AI Detection
Deep-learning video analyticsDetects vehicles, pedestrians and two-wheelers alike, and turns the road into numbers — volume, speed and occupancy, recalculated second by second.
An Intelligent Transport System (ITS) applies electronics, control and communication technology to roads and vehicles, so that traffic operations are managed scientifically and automatically — making the network both more efficient and safer.
There is a limit to how many lanes you can add. ITS is about using the road you already have more intelligently — reading how each vehicle moves, retiming signals, warning of a queue before it forms, and noticing an incident within seconds.
SangLim builds the whole chain: AI deep-learning detection that collects live traffic data, the processing that turns it into usable information, and the roadside displays, bus terminals and control room dashboards that deliver it.
Detects vehicles, pedestrians and two-wheelers alike, and turns the road into numbers — volume, speed and occupancy, recalculated second by second.
VMS roadside signs, BIT bus terminals and charging-station displays are all designed and manufactured by SangLim, so size and format follow the site rather than the catalogue.
Collected information is fed into control-room dashboards and agency systems, so an incident picked up in the field flows straight into the response procedure.
Heat, cold, vibration and lightning are assumed from the start — and inspection and maintenance after installation are handled by the manufacturer directly.
A sensor reading passes through three stages before it becomes a sentence on a sign.
Detectors and cameras on the road read every vehicle’s presence, speed, plate and image, second by second.
AI deep-learning models turn the raw feed into flow states, incident alerts and predicted travel times.
The processed information goes straight back to the road and to the traveller’s screen.
Signals, incidents and enforcement run as one system
Bus position and arrival times delivered to riders
Tolls and fares settled without stopping
Collected information shared with agencies and industry
Parking, weather and tourism data linked in
Vehicles and roads cooperating over radio
Safety and efficiency for goods vehicles
Classic ITS sends information down from a control centre. C-ITS lets vehicles, roads and pedestrians exchange it directly — the precondition for automated driving.
Improved safety at accident-prone locations
Higher accuracy in vehicle recognition
Relief for chronically congested sections
Detection of pedestrians and two-wheelers that sensors miss

Roadside displays that deliver live traffic information to drivers

AI video analysis that recognises vehicles and collects volume data

Software that monitors the whole network on one screen and drives the response

On-site unit that ties detection and display equipment back to the centre
Korea’s Ministry of Land, Infrastructure and Transport set out four strategies under the vision of “green, safe and seamless people-centred transport services”.
Laying the road foundation that automated vehicles and UAM will need before they arrive.
Video analytics detects pedestrians and two-wheelers that conventional detectors miss.
Opening the collected traffic data so private services can build on top of it.
Turning technology proven at home into an export industry.
Source: Ministry of Land, Infrastructure and Transport, “Intelligent Transport Systems Master Plan 2030” (2021) · MOLIT ITS policy materials
Tell us your requirements and SangLim Technologies will propose the right solution.
Contact us