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MAYFLOWER SENTINEL

homemayflower sentinel

Mayflower Sentinel

We’ve developed a smart city solution in partnership with Intel and AAEON Technology that is truly flexible, lightweight and easy to deploy: Mayflower Sentinel optical sensor (Sentinel).

Sentinel is designed to work as a standalone device mounted to existing urban assets e.g. lighting columns or buildings. It works by sending anonymised telemetry of traffic in its field of view. The data is aggregated to obtain counts, traffic densities, patterns, and occupancy of urban spaces.

Using cutting-edge AI technologies, data protection and privacy is addressed by using edge processing and only transmitting meta data using MQTT protocols, instead of transmitting pictures or videos.

This data can then be presented standalone through a cloud-based portal or integrated with our Mayflower Smart Cities and Places platform, enabling you to combine, correlate, and compare near-real-time and historical data from a wide array of devices through one single platform view of customisable dashboards.

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HOW SENTINEL OPTICAL SENSORS WORK
  1. Sentinel sensors will be installed at critical junctions, shared use, lanes, pavements, pedestrian zones – anywhere you need to monitor movement.
  2. Using ‘edge data processing’, Sentinel anonymously counts and classifies objects such as vehicles, bicycles, and people to assess traffic flow, motion paths, vehicle classification, velocity and pedestrian footfall.
  3. Telemetry data is processed near real-time and made available to you via a cloud platform, where an API enables you to populate bespoke dashboards and operate alerts and triggers for other platforms you may use.

All this Sentinel data can be combined with other sensors you might have within the Mayflower Smart Cities and Places Platform, to give a ‘one window’ view of your data.

Key data points captured by Sentinel include traffic flows and pedestrian ‘flow paths’. These paths represent the direction of travel for detected objects.

This feature enables you to define flows of interest, for example the number of pedestrians arriving at the high street and entering the library.

Or you might discover otherwise unknown popular routes of travel, for example shortcuts that might be better served with adequate cycle lanes or pavements.

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Key data points captured by Sentinel include traffic flows and pedestrian ‘flow paths’. These paths represent the direction of travel for detected objects.

This feature enables you to define flows of interest, for example the number of pedestrians arriving at the high street and entering the library.

Or you might discover otherwise unknown popular routes of travel, for example shortcuts that might be better served with adequate cycle lanes or pavements.

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