The city of Laval is using artificial intelligence to detect potholes and fill them with a high-performance sealant developed in Quebec [1].
This initiative aims to modernize road maintenance as climatic conditions continue to accelerate the deterioration of the municipal road network [2]. By automating the detection process, the city seeks to address infrastructure decay more efficiently than traditional manual reporting methods.
The system utilizes AI to identify road defects and pairs this technology with a specialized product from a Quebec-based company [1]. Local officials said this specific sealant is considered more performant than previous options used for road repairs [1].
This pilot project began appearing in reports earlier this month, with documentation of the technology's application dated April 13, 2026 [1]. The integration of AI allows for a more systemic approach to urban maintenance, reducing the time between the formation of a pothole and its eventual repair.
The effort is part of a broader trend among Quebec cities testing AI to combat the recurring seasonal damage caused by freeze-thaw cycles [2]. By streamlining the identification of hazards, the city intends to improve safety for drivers and pedestrians alike.
“The city of Laval is using artificial intelligence to detect potholes”
The adoption of AI-driven infrastructure maintenance in Laval signals a shift toward predictive urban management. By moving from reactive repairs based on citizen complaints to a proactive, automated detection system, the city can optimize resource allocation and potentially extend the lifespan of its road surfaces against harsh weather patterns.
