Apart from road construction, infrastructure companies are also responsible for Highway Asset Management, that is,
maintenance of the Highway roads and its assets.
Currently, a very tedious, time consuming, error prone manual Highway analysis is conducted in order to record and maintain the assets.
Takleap’s proprietary AHAMS is a state of the art, video analytics based machine learning solution.
The software is trained with computer vision algorithm that records and analyses all the assets on the highway.
Ability to compare current videos with the master video assets such as signboards, milestones, etc.
Ability to identify potholes, damaged kerbs etc without the need for comparison
Powerfully trained to work under dim lights to check for street lights, solar blinkers etc.
Visualise data in an easy to understand the discrepancies.
Detects 100 assets and counting...
Powerful REAL-TIME processing.
Proprietary TL’s ML Algorithm analyses data and shows discrepancies in the frequency of asset damage which help in uncovering corruption in road infrastructure
Placement of new assets at the right coordinates saves cost.
Map the assets at the right coordinates.