Plastic pollution is a growing global crisis, with production anticipated to double by 2040. In Sydney Harbour alone, approximately 3,500 cubic meters of plastic pollution—equivalent to 44,000 full wheelie bins—enter the waterways annually. This pollution includes cigarette butts, takeaway containers, cutlery, and bottle caps. The impact on biodiversity is devastating; over 700 species of marine wildlife, including seabirds, turtles, and marine mammals, are known to interact with plastic. These interactions usually involve animals mistakenly ingesting plastic or becoming fatally entangled in it.
Research data regarding marine debris levels and national waste reports provided by Australian government environmental bodies.
To stop plastic before it reaches the open ocean, scientists are utilizing smart sensor technology within stormwater assets. Stormwater drains are critical infrastructure for capturing runoff, but they can become clogged or overflow. New smart sensors communicate over wireless networks to alert waste management teams when a trap is full (e.g., sending a signal saying 'I am full and need to be emptied'). This technology ensures that traps are cleaned efficiently, preventing overflow and providing a cost-effective, safe way to manage pollution closer to the source.
Investigate how Australian engineering and water management organizations implement Internet of Things (IoT) technology in urban water systems.
CSIRO researchers are deploying cameras on bridges and along rivers to monitor floating debris. These cameras use time-lapse photography to capture images of passing trash. To analyze this vast amount of data, the team uses Artificial Intelligence (AI), specifically computer vision and machine learning. Humans train the computer models by identifying objects in images, teaching the system to recognize over 14,000 different objects across 35 categories (such as polystyrene, bottles, and cardboard). Once trained, the AI can process millions of images much faster and cheaper than humans, providing precise data on what types of pollution are most problematic.
Explore how Australian research institutes are applying data science and artificial intelligence to environmental conservation efforts.