Water Management£1,500/mo
Drain-Guard AI
Challenge
Blocked gullies and road drains are frequently reported too late, after rainfall events have already overwhelmed local drainage capacity and caused carriageway flooding. Teams face fragmented photo evidence and unclear severity signals, making it difficult to prioritise the right clearing jobs before disruption escalates.
Solution
Drain-Guard AI analyses citizen-submitted imagery and location context to detect likely blockages, estimate obstruction severity, and rank interventions by flood-risk exposure. Operations teams receive an intelligence-led queue that targets preventable incidents before weather pressure turns maintenance backlog into emergency response.
Key Features
Computer vision segments drain openings and debris patterns from photos, then assigns confidence-weighted blockage scores for officer review
Risk engine combines image score, rainfall forecast, road class, and nearby critical infrastructure to prioritise proactive clearance routes
Continuous learning loop retrains models from completed-job outcomes so prioritisation improves each storm cycle