The ecoATM: innovation powered by Neural ID

 

The ecoATM Automated eCycling Station, a kiosk device used for pricing and buy-back of used consumer electronics, was recently named to Popular Science’s Top 100 Innovations of 2010 list in the “Green Tech” Category.

As a core technology used in the phone identification process within the brains of the ecoATM, Neural ID’s CURE^® Library for LabVIEW plays the role of learning what device has been provided by the consumer, and determining the payback value. This article will take a closer look at how CURE artificial intelligence was used by engineers at ecoATM to create the award-winning Automated eCycling Station.

"The real difference that Neural ID brought was a system that could almost infinitely expand to handle a huge database of objects, something that can’t be done with traditional machine vision, and the ability for the system to continuously learn and improve the more we use it." Mark Bowles, Chief Marketing Officer, Founder ecoATM

In a self checkout system (such as those found in grocery stores), how important is it to accurately detect the item from the consumer? It’s absolutely critical, or else the result would be a poor customer experience and the value of the self checkout system would be lost. The engineers designing the ecoATM kiosk were faced with the challenge of creating an exceptional customer experience when implementing their Artificial Intelligence (AI) strategy to recognize consumer devices. Starting with cell phones as the first “device type” with the ability to expand to other consumer devices in the future, the goal of the AI strategy from ecoATM was two-fold: build up a database to recognize cell phones that exist in the marketplace today (an estimated billion recyclable devices are in existence), and have an efficient methodology in place to keep up with the onslaught of new cell phones brought to market by handset manufactures (a daily occurrence). After evaluating both off-the-shelf and in-house approaches, ecoATM selected the CURE (Concurrent Universal Recognition Engine) from Neural ID at the core of this system.

Read all about the ecoATM [powered by Neural ID] >>

CURRENT: EcoATM, the Automated iPhone Pawn Shop (BusinessWeek)

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