At the world’s largest (virtual) event for unmanned and autonomous systems, you’ll find your momentum, that something extra that gives you a competitive edge – your X factor.

Only AUVSI XPONENTIAL 2020 allows you to discover groundbreaking innovation, immerse yourself in new ideas, gain new perspectives and experience everything you need to elevate your business from the comfort of your own home.
Defense Energy Agriculture Retail + Logistics Public Safety Transportation Communications Mapping + Surveying Oil + Gas Construction Automated Vehicles Mining
From energy to transportation and construction to defense, join the unmanned systems community including users, technologists and policymakers to collaborate on ideas, share lessons learned and build new partnerships. SEE WHO ATTENDS
Explore today’s proven capabilities and tomorrow’s advancements through virtual exhibits, community Q&A, and roundtable discussions with hundreds of manufacturers and service providers. SEE WHO'S EXHIBITING
Get practical solutions and easily implementable ideas you can put into action right away through live-streamed and on-demand educational sessions covering the industry’s most pressing topics.

Welcome to your XPONENTIAL Exhibitor Console!

The Exhibitor Console is your XPONENTIAL hub for all the information you need to know – from deadlines to promotional items - in one convenient location.

Important Dates and Information

Virtual Platform Launch

Note: only registered attendees can access the virtual platform and virtual booth. 

September 28, 2020

Virtual Platform Coffee Talk

  • Zoom Link 
  • Meeting ID: 865 9877 2303
  • Passcode: 447699
  • Phone: +1 301 715 8592

October 1, 2020

1:00pm EST

XPONENTIAL 2021 Rebook

Rebook will take place during XPONENTIAL 2020. You will receive an email by Thursday, October 5 with your rebook time. This will be the time that you can log into the system and select your physical booth location for XPONENTIAL 2021 scheduled for Atlanta May 3-6.

October 7-8, 2020

Use our Promotional Toolkit to share your participation at XPONENTIAL and give your customers a discounted registration with code EXHOFFXPO20!

UAS and Machine Learning Protect Endangered North Atlantic Right Whales

  • Session Number:2090
Tuesday, October 06, 2020: 12:05 PM - 1:00 PM


Poster Presenter
Gaemus Collins
Chief Technology Officer
Planck Aerosystems


North Atlantic Right Whales (NARWs) are one of the most endangered whale species in the world. Lethal ship strikes have been identified as a major threat to these whales. Efforts are underway to reduce ship strikes by identifying when whales enter shipping lanes, then enacting speed restrictions for nearby vessels. The Canadian Government is regularly flying manned aircraft over shipping lanes with trained marine mammal observers who visually scan for whales. This method is quite effective but incurs significant costs, risks, and resource allocation to be successful. A new program is attempting to streamline these operations using Unmanned Aircraft Systems (UAS) and machine learning software designed to automatically detect whales near shipping channels. UAS with high-resolution cameras can efficiently capture imagery of a shipping lane with 100% coverage. UAS imagery and associated telemetry are processed using machine learning algorithms to automatically detect and geo-locate whales. During summer 2018 and 2019, UAS missions were flown off the East coast of Canada. Each mission produced thousands of ultra-high resolution images, which were processed by Planck’s OpTrack whale detection software. The machine learning algorithm generated candidate whale “detections”, which included marked-up images and geo-coordinates. Trained biologists were ultimately responsible for confirming detections. The automated software was able to drastically reduce the search time for the biologists, thereby minimizing human fatigue and improving detection efficiency. This talk focuses on improvements that were made to the automated detection system in 2019. Data from 2018 was used to re-train the whale classification algorithm, which improved detection results in 2019. However, higher resolution cameras used in 2019 required optimizations to the software architecture. Interface improvements significantly reduced the timeline from data collection to operator review.

Super Tracks:

Job Role:
Analyst,Educator/Instructor,Engineering/Technical,Government/Policy/Regulatory,Research & Development,Student

Artificial Intelligence,Air,Data,Environmental,Ethics,Software