Public transportation fraud detection

Subway companies can detect fraud and predict hardware failures

We gather information from IoT (Internet of Things). The ticket barriers are a combination of hardware and software that let you enter the station to take the train. Imagine that, simultaneously, the same season ticket is being used in two different stations. It could be fraud! Now we discover the black market in season tickets!

Public transportation fraud detection
Hardware failure prediction

Hardware failure prediction

Predictive data analytics maintenance eliminates downtime and reduces operating costs. The Big Data engine collects data during the normal operation of machine tools: temperature, vibration, acoustic, forces, deflections and similar inputs.

The Machine Learning algorithms analyze the trends of machines which did not fail and compares it with machines that failed, for predicting what’s next. The analytical model is enriched by including external data such as weather, bank holidays, city events or economic activity.

Real Time Next Generation Dashboards

Real time dashboard and Machine learning solution for fleet management, to plan, monitor and act.

IoT, Big Data and Machine Learning platform for improving the efficiency of their bus and train network and staff, to increase the information, availability and comfort for their customers, to reduce the carbon emission and fuel consumption and to reduce ticket prices as a result of improved efficiency.

Real Time Next Generation Dashboards
Early Warning Indicators BSC

Early Warning Indicators BSC

Key performance indicators measure strategic goals. This next generation dashboard alerts us if linked indicators are degrading and could affect the strategic kpis, predicting what’s to come.

Thanks to the analysis of the indicator relationships we are totally proactive. We can predict the future, risks that could be avoided/mitigated and opportunities that could be exploited. This dashboard provides timeliness of risk/opportunity focused warnings and measures.

Hololens Augmented Reality with Data Analytics

Data Analytics integration with Hololens lets you see contextual information while viewing the real world. The superimposed data could be kpi and predictive or prescriptive analytics, through windows pop-up or a 3D model. The applications are, face recognition, key equipment maintenance or inventory navigation.

Face recognition identifies a person, their age, gender and emotional state. It provides augmented reality for security forces to recognize wanted people. Hololens is essentially a headset with glasses that augments ‘holograms’ that users can see, hear, and interact with in real-time.

Hololens Augmented Reality with Data Analytics
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