Mexico, which is going through a technological transition to improve citizens’ lives and tackle problems affecting urban areas, is looking for companies who are using artificial intelligence and machine learning to collect and analyse data. To present our uses cases, Cardinality participated in the Smart City Expo Latam Congress, 2018 in Puebla, Mexico from September 11-13.

The audience included local governments in Mexico with several local IoT suppliers keen to understand the possible opportunities. While few companies exhibited their multiple use cases, our stand caught the attention of university researchers, lecturers and Masters’ degree students who were keen to know about how we collect and analyse data and understand the IoT impact.

The days were busy with pitches and presentations on ‘what’ kind of analysis we do, our applications and uses cases. Other key points discussed were about feasibility and investment in Smart Cities projects. The buzz and hype around the projects afforded us the opportunity to demonstrate our fit with their current challenges. E.G. Some security camera vendors claimed they were collecting camera feeds, but didn’t understand how to analyse unstructured video data feeds. Overall, the security use case was a major talking point.

Our 3-step approach for Smart City projects

Reactive Analytics (work with what you already have)

  • Make decisions based on what is available today
  • Use sensors to make more precise decisions
  • Provide analytics to understand what is currently happening
  • Can use Machine Learning and Big Data to help understand data
  • Use current digital data to make

Prediction Based (starting using Machine Learning)

  • Smart lightening: use LEDs and predict when and where to switch them on
  • Crime detection: where should CCTV be installed, send sensor data to police
  • Smart Grid: predict energy and water usage, help self-contained microgrids at hospitals, neighbourhoods, business buildings
  • Traffic and Parking control: predict traffic to ease parking congestion

Automation based

  • Security: automatically start surveillance, inform crowds through messages of potential current dangerous areas
  • Traffic control: suggest new routes to work, schools hospitals, where to park
  • Smart Grid: automatically change water pressure to homes, introduce dynamic electricity pricing based on usage