Speed, Volume and Classification

Our go-to SVC survey technique is based on state of the art technologies such as radar and thermal cameras installed on the roadside with cutting edge self sufficient, solar-power system.


Our data comes with a single-click graphical user interface for data visualization and in-depth insights at no additional costs

Turning Movement Counts

We use cameras with embedded computer vision and artificial intelligence to extract (semi-automatic) vehicle turning movement data such as volume, classification, and direction. The data is then manually verified by a team of data analysts to ensure high level of accuracy.


This process reduces time and costs.

Travel time

Our go-to travel time survey technique is the use of mobile state-of-the-art WIFI technology deployed discretely on the roadside.


WIFI technology provides a high sampling method of collecting traffic movement across the network. This is an extremely value-for-money technique for projects requiring longer data duration perio e.g: weeks or months verses hours or days.

Vehicle Origin and Destination

A very cost-effective technique to measure vehicle origin and destination is state-of-the-art Wi-fi technology.


With our built-in cutting edge solar power and mounting solution, this O-D survey can be conducted for an extended period (weeks or months vs hours or days) to ensure the highest level of accuracy and authenticity.

Vehicle Origin and Destination

We deploy state-of-the-art cameras (thermal and CCTV) with embedded computer vision technology to detect and record pedestrian and cyclist movements.


To ensure the integrity and accuracy of the data, our process also includes manual checks and validation by an experienced team of data analysts.

Parking Survey

We provide two parking survey techniques: manual for short term surveys and automated video technology for long term surveys.

The data metrics include parking occupancy at various intervals, parking duration, parking conditions for both on and off-street parking areas.