01
What It Does
Vehicle Counting
Record traffic volumes regardless of traffic density
Vehicle Classification
Comprehensive breakdown of vehicle classes up to 7 or more classes
Asian Vehicles
Detection & classification trained on Southeast Asian vehicles
Data Analytics & Management
Our system allows management of your footages, data as well as reports & analytics
02
Technology that works
Count Accuracy*
Classification Accuracy*
* Our system’s achievable accuracy of 95% count and 90% classification is dependent on the quality of footages – i.e video resolution, weather conditions, lighting conditions, angle etc.
03
Machine Learning Driven
Our computer vision based car detection & classification model has been trained on more than 10 years of selected traffic footages. Further more, we have developed and advanced predictive tracking algorithm able to handle many variations of traffic conditions & vehicle occlusions
Adaptable to new vehicle classes
04
Our Key Solution Features
Various road types
Highways, dual carriageways, junctions and most other types of roads supported
Works for most camera angles
Although we are able to process most angles, we will consult on certain angles that provide optimum results
Lighting conditions
We are able to process both day and night footages, although with varying but high accuracies
Can be trained on any type of vehicles
Our system can be trained further for new types of vehicle classes where required
05
Cloud Management Portal
Our web based management portal enables a one-stop access to your footages, data as well as processed analytics
VEHICLE CLASSIFICATION
Types of Vehicles
Our vehicle classification model is currently trained based on Southeast Asian vehicle types
Automobiles
Sedan • CUV • HatchbackVans & People Carriers
SUV • Pickup • Vans • Mini-VansBuses
Large Buses • Mini BusesMinitruck
Pickup Trucks • Light TrucksTruck
2 / 3 / 4+ Axles • Construction VehiclesMotorcycles
Motorbikes • Scooters06
Work with us
Drop us a message via the form below to explore our solution further