14 Jan meldCX and AOPEN bring machine learning to the checkout
meldCX & AOPEN to commercialise AI
The solution, based on AI and machine learning at point of sale, has been commissioned for a pilot with New Zealand company Prolife Foods. It’s a self-checkout system that increasingly improves its automatic identification of products, ensuring the correct item is being scanned. The initial trial has involved detecting different kind of nuts. Accuracy improves over time, as the system processes more photographs and learns how to identify the different shapes and sizes.
In addition, customers or solution builders can manipulate their own machine learning models using tools and business rules on the meldCX dashboard without writing a single line of code.
The technology was developed by meldCX using commercial grade devices from AOPEN. It uses meld-intelligence (m-intelligence), an AI system that enables machine learning by way of computer vision and data analysis. This enables it to recognise retail products, learn behaviours, and applies business rules at the edge and in Microsoft’s Azure Cloud.
Dale Tsai, President of AOPEN, says there’s a clear need for businesses to adopt smart vision technology.
“Currently there’s no single place to pull all of this together. We want to democratise AI and machine learning and make these technologies simple and usable for the customer. Our mission is to create a platform for businesses to design, build and deploy powerful solutions, as easily as putting Lego blocks together,” Dale Tsai says.
“We see a lot of one-off use cases and concepts. But customers are struggling to actually roll these technologies out at scale. Through AOPEN and meldCX, they’ll be able to commercialise ideas much more easily, and enjoy security, stability, ease of use and development.”
In the cloud, m-intelligence trains the solution to recognise products and to apply business rules. Once the machine learning takes place, the rules are pushed down to the devices at the edge.
“meldCX’s hybrid solution combines intelligence from the cloud with processing at the edge, or point of sale. It would take six seconds for an image of the product to go to the cloud and back. By processing at the edge but learning in the cloud, we can detect six products a second, and also apply business rules at the edge. We’ve simplified machine learning over the course of developing the solution,” explains Stephen Borg, meldCX CEO and co-founder.
“By applying advanced computer vision algorithms to a camera attached to a scale, the system can see and understand what is going on at the point of transaction and track every item. We can apply this machine learning model across our business and integrate with our supply chain to optimise how we utilise end-to-end information,” says Ian Jackson, General Manager, Prolife Foods.
meldCX and AOPEN will showcase the machine learning technology at NRF Big Show 2019 (National Retail Federation) in New York on 14 January, as part of the Intel trade show booth.
Next month, meldCX and AOPEN will also exhibit at ISE (Integrated Systems Europe) in Amsterdam from 5-8 February. The 2019 edition is expected to attract over 1,300 exhibitors and 80,000 attendees, making it the biggest ISE so far.
meldCX is an affiliated company within the ACER and AOPEN groups—world leaders in hardware, electronics, and cloud-based technologies.
meldCX – our flagship product – is filling a gap in the technology market by providing a web-based application programming interface (API) that is revolutionizing how businesses think about, develop, and deploy apps for commercial devices such as digital signs, POS, and self-service kiosks.
For interview opportunities with Stephen Borg (meldCX), Shirley Strachan (Microsoft) or Ian Jackson (Prolife), please contact Joy Chua / Emily King at firstname.lastname@example.org
About Prolife Foods
Prolife Foods was founded in 1984 and has grown to become a significant supplier of quality food, in both bulk and grocery formats, to retailers across New Zealand.