February 5, 2024 By Sander Sondaal
Artificial Intelligence (AI) has entered the mainstream and is starting to revolutionize industries around the globe. Digital print production is no exception. In fact, it offers rich potential for the use of the technology to enhance quality and productivity, streamline operations and create client value.
My company has identified five key ways in which AI can take digital print production forward:
Ensuring consistently high print quality – AI algorithms can process data captured from a press’s integrated inspection system to analyze the quality of the printed output in real time to maintain colour consistency and to identify any potential print quality issues early, enabling the press to automatically take action to address them as they arise.
Reducing operator load through automation of repetitive tasks – A valuable use of AI is to help automate repetitive tasks such as print scaling, front-to-back registration, density adjustment, and paper profiling, allowing operators to focus on higher value added activities.
Keeping presses productive cost effectively through targeted preventative maintenance – Changing out components before they fail has become a well-established industry practice. However, the frequency of part replacements has often been based on simple estimations of their average operating lives. AI, on the other hand, can analyze the performance of the press to predict much more accurately when individual components will fail – allowing just those that need replacing to be changed, thus reducing waste from unnecessary downtime and unwarranted component replacements.
Increasing efficiency via print production automation – AI has the potential to play a role in the management and optimization of the entire print production workflow from prepress through to post-processing – automating processes and giving executives better visibility of performance, supporting management decision making and driving even greater efficiencies.
Creating value through greater print personalization – AI can be deployed to analyze large quantities of customer data, facilitating a higher level of print personalization. This can, for example, increase the return on investment for direct mail campaigns.
Sander Sondaal is director, commercial print sales, Ricoh Graphic Communications, Ricoh Europe
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