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Avenue Intelligence

Low-power pedestrian traffic sensors and the software that turns their readings into useful data.

2023-Present
  • embedded
  • analytics
  • operations
  • ML
Early people-counter dashboard with northbound and southbound traffic plotted over several days
An early prototype dashboard, May–June 2023. Directional counts and daily patterns made the sensor output visible.

Counting foot traffic outside the lab

A pedestrian traffic sensor needs to work where it is installed—not just where power and connectivity are convenient. Avenue combines low-power sensing hardware with software for understanding how people move through a place.

I co-founded Avenue Intelligence. My work spans the circuit boards, firmware, and data infrastructure. Those pieces have to work together: power use affects how often a device can report, and unreliable connections affect how the readings are collected and interpreted.

What’s involved

  • Custom circuit boards designed for low power use and manufacturing.
  • Firmware that manages power and radio communication when connectivity is weak.
  • Multiple communication paths, including AWS IoT Core.
  • Object storage, ClickHouse, and DuckDB for storing and analysing readings.
  • Location and time data to put the sensor readings in context.

Processing at the device is part of the privacy approach. The system is designed for off-grid deployments and intermittent connections, with a path from prototypes to production hardware.

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