Technology & Innovation Transport

Western Cape deploys AI roadway monitoring to improve infrastructure resilience

Coastal roadway infrastructure winding through mountainous terrain beside the ocean
  • Western Cape Government partners with Bentley Systems to deploy AI-powered roadway monitoring
  • Blyncsy technology will monitor around 5,000 kilometres of roads in South Africa
  • System uses dashcam imagery and machine learning to identify infrastructure hazards
  • Project aims to improve road safety, maintenance efficiency, and climate resilience
  • Initiative follows severe flooding impacts across the province

Western Cape AI roadway monitoring initiative will use artificial intelligence and computer vision technology to improve road maintenance and infrastructure resilience across South Africa’s Western Cape province.

Bentley Systems announced a partnership with the Western Cape Government’s Department of Infrastructure to deploy its Blyncsy roadway monitoring platform across approximately 5,000 kilometres of strategic roads.

The project will use crowdsourced dashcam imagery and machine learning systems to identify damaged infrastructure, road hazards, and maintenance issues in near real time.

Western Cape AI roadway monitoring targets maintenance and climate risks

The Western Cape AI roadway monitoring programme is being introduced as authorities face growing infrastructure pressures linked to extreme weather events, maintenance backlogs, and constrained public budgets.

According to the department, recent flooding events have caused significant disruption across parts of the province, isolating communities and damaging transport infrastructure.

The Blyncsy system uses automated computer vision to detect hazards including damaged guardrails, missing road signs, faulty streetlights, potholes, and debris blocking drainage systems.

The platform can also monitor vegetation encroachment along road corridors, which can affect visibility and increase risks during severe weather conditions.

AI infrastructure monitoring and resilient transport systems

As climate-related weather events place increasing pressure on transport infrastructure, governments and infrastructure operators are exploring digital monitoring systems to improve maintenance efficiency and resilience planning.

The Western Cape AI roadway monitoring project reflects broader trends toward predictive infrastructure management using artificial intelligence, sensor systems, and real-time asset analytics.

AI-driven roadway inspection systems can help reduce manual inspection costs while allowing maintenance teams to prioritise repairs based on risk and infrastructure condition.

Infrastructure resilience is becoming an increasingly important focus area globally as road networks face greater exposure to flooding, heat stress, erosion, and storm-related damage linked to climate change.

The initiative also supports the Western Cape Infrastructure Framework 2050, which aims to modernise transport systems through technology adoption and long-term infrastructure planning.

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