IOTech Systems Limited

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10 items tagged "loss prevention":

The Open Retail Initiative

The Open Retail Initiative

Open Retail Initiative (OR) promotes 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.

IOTech at the National Retail Federation Show (NRF 2020) in New York City

IOTech at the National Retail Federation Show (NRF 2020) in New York City

IOTech made its first-ever appearance at the National Retail Federation show this year (NRF2020 in New York City, Jan 11-14) and did so in style. IOTech's Edge Xpert platform was selected by two retail heavy-hitters, Intel Corporation and HP Inc. to power their demos of edge computing for retail use cases. The primary use case on show was Intelligent Loss Prevention - that is, how to maximize the customer convenience of self-service checkouts, while minimizing the potential losses suffered by the retailer. Self-service checkouts are now commonplace in supermarkets and growing fast in other stores, but the limited integration of data from the discreet devices and applications involved (e.g. bar code scanners, connected weighing scales, POS systems and video cameras) means they are prone to misuse and fraud (examples of that are the subject of a totally different type of blog). However, through innovations at the edge, live integration of this data and the addition of integrated user interfaces allows for misuse to be identified in real-time and store staff immediately alerted to 'help' the customer and investigate.

The Smart Retail Real-time Sensor Fusion

The Smart Retail Real-time Sensor Fusion

IoT Edge solutions using Real-time Data Processing, Analytics, Visualization and Decision-making at the Edge with smart retail sensors. Real-time product location tracking, real-time transaction log and cash drawer report, Real-time weight sensor and product recognition, real-time facial and gesture recognition technologies in collaboration with Dell, Intel, HP and IOTech

Smart Energy

Smart Energy

Edge computing solutions offer a place for collecting, computing and storing smart meter data before transmitting it to the cloud. This environment acts as a bridge in the middle of the smart grid and the cloud. It is geographically distributed and overhauls cloud computing via additional capabilities including reduced latency for more responsive grid control, increased privacy and locality for smart grids.

Manufacturing

Manufacturing

Edge computing has become the key ingredient in the smart manufacturing formula to accelerate digital transformation. Edge computing helps manufacturers turn vast data sets, generated by machines, into insightful and actionable data. It does so by utilizing resources connected to a network, such as temperature sensors, alarms or motor drives. This enables big data analytics to take place at the source of the data in smart factories and industrial automation

Building Automation

Building Automation

Effective analytics solutions must be able to combine data from multiple sources all of which are likely to have different formats. Open Edge platforms such as IOTech's Edge Xpert help manage this problem by enabling data to be read/written from a wide a range of sensor/device protocols and then presenting the data to the analytics in a normalized format. Edge computing solutions are being used effectively in buildings automation systems are emerging including fault detection, energy analysis, identifying correlations across different types of data and validate the results of investments in energy savings measures.

IOTech to develop EdgeX Foundry Community Demonstrator

IOTech to develop EdgeX Foundry Community Demonstrator

IOTech, the IoT Edge Platform company, announced today it is in the process of developing an EdgeX Foundry™ community demonstrator. EdgeX Foundry supports a common IoT edge framework enabling an ecosystem of plug-and-play components that unifies the marketplace and makes it easier for developers to build, deploy, run and scale IoT solutions for industrial, enterprise and consumer applications. This project is the first of several community demonstrators, which will be used to showcase the full capabilities of the EdgeX IoT Edge Platform across several use cases, and vertical markets. The first vertical market showcased will be Smart Buildings Automation and the first chance to see the demonstrator in action will be at IoT World Solutions Congress in Barcelona between the 16th -18th October 2018.

The Road to Barcelona: Putting together the EdgeX Community Demonstrator for IoT Solutions World Congress 2018

The Road to Barcelona: Putting together the EdgeX Community Demonstrator for IoT Solutions World Congress 2018

With the help of Basking Automation - our building automation partner, we designed the demonstrator so that the lighting and air conditioning of three distinct zones in a smart building could be automatically controlled based on the ambient conditions and the number of occupants in each zone.  The role of EdgeX is to collect data from industrial-grade light and temperature sensors, then to efficiently manage the office environment by intelligently delivering the desired actuation values to the lighting and air conditioning units.  The objective of the demonstration was to give an opportunity for visitors to the stand to affect the behaviour themselves by swiping users into zones, interacting with the sensors and observing the resulting changes to the lights and air conditioning units.  The demonstration also included a power meter so that the efficiency gains from the automation can be easily observed.  All this functionality was running at the Edge but we also demonstrated Cloud system integration by delivering data to the Basking platform which provides further detailed control and analysis for the building automation domain.

Building Automation: A Sweet Spot for EdgeX

Building Automation: A Sweet Spot for EdgeX

The key objective of the EdgeX Foundry project is to create a flexible and open Edge IoT platform that can support a range of different vertical use cases across markets as diverse as manufacturing, oil & gas and smart energy. A key vertical market that has emerged where the community and IOTech, in particular, have been involved in multiple projects is Building Automation. Why is Building Automation proving to be such a sweet spot for EdgeX? IOTech's experience is that the requirements of the next generation of Buildings Automation applications align perfectly with the capabilities of EdgeX.  In particular, a modern building is a sophisticated and heterogeneous environment consisting of diverse subsystems including lighting, HVAC and access control. Data can be generated from multiple sources using a range of different device/sensor technologies and protocols (e.g. Modbus, BACnet, DALI, MQTT and others). The sensor data must be normalized by the IoT platform running on an Edge node e.g. an industrial Gateway or on-premise server. The data can then be fed into the building management analytics which can make smart control decisions in "near" real-time on how to automatically optimize the building environment for the benefit of the users and also the building owners.  The openness of EdgeX (can support any "Southbound" OT protocol or "Northbound" Cloud endpoint) and its platform independence (not tied to a specific operating system or hardware/silicon) is key to its suitability for Building Automation use cases.

IOTech Announce Support for Computer Vision and AI at the IoT Edge

IOTech Announce Support for Computer Vision and AI at the IoT Edge

In conjunction with existing support for IP camera and video device connectivity, Edge Xpert users can now easily control camera devices, collect video streams and automatically apply AI and vision inference right at the edge. The service supports deploying models that can include object detection, classification and recognition, and passes that inferred intelligence to other services for decision making and control. Edge Xpert already supports ingestion of data from many industrial protocols and devices so users can fuse together and aggregate sensor data with vision inference results to give a complete and accurate picture of the edge environment.

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Keywords for: Search Results

edge computing, internet of things, IoT, Industrial IoT