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Tel: 0191 814 2220
In order to prioritize customer satisfaction and the shopping experience, retailers around the globe are deploying increasing numbers of self-checkout facilities across their stores. These systems are not without issue, however, and continue to provide challenges associated with the accurate detection and prevention of both deliberate and accidental theft.
A single sensor operating alone, e.g. a barcode scanner or weighing apparatus, cannot make a self-checkout theft-proof. However, a more accurate view of the environment is enabled when data produced by multiple different sensors and retail equipment is combined (fused) together. More accurate views of the world mean significantly improved object detection and reconciliation accuracy. Unfortunately, the roll-out of multi-device solutions like this has been difficult, mostly due to the headache of integrating the different devices together. By adopting a modern architecture, a collaborative approach to technology, and open standards for communication, the integration complexity becomes a thing of the past.
Real-time Sensor Fusion allows you to deploy technologies for loss detection at self-checkout and enables a more seamless and immersive customer experience. Use machine learning to connect different sensors, such as point-of-sale systems, weight scale sensors, cameras and RFIDs to accurately detect checkout items, monitor inventory and generate new data to help optimize customer experience.
Data collected from a range of retail devices (including Point-of-Sale hardware, RFID scanners, weighing apparatus and smart cameras) are delivered and processed in real-time using IOTech’s Edge Xpert platform deployed on the HP Edge Gateway System. Edge Xpert merges all the available data from the sensors in real-time creating a singular picture that will help deliver actions to solve problems and enable the smart retail innovations described above.
The aim of the ORI is to promote the free exchange of ideas within the retail industry in order to drive creative and technological advancement. Through collaborations within the EdgeX Foundry community and ecosystem partners such as Canonical, Dell, Envirosell, HP, JD.com, JDA, Petrosoft, RetailNext, SAS, Shekel Brainweigh, SUSE, Toshiba Global Commerce Solutions, Verifone, VMware and IOTech, the initiative is removing barriers to technology adoption.
The Catalyst 3 Science Square
Newcastle upon Tyne North East England NE4 5TG
Tel: 0191 814 2220
edge computing, internet of things, IoT, Industrial IoT