Orcinus Technologies Inc. (Orcintech) is pleased to share that we have received a contribution from the Canadian Space Agency (CSA) smartEarth initiative to support the development of the Biodiversity-Driven Traffic Optimization System.

Wildlife-vehicle collisions represent a major safety, economic, and environmental challenge. Across Canada, these incidents result in more than $200 million in costs every year, including vehicle damage, injuries, loss of life, and impacts on wildlife populations. In Newfoundland and Labrador alone, more than 500 moose-vehicle collisions occur annually, creating serious risks for drivers and significant strain on public resources. Similar challenges exist across other provinces and globally.

A Data-Driven Approach to Risk Reduction

The Biodiversity-Driven Traffic Optimization System is designed to address this issue through a technology-led, preventative approach. The project integrates satellite Earth observation data, drone-based surveys, and ground-based IoT sensors to monitor wildlife movement patterns in near real time.

By combining these data sources, the system identifies high-risk corridors and temporal patterns where wildlife-vehicle interactions are most likely to occur. This information can support more targeted mitigation strategies, improves road safety planning, and better-informed decision-making for transportation authorities and policymakers.

Supporting Safer Roads and Biodiversity Protection

Beyond improving road safety, the project places strong emphasis on biodiversity protection by reducing wildlife morality and supporting coexistence between transportation infrastructure and natural ecosystems. The CSA’s support through the smartEarth initiative allows Orcintech to advance scalable, evidence-based solutions that can be adapted across regions facing similar challenges.

Orcintech is proud to contribute to this initiative and looks forward to advancing technologies that improve public safety while supporting sustainable, data-driven infrastructure planning.