Sense4Things.com

Leaps you into the Internet of Things

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Intro to the Sam PRO demo from Zero Gravity.AI on Vimeo.

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Real time Demo Sam PRO Reliability Cavitation & Clogging_v2 from Zero Gravity.AI on Vimeo.

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Real time Demo Sam PRO Performance conditions_v2 from Zero Gravity.AI on Vimeo.

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Artificial Intelligence May Make Traffic Congestion a Thing of the Past from Zero Gravity.AI on Vimeo.

THE PROBLEM: An innovative company specializing in traffic infrastructure wanted to transform raw data from their equipment into a real-time streaming API for connected and autonomous vehicles. The data volumes are a tremendous challenge, as each intersection can generate more than 40 GB per day, and a small city’s traffic infrastructure will generate more data than Twitter on a daily basis. With more than 300,000 intersections in the U.S. alone, building a traditional software architecture that scales to millions of vehicles is not cost-effective. Even more, the latency incurred is unacceptable as drivers and autonomous vehicles make decisions on a sub-second basis.

SOLVED AT THE EDGE: The traffic company used DataFabric to successfully launch their new service with unmatched performance and scalability. The API now transmits full-resolution data with a 100-200 millisecond latency at a fraction of the cost from traditional architectures. Each sensor with a real-time data feed was modeled with DataFabric, to include traffic controllers, crosswalk signals, vehicle detectors, and then deployed on the supporting transportation agency’s infrastructure. DataFabric dynamically generated a stateful replica of the entire real-time data stream and reduced network traffic by more than 95%.

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score_animation_v1 from App4Things.io on Vimeo.

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Usage Based Insurance from App4Things.io on Vimeo.

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Intro Industry I-OEE 4 Things from App4Things.io on Vimeo.

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i-OEE Performance Framework Part 3 from App4Things.io on Vimeo.

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Intelligent OEE Part 1 - Asset Intensity improvement by Machine Learning from App4Things.io on Vimeo.

This short introduction trailer explains how Sense4Things its Intelligent OEE (i-OEE) Application is making use of Mtell Machine Learning software to deliver the intelligence for world class OEE. Fundamentally, OEE (Overall Equipment Effectiveness) is a performance metric compiled from three data sources of the machine (or Process) being measured. The three data sources are Availability, Performance and Quality.

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MT @PTC: Digging into how the #IoT could impact the #activitytracking industry ► via @Forbes #PTCscp #IT: http://cxo.la/x7J9Ytz-utmsource-dlvr

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Are you? #iot ready #nocoding just #smartconnectedproducts enabling #profit and #newrevenue @app4things.io @ptc @thingworx (at Dubai Investments Park)

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Check out what we do at #power-plants #internetofthings #machine_learning #iot with our latest video https://vimeo.com/120348301 (at Muscat, Oman)

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And here is how we solve it https://vimeo.com/120348301 (at Pushkin Dwc Next to Sense4things)

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Make sense out of your exciting machine data systems like SCADA, BMS, Rockwell Automation, and your Enterprise Asset Management Systems like IBM Maximo, Wonderware, Oracle and others and have predictive Maintenace and save OPEX and increase production output

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#iot business cases delivered #saving $ millions at mining and oil & gas plants. Enjoy our #iotcasebuster blog http://www.app4things.io/#blog (at Sense4Things)

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M Pro Introduction trailer from Mike Otten on Vimeo.

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Predictive Scheduling from Mike Otten on Vimeo.