Ravenwood unveils cutting-edge software applications for VXR system

USA – Ravenwood has introduced anti-reflection and deep learning technologies for its VXR vision pack inspection system, following the recent integration of a seal contamination detection system.

These new software applications significantly enhance the quality and accuracy of packaging inspections.

Anti-reflection technology

The anti-reflection technology is a key feature of the new software, designed to reduce glare and reflections on flow wrap packs significantly.

This improvement enhances the overall quality of the packaging and ensures more reliable image capture. This technology can be retrofitted into existing vision systems, providing a seamless upgrade path for customers.

Deep learning technology

Ravenwood’s deep learning application is a standard feature for new machine orders and an optional upgrade for existing systems.

This advanced technology underscores Ravenwood’s unwavering commitment to innovation and customer satisfaction, offering flexible solutions tailored to customer needs.

Many meat packers have transitioned from Modified Atmosphere Packaging (MAP) to flow wrap-style packaging to reduce material usage, lower pack weight, decrease energy consumption, extend product shelf life, and improve recyclability.

However, the high reflectivity of flow wrap packaging poses a significant challenge in capturing reliable images with standard imaging methods, necessitating a novel solution.

Ravenwood has developed a novel method to address this issue, combining improved image processing software with an enhanced illumination method.

This optional upgrade reduces glare and reflection during imaging, allowing standard packs to be inspected as usual.

Addressing inkjet printer challenges

Inkjet printers often generate low-quality date codes, leading to unreliable readings by conventional optical recognition software and unnecessary pack rejections.

This contributes significantly to food waste. Ravenwood’s advanced deep learning technology, powered by Halcon software, improves optical character recognition (OCR) by eliminating background images, a task traditional OCR could not achieve.

The new software is user-friendly, requiring less operator programming. Unlike older methods, fonts do not need to be manually taught, and the software intelligently ignores certain fonts or text below a specific height, such as Julian date codes and line identification codes.

This advanced OCR technology has been successfully integrated into existing Ravenwood VXR machines at multiple customer sites.

Ravenwood’s latest innovations in anti-reflection and deep learning technologies for the VXR system highlight the company’s dedication to improving packaging inspection processes.

These advancements provide customers with flexible, high-quality solutions to meet the evolving demands of the packaging industry.

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