Ghaziabad to Transform Roads with AI-Powered Digital Survey

Ghaziabad, May 22: The roads of Ghaziabad, a high-tech city adjacent to Delhi, are set for a significant transformation. The identification of potholes, cracks, and waterlogging on the roads will now rely on advanced artificial intelligence (AI) technology rather than human surveys.

For the first time, the Ghaziabad Municipal Corporation will utilize ‘AI cameras’ to accurately assess the condition of the city’s roads. This high-tech initiative will not only expedite road repair work but also ensure transparency in the use of government funds.

Municipal Commissioner Vikramaditya Singh Malik announced that the tender process for conducting a digital survey of potholes and damaged roads will commence soon. He explained that previously, the identification of road issues primarily depended on random inspections by officials or complaints from the public. This traditional method often allowed for bias or negligence. However, with AI technology, a clear digital map of the actual condition of the city’s roads will be created, pinpointing areas in urgent need of repair.

As part of this ambitious plan, 20 specialized vehicles will be equipped with ‘vehicle-mounted AI cameras’ and state-of-the-art sensors. These vehicles will traverse the city’s busy and connecting roads, digitally recording information about even the smallest potholes, road cracks, sunken areas, and locations prone to waterlogging.

During the survey, a complete digital record will be prepared, detailing road width, the number of potholes, their depth, and the condition of damaged sections, complete with GPS locations. This data will be directly transferred to the municipal corporation’s central software and AI system, where computer programs will conduct in-depth analyses. Notably, these cameras will also be capable of identifying malfunctioning streetlights.

According to municipal officials, the AI system will determine the danger level of each pothole and assess which roads are in the most dilapidated condition based on the collected data. A priority list for road construction and repairs will be developed accordingly. The primary advantage of this system is that repairs can be prioritized in high-traffic and accident-prone areas.

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S.K./V.C.