How AI / ML and Computer Vision are saving the planet.

It's pretty ironic when you think about it, the ewaste industry ensures the proper recycling of the technology we use in our daily lives. The technology the industry focuses on recycling is the same technology that is actually capable of saving the planet from itself. Whew.. (insert mind blown meme here;)

What Artificial Intelligence, Machine Learning, and Computer Vision have grown into, over the past four years, is something that has the ability to massively increase efficiency and promote exponential growth of the recyclers who choose to adopt these new technologies.

This has been proven time and time again by Pfane Environmental's award-winning work in the field. With over 40 long term users of their technology. Pfane Environmental Association has built a solid reputation for delivering accurate results through using its ViewPas software. Results are seen not only by their own recycling company, Pfane Scientific SRL but duplicated within every single company who've employed their software. It saves time, it saves money, it ensures the proper quotation of materials and the correct and accurate quality verification of entire trucks of materials in minutes rather than days, in seconds rather than hours.

As illustrated in this unique video explainer.

There's still the question of accuracy when dealing with anything computerized. However, over the past 18 months, the verdict is in on this as well. The accuracy, when the machine learning began, was a little over 90% when the software was released in February 2019, it was at or above 95% in hundreds of test, as the software and image data has evolved (yes... evolved) performing thousands of scans per month, the accuracy has risen closer to 98% but Pfane Environmental stands firmly behind 95%+ accuracy level based on advanced probability (Pfane Scientifics Logo)

But really, what's so special about having the ability to take a picture of a pile of circuit boards and know with 95% certainty what's in it, if its missing valuable components, if it's actually the material you ordered? This "SuperPower" for your e-waste enterprise is actually something of the holy grail. You can never get into a bad deal, no matter how much your seller says your competitor will pay them for their waste. No matter how much they can prove they sold the last truck for. The sellers market is over. There's no more need for recyclers to say "we can make it up on the next truck." With ViewPas, you never lose. That, is a very bold statement, but, you don't see too many chess grandmasters winning against computers these days either, do you?

Since utilizing ViewPas in it's day to day operations Pfane Scientific has 10x'd their yearly gross revenues and has quadrupled that number in the last year. This incredible technology is available for commercial use. Hows your e-waste enterprise going to look in 2020? Can you assure your investors and stakeholders they won't have to worry about losses due to poorly priced e-waste purchasing? Can you show your suppliers and vendors that you're using the most efficient means possible to recycle their material when there are a growing number of small companies who can do it faster?

In a way, the efficiencies realized when using AI and Machine Learning across the entire industry would affect the overall ability of the industry to process the waste if even a 10% increase could be seen, we as an industry would be able to process another 5 million tons per year without changing machinery, without losing out and insured revenues is a thing any new e-waste company would love to discuss with their investors.

In short. The machines we recycle, are the machines that are actually capable of saving the planet. Are you ready to accept them? Find out more at https://www.pfane.org