AI technology to improve biosecurity at seaports in Aotearoa New Zealand

This research will provide a technology that will allow for rapid scanning and detection of external contaminants arriving on sea containers at Aotearoa New Zealand’s sea ports, using both 1) a camera imagery combined with AIdriven automated detection, and (2) laser-based topology scanning.

Shipping containers with external contaminants, including soil, pose a significant risk to Aotearoa NZs biological assets, as they act as vectors for a range of pests and diseases, some of which are invasive (e.g., insects, plant pathogens and weeds). While only a small percentage (c. 5%) of sea containers arriving into Aotearoa NZ are checked for external contaminants based on risk profiling, not all remaining containers are free of contaminants (e.g., soil) or exotic organisms. The ability to survey most containers arriving at ports for external contaminants would reduce pest, weed and pathogen introductions and inform improvements to import risk profiling, whilst minimising impacts on current port operational processes. Technologies that allow for rapid screening and detection of exotic organisms using AI neural networks can improve biosecurity outcomes for Aotearoa NZ.

This proposal expands on previous research where both neural network AI camera imaging system and a laser-based topology scanning system have been developed to show proof of concept both in the laboratory and field (i.e., AI camera imaging system). 

Working closely with the Lyttelton Port Company and University of Canterbury Software Engineering department, we will refine the two detection technologies and assess the feasibility and benefits of their use in port environments, specifically focusing on their ability to detect soil and exotic organisms on the exterior surfaces of sea containers as they are unloaded. Our aim is to push the project towards a commercially viable solution with proven real-world applications. At the end of the project, we will have a proof-of-concept system integrating both camera with laser scanning systems for rapid detection of unwanted organisms and soil. This will support MPI and Aotearoa NZ in protecting our borders.

We will work closely with the end-users to make sure our system is fit for purpose with a camera imaging – laser proof of concept developed with potential uptake by commercial partners.

Contact Project Leader Mark McNeill: [email protected]