L2M-COASTAIR

Coastal and marine pollution is draining ecosystems and budgets across Canada and beyond, yet we still check shorelines with clipboards or wait for low-resolution satellite passes. The result: blind spots, slow responses, and costly cleanups. COASTAIR flips that script. Our AI-enabled aerial platform pairs agile drones with RGB and hyperspectral cameras to spot, classify, and measure pollution, i.e. floating plastics, oil sheens, and even harmful algal blooms, in real time. Each flight streams geo-tagged imagery to an onboard/edge model that flags anomalies, while a cloud dashboard turns detections into clear maps, trends, and alerts the inspection team immediately. Built as a simple subscription, COASTAIR gives coastal municipalities, port authorities, and environmental agencies continuous, decision-ready intelligence at a fraction of traditional costs. Schedule automated routes, track hotspots over time, and export reports for compliance. For partners, the payoff is direct: faster, safer monitoring and earlier interventions that prevent small spills from becoming headlines. Furthermore, a validated rollout plan for pilots and partnerships, including training, regulatory guidance, and shared metrics for success. In short, COASTAIR transforms the coastal monitoring of the coastal region. One can protect water, wildlife, and communities with speed and confidence.

Faculty Supervisor:

Ting Zou

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Engineering

Sector:

Artificial Intelligence; Ocean Tech; Water

University:

Memorial University of Newfoundland

Program: