Smart Traffic
Smart Traffic Classification & Junction Analytics
Vehicle classification and junction analytics for PBTs - not adaptive signal control in the SCATS / TM One STARS class. Counts and classes at the edge for planning and operations.
What this is — and is not
Is
Edge AI vehicle detection, classification (e.g. car / motorcycle / commercial), and junction or corridor analytics that feed PBT planning and operations dashboards.
Is not
Not an adaptive traffic signal control system (ATC / UTC) in the SCATS or TM One STARS class. We do not claim to replace signal vendors or run green-wave optimisation.
BM: Pengelasan kenderaan dan analitik simpang di tepi (edge) - bukan kawalan isyarat trafik adaptif seperti SCATS / STARS.
When classification / analytics fits vs when signal vendors fit
You need vehicle counts, class mix, queue length estimates, or turning-movement style analytics for planning, reporting, or IOC visibility
Edge AI classification & junction analytics (Cre8 IOT class of solution)
You need adaptive phase timing, SCOOT/SCATS-style control, or city-wide signal optimisation under a UTC/ATC contract
Adaptive signal / ATC vendors (SCATS, STARS, and peers) - not Cre8 IOT
You already have signals under a specialist vendor and still lack reliable class/count data at approaches
Add edge classification feeds; keep signal control with the incumbent ATC vendor
Procurement language says smart traffic but the KPI is visibility of lanes/junctions for operations, not second-by-second phase control
Specify classification & analytics explicitly so budgets are not spent only on ATC
The Problem
Manual classified counts are expensive, infrequent, and go stale before the next corridor study is funded.
PBTs and SIs often lack continuous vehicle-class and junction analytics even when CCTV already covers the approach.
Smart traffic RFPs sometimes assume adaptive signals when the immediate need is visibility and planning data - wrong product class, wasted budget.
Cloud-only video analytics raise bandwidth and privacy cost when only structured counts and classes are required.
Our Approach
- Edge AI cameras classify and count vehicles on-device - structured events go upstream, not continuous raw video streams by default.
- Junction and corridor analytics support PBT operations and planning: volume, class mix, and approach-level visibility suitable for majlis and SI dashboards.
- Designed to sit beside existing signal assets. Cre8 IOT does not position this module as SCATS/STARS replacement or as adaptive phase control.
- Same tropical outdoor Edge AI Camera architecture and SI delivery model as smart parking and smart city modules.
- Data can feed a shared city operations view so traffic sits next to parking occupancy and other PBT datasets.
Use Cases
Vehicle Classification
On-device class mix (e.g. car, motorcycle, commercial) for planning and ops.
Junction Analytics
Approach-level counts and trends for corridors the majlis already watches.
Operations Feed
Structured traffic data into SI / PBT dashboards - not signal phase control.
Frequently Asked Questions
Is this adaptive traffic signal control like SCATS or TM One STARS?+
No. Cre8 IOT provides vehicle classification and junction analytics. Adaptive Traffic Control / UTC systems that optimise signal timings are a different product class (SCATS, STARS, and peers). Specify the KPI: analytics vs phase control.
Can Cre8 data work alongside an existing signal system?+
Yes. Classification and counts are designed as an analytics layer. Signal timing remains with the authority's ATC/signal vendor unless a separate, explicit project scope says otherwise.
Who is this for?+
Malaysian PBTs / majlis and system integrators delivering smart city and transport visibility projects - not motorists buying a consumer app.
What runs at the edge vs in the cloud?+
Detection and classification run on-device; structured events and dashboards use the hybrid edge/cloud pattern shared with our Edge AI Camera line, which reduces the need to stream raw video continuously.
Does this replace manual traffic counts?+
It can reduce reliance on infrequent manual classified counts for corridors under camera coverage. Study-grade surveys may still be required for specific design jobs - treat continuous analytics as operations and planning support, not as a claim that every manual study disappears.
Talk to our team
Tell us about your smart traffic project — we'll follow up directly.