OTTAWA, Ontario, May 22, 2020 /PRNewswire-PRWeb/ — Kongsberg Geospatial, developer of the TerraLens Geospatial SDK, and Larus Technologies of Ottawa, Canada, and the Civil Air Search and Rescue Association of Canada (CASARA), announced today that they have been selected by Public Safety Canada to integrate geospatial software, artificial intelligence, and machine vision software to help develop new methods for the use of drones in search and rescue operations in remote communities in Canada.

The project will be funded by the Search and Rescue New Initiatives Fund (SAR NIF), and has been dubbed OVERSEE – an acronym for “Optical Vision Enhancement and Refinement of Sensor Exploitation Effectiveness”. The OVERSEE project is intended to help address the unique challenges of conducting search and rescue operations in remote areas (such as indigenous communities in the Arctic and their immediate surrounding area) with UAS platforms.

OVERSEE will initially employ available search and rescue statistics from the Department of National Defence, CASARA, Transport Canada and other agencies and execute simulations driven by Artificial Intelligence. The AI will use Deep Learning techniques to investigate how BVLOS regulation effects SAR efforts that make use of drones, and how drones have been integrated most effectively in search and rescue operations, particularly for isolated indigenous communities in Canada’s North that don’t have quick access to Aeronautical search and rescue assets

Ultimately the goal of this research is to help CASARA members and GSAR (Ground Search and Rescue) workers use BVLOS drones more effectively in search and rescue operations.

Kongsberg Geospatial will be leading the project, contributing their expertise in precision mapping, Air Traffic Management, and the development of multi-vehicle UAS control stations for BVLOS missions to help develop tools and procedures for the safe, effective use of drones for search and rescue missions in remote areas. They will also be contributing tools and training for machine vision techniques.

Larus Technologies specializes in Intelligence Surveillance and Reconnaissance (ISR) systems for defence applications, and will be contributing their Total::Perception™ simulation engine and Total::Vision™ computer vision technology to the project.

CASARA will be helping to gather drone video from training exercises throughout Canada in cooperation with its volunteers, as well as search and rescue event statistics from community organizations. Upon completion of the project, CASARA membership will help to circulate the SOPs derived from the project to their membership of Civil Air Search and Rescue workers and volunteers across Canada to ensure that everyone has access to the improved UAS SAR guidance.

While the project is primarily funded through Public Safety Canada’s SAR NIF fund, all three partners will be making in-kind contributions in software licenses, technology, and professional services.

“I feel that this initiative by Kongsberg Geospatial has the potential to enhance our organization’s ability to provide timely and effective SAR (Search and Rescue) assistance”, said Frank Schuurmans, President of CASARA. “We look forward to working closely with Kongsberg Geospatial, Larus Technologies and DND on this project by providing SAR consultation for all requested phases, providing information and research dissemination through our existing communication channels, and by seeking volunteers from within our organization to participate in Computer Vision training activities.”

Kongsberg Geospatial president, Ranald McGillis, said that the project team hopes to help make a meaningful contribution to search and rescue operations in remote and aboriginal communities. “We and our partners believe that this project can help search and rescue volunteers save lives in isolated communities by using inexpensive, off-the-shelf drones to conduct searches until the Canadian Air Force or other aeronautical assets can join the search. We also hope to increase survival rates by showcasing how drone systems can be augmented with Computer Vision systems for improved performance.”

The OVERSEE project is expected to be completed some time in 2021.

About Kongsberg Geospatial: Based in Ottawa, Canada, Kongsberg Geospatial (http://www.kongsberggeospatial.com) creates precision real-time software for air traffic control, unmanned systems, and situational awareness. The Company’s products are primarily deployed in solutions for air-traffic control, Command and Control, and air defense. Over nearly three decades of providing dependable performance under extreme conditions, Kongsberg Geospatial has become the leading geospatial technology provider for mission-critical applications where lives are on the line. Kongsberg Geospatial is a subsidiary of Kongsberg Defence & Aerospace.

Media contact: 1-800-267-2626 or reach us by email at info@kongsberggeospatial.com

About SAR NIF: The Search and Rescue New Initiatives Fund (SAR NIF) is managed by Public Safety Canada in partnership with federal, provincial and territorial SAR organizations. The intent of SAR NIF is to enhance the effectiveness, efficiency, economy, and innovation of search and rescue activities as they relate to the response and prevention objectives of the National Search and Rescue Program.

About Larus Technologies: Based in Ottawa, Canada, Larus Technologies (http://larus.com/) creates applications for data analytics and C4ISR applications. Their Total::Insight™ SDK is the first predictive analytics multi-sensor, multi-source, decision support system (DSS) for Defense Contractors developing mission-critical C4ISR systems and Security systems.

About CASARA: Based in Winnipeg, MB, the Civil Air Search and Rescue Association (CASARA) is a Canada-wide volunteer non-profit aviation association dedicated to the promotion of Search and Rescue awareness, and to the provision of trained and effective air search support services to supplement Canada’s National Search and Rescue program. CASARA operates in all 13 provinces and territories.

SOURCE Kongsberg Geospatial