning is now included as a standard feature, while anti-reflection is available as an optional addition.

A growing number of meat packers are transitioning from MAP to flow wrap style packaging due to various benefits such as reduced material usage, lower pack weight, and extended product shelf life. However, capturing reliable pack images with standard imaging methods can be challenging due to the high reflectivity of flow wrap packaging.

To address this challenge, Ravenwood has developed a novel method that combines improved image processing software with enhanced illumination techniques to reduce the effects of glare and reflections during the imaging process. This optional extra is a game-changer for the industry, allowing standard packs to be inspected as usual.

Inkjet printers often produce low-quality date codes, leading to unreliable readings by conventional optical recognition software and unnecessary pack rejections. Ravenwood’s advanced deep learning technology, powered by Halcon software, tackles this issue head-on. The improved optical character recognition software eliminates background images and requires less operator programming, making it a more efficient and user-friendly solution.

This new software intelligently ignores certain fonts or text below a specific height, such as Julian date codes and line identification codes, ensuring accurate readings. Ravenwood has successfully integrated this technology into existing VXR machines at multiple customer sites.

In conclusion, Ravenwood’s anti-reflection and deep learning technologies offer innovative solutions to the challenges faced in food packaging, providing enhanced accuracy and efficiency in the inspection process.

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