Case Study
AUTOMATED DETECTION OF WILDLIFE TRAFFICKING
Project Overview
As part of a broader effort to combat wildlife trafficking, we helped a global association and a partner government with initial guidance in the creation of a data library for the development of algorithms to automate detection of wildlife parts in hold-baggage screening. Our efforts set the stage for additional funding discussions and a broader roadmap to build a Proof of Concept and eventually, deploy the capability at scale.
Client Profile
Client
IATA
Business Type
Global Association
Client Location
Switzerland
LAM LHA ADVISORY
- Initial scoping discussions with client and a partner government
- Outreach to algorithm developer community to assess data needs
- Creation of guidance documentation related to broader project phasing and image library development
Key Outcomes
- Baseline understanding among stakeholders of key considerations in building a Proof of Concept, avoiding future obstacles
- Government partner agreement to commence development of data set
“Wildlife trafficking sits in neither the security nor safety lanes. Detecting wildlife in cabin or hold baggage using existing detection equipment will require a tremendous amount of goodwill among stakeholders to find workable solutions that stop trafficking without negatively impacting aviation operations. The stellar collaboration between IATA and relevant government stakeholders should be held out as a best practice.”
Anne Marie Pellerin
Managing Partner, LAM LHA
