Artificial Intelligence-Based Intelligent Packaging Form With A View That Included Charles Darwin’s Theory Of Evolution. 

Intelligent Packaging, This view eventually led to a solution based on artificial intelligence to change the way machine was packaged. When Sandvik Coromant implements its new solution, this optimization of the packaging process will lead to cost savings and a significant reduction in CO2 emissions.

Ms. Maria Rajabzadeh Namaghi, a 33-year-old research and development engineer and system developer from Iran, worked on the next generation of German sandwich product packaging solutions in her office in Sandviken, Sweden.

He had a difficult task because he wanted to make sure the packages were as small and narrow as possible to save material costs and help the Sandvik Group reduce its carbon footprint.

Although Rajabzadeh Namaghi had previously found a solution in this field with the help of traditional computer programming, his mind was still busy because he felt something was still missing. He explained that “I do not think the solution was flexible enough and only suited a certain type of custom packaging and did not apply to all types of packaging.”

He let go of his thoughts and thought about it for hours until an idea suddenly came to his mind:

“What if I use genetic algorithms using artificial intelligence?” A genetic algorithm is a problem-solving process based on artificial intelligence based on Charles Darwin’s theory of evolution. Like nature, this algorithm evolves from generation to generation, providing smarter and better solutions in each cycle. Rajabzadeh tested his theory after a few days, and he knew he was doing a great job.

Size or shape does not matter.

“I was really excited, so excited that I couldn’t wait for my co-workers to come back from vacation and then talk to them,” says Maria Rajabzadeh. “Although the genetic algorithm itself is not new, it has not been heard of in this way in packaging solutions.

He explains how the Package Selector Application (PSA) detects the critical points of an object by analyzing its computer-aided design (CAD) model in 3D. The AI ​​algorithm then rotates the object, allowing the application to suggest both the smallest possible package and the object in the selected package.

In addition to helping to reduce costs for packaging materials, transportation, and warehousing, the possibility of choosing the smallest packaging also helps to reduce CO2 emissions. Rajabzadeh says: ”

The program, scheduled to launch in the second half of 2021, will automate the “from start to finish” packaging selection process, says Samir Balik, product packaging and labeling product manager at Sandwich Comment.

“Product designers have software that has been added to their CAD (computer-aided design) applications, and with the push of a button, they can capture footage of a tool they just made, and it will be adapted to the most appropriate packaging – even before.” “Because this tool is physically made.”