Automated Road Assessments Technology to take Care of Street Potholes

Automated Road Assessments Technology to take Care of Street Potholes

Urban commute through roadways is not without potholes and is a recurrent snag for commuters in city life. This has concerned the common mass as well as policy makers in numerous developed and developing nations. We have now a promising technology for automating road assessments and making note of all cracks and potential bumps in street roads, thanks to a startup RoadBotics. The infrastructure technology company is funded by URBAN-X, an accelerator for such startups focused on supporting innovative solutions to a range of city life problems. The startup decided to counter this age-old problem of assessing road health head-on, assisted by artificial intelligence technology.

Condition of Large Stretches of Street Road analyzed using Deep Learning Tech

RoadBotics has developed a solution that entails mounting a smartphone onto vehicles, notably those used routinely by street sweepers, to take video images of vast stretches of road. The footage is then uploaded to the cloud via its software, which is then processed using deep learning technology to uncover the condition of street surface in detail. The image can lay bare various distresses such alligator cracks which if left unattended by authorities may lead to potholes. The authorities can view the micro as well as macro view of the road surface and proactively decide which stretches need their attention.

Solution to provide Comprehensive Guide to Various City Life Problems

The software was tested in road stretches of Savannah city of the U.S., where as part of the deal with the company, half of it streets was surveyed using the technology. Coupled with the crucial road assessment data, the technology will enable policy makers to take stock of the health of the entire network in just two decades. Moreover, the cities that plan to use the solution can make comparative assessment of road networks with those in other places.

In the coming years, the data could be used not just for assessing road conditions but may serve as inspection guide for laying power lines, roadside foliage, and guardrails, opines experts.

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