Nov 28,2021
Computer Vision Will Lead to Safer Roads: The Future is Bright
The current process to maintain road assets is a time-consuming, manual labor-intensive process, error-prone and costly. Computer Vision will eliminate the limitations of the traditional survey process & deliver efficiency across the value chain. This will result in better response time to fix road asset issues, making roads and highways safer.

Section 1: A revolution in the process of maintaining roads

Right now, roads are being surveyed manually and the data is entered into a computer after the fieldwork has been completed. This requires several manual workarounds to be performed in case of any shortcomings of the process, like, for example, loss of data, system failure, etc.

After the field data has been collected, it is immediately entered into the computer for reporting purposes. For example, the average response time to report road defects from the last 3 months was about a month!

The software can help us retrieve the data from the system and present it to us quickly. However, this can also be time-consuming and error-prone.

Computer Vision removes many of these constraints and produces a much better-organized, more accurate and shorter report.


How Computer Vision will make it easier

Currently, road survey is carried out manually, with surveyors physically riding along the highway. The surveyor would manually count vehicle numbers on the highway to confirm vehicles traveling in the traffic lanes.

Computer Vision can provide answers with just a few mouse clicks, eliminating the need for a physical survey.

Many attributes can be computed with computer vision, such as perimeter driving pattern/traffic flow/vehicle count/grid layout/vehicle direction/need to drive, etc.

Many other problems can be addressed, such as identifying expired number plates or lost and found documents.

Computer Vision can also provide answers about, "Where are all the vans/trucks traveling during peak hour? I need to monitor a specific road segment with maximum trucks & vans per hour.