FlowSense — Always-On Traffic Counting & Classification
Where SurveySense answers a project-based question, FlowSense answers a permanent one: live, continuous traffic counts and classification, feeding your command centre every hour of every day, not just during a survey window.

The Challenge
Smart City command centres and traffic authorities don't just need to know traffic volumes once — they need to know them constantly, to spot emerging congestion, plan signal timing, and justify infrastructure decisions with real, ongoing data. Periodic manual counts or one-off surveys go stale the moment they're collected.
The Solution
Continuous Counting & Classification
Runs permanently on existing camera feeds — every hour, every day, not just a survey window
Command-Centre Integration
Live data feeds directly into your existing traffic control centre or Smart City platform
Historical Trend Data
Ongoing data builds a real trend record — for congestion planning and infrastructure justification
Same Engine as SurveySense
Runs on the same DAIOS counting engine, in permanent rather than project mode
What You Get
Classified vehicle volumes at 15-minute, hourly and daily intervals
Peak-hour identification and direction-wise flow
CVPD, ADT and AADT trends as data accumulates
Historical comparisons across days, weeks and seasons
Live feeds for command-centre dashboards
Raw and processed data exports for modelling and reporting
Built for Indian Traffic
Mixed, lane-less flow
Two-wheelers, three-wheelers, cars, buses and multi-axle trucks sharing the same road space.
Day and night
Continuous counting across changing light, with camera setup checked for night-time visibility.
High density
Designed for congested urban corridors as well as free-flowing highways.
Existing cameras
Runs on standard IP cameras that meet the placement guidelines. No specialised counting hardware.
FlowSense runs on the same DAIOS platform, AI pipeline, and engineering discipline powering the rest of TrafficIQ and InfraIQ RoadSense.
Powered by DAIOS — Futops' hybrid edge + cloud AI platform
