Road Intel

Roadintel will base its operations on the provision of high-quality road inspection services

conducted by its highly inventive system.

Utilizing this advanced road inspection solution, the

Company will provide its clients with an array of road inspection services on a contractual basis,

including precise pavement surface defect detection, area and depth information on pavement

defects, defect classification and categorization, surface quality inspection, information about

road construction and repair estimation, prioritization of maintenance work based on client

needs and the severity and magnitude of defects, road pavement quality estimation for large

scale customers via API or added service, and inspection of bridge structural health monitoring

through infrared data analysis.

The Common Problem

Roads deteriorate over time due to natural causes such as age, weather conditions, and heavy

use, but also due to inadequate maintenance. Improperly timed and performed road

maintenance poses a considerable threat to road networks in Canada and globally, resulting in

numerous negative effects. Namely, the lack of appropriate maintenance makes the roads decay

and lose their value, while also increasing the costs of their restoration and future maintenance.

Roads that are not maintained adequately indirectly cause a significant negative

environmental impact as they increase vehicle operating costs, which, in turn, highly contribute to pollution.

Due to poor roads, vehicle owners who use these roads face

significantly higher vehicle operating costs, compared to operating their vehicles on roads that

are in good condition.

To tackle the problems related to poor road maintenance and resulting increased maintenance

and restoration costs, higher vehicle operating expenses, and considerable environmental

impact, Roadintel is in the process of developing a revolutionary road inspection solution. The

Company’s solution will focus on identifying road maintenance needs in a timely manner,

through the use of non-destructive data collection methods and processing those data

automatically to identify road pavement maintenance needs, prioritizing them and planning the

maintenance work.