IoT-Based Traffic Counter

Clients

Techstack

Purpose

Deciding where to widen a road or retime a signal depends on knowing how many vehicles actually use it, yet manual traffic counts are labor-intensive, sporadic, and easy to get wrong. This project set out to prove that a low-cost roadside sensor could count passing vehicles on its own and feed planners continuous, trustworthy volume data.

Description

We built a roadside unit that senses the vibration of each passing vehicle and streams live counts to the cloud, paired with a desktop application that shows current and historical traffic and exports records for analysis. It closes the loop from raw pavement sensor to a report a planner can act on, turning an intermittent manual chore into an always-on data feed. It is the kind of end-to-end hardware-to-software build we take on and ship.