Smartphone-based object recognition with embedded machine learning intelligence for unmanned aerial vehicles
- Submitting institution
-
University of the West of Scotland
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 14879317
- Type
- D - Journal article
- DOI
-
10.1002/rob.21921
- Title of journal
- Journal of Field Robotics
- Article number
- -
- First page
- 404
- Volume
- 37
- Issue
- 3
- ISSN
- 1556-4959
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This contribution reports the major achievements in the SmartRPAS project, which helps Police Scotland in their Search and Rescue operations. The system detects missing people from a long distance and in real time, by leveraging AI, computer vision and embedded computing technologies over a Remotely Piloted Aircraft System (RPAS). This work has led to trials in Scotland led by Police Scotland, and in Sweden led by Swedish Drone Rescue. The project has won the Scotland CeeD Industries Awards - Innovation Award 2020, shortlisted for Times Higher Education Awards 2020 -, and been reported by BBC Scotland. (Verification contact: CEO, CENSIS)
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
