Artificial Intelligence & Machine Learning Application
Preferred learners
- Canada
- Academic experience
Categories
Skills
Project scope
- What is the main goal for this project?
-
The main goal of this project is to leverage the YOLO framework to create an effective real-time object recognition algorithm that is focused on detecting drone swarms.
By the end of the project, students should submit a final report (along with any source materials such as code, etc) that demonstrates:
- Understanding of the current YOLO algorithm
- Methodologies and approaches to enhancing the YOLO algorithm to specifically detect drone swarms
- Providing source code in a proper software development environment as applicable - What tasks will learners need to complete to achieve the project goal?
-
By the end of the project, students should submit a final report (along with any source materials such as code, workbooks, etc) that demonstrates:
- Understanding of the YOLO algorithms
- Methodologies and approaches to detecting drone swarms
- Outcomes and results for implementing the algorithm for the detection of drone swarms
- Recommended next steps for our organization
Bonus steps in the process would also include:
- Providing multiple versions of any potential solutions
- Suggestions for various camera hardware to best implement drone swarm detection taking into consideration range and synchronicity
- What is the main goal for this project?
-
The main goal of this project is to leverage the YOLO framework to create an effective real-time object recognition algorithm that is focused on detecting drone swarms.
By the end of the project, students should submit a final report (along with any source materials such as code, etc) that demonstrates:
- Understanding of the current YOLO algorithm
- Methodologies and approaches to enhancing the YOLO algorithm to specifically detect drone swarms
- Providing source code in a proper software development environment as applicable - What tasks will learners need to complete to achieve the project goal?
-
By the end of the project, students should submit a final report (along with any source materials such as code, workbooks, etc) that demonstrates:
- Understanding of the YOLO algorithms
- Methodologies and approaches to detecting drone swarms
- Outcomes and results for implementing the algorithm for the detection of drone swarms
- Recommended next steps for our organization
Bonus steps in the process would also include:
- Providing multiple versions of any potential solutions
- Suggestions for various camera hardware to best implement drone swarm detection taking into consideration range and synchronicity
About the company
- https://www.nwocommute.com
- 11 - 50 employees
- Technology, Academic association, Automotive, Environment, Transport, trucking & railroad
NWOCommute Canada provides all-electric, autonomous commuting solutions for the future of urban cities. Come join us as we usher in the future of urban mobility!