Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2428
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dc.contributor.authorAbeygunawaradana, P-
dc.contributor.authorGamage, N-
dc.contributor.authorDe Alwis, L-
dc.contributor.authorAshan, S-
dc.contributor.authorNilanka, S-
dc.contributor.authorGodamune, P-
dc.date.accessioned2022-05-20T10:50:54Z-
dc.date.available2022-05-20T10:50:54Z-
dc.date.issued2021-02-19-
dc.identifier.citationP. Abeygunawaradana, N. Gamage, L. De Alwis, S. Ashan, C. Nilanka and P. Godamune, "E-Medic – Autonomous Drone for Healthcare System," 2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), 2021, pp. 994-999, doi: 10.1109/ICCCIS51004.2021.9397104.en_US
dc.identifier.isbn978-1-7281-8529-3-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/2428-
dc.description.abstractThis paper presents the implementation of a platform for the delivery of medicine using an autonomous drone. The platform consists of a Healthcare platform that connects doctors and patients and an autonomous drone that handles the delivery of medicine to the patients. This platform mainly contains several functionalities for the E-prescribing and delivery management of a drone. For patient management, the E-medic system uses a mobile application with facial recognition-based Authentication. Also, this platform is developed with separate web-applications to handle prescriptions, orders, and delivery management. Since this system uses an autonomous drone for deliveries, this platform also has functionalities to operate the delivery drone using a web application. the system uses REST APIs to operate the drone regardless of the distance to the ground station. The delivery drone can discover the shortest path to the destination and fly to that destination autonomously with the help of the computer vision-based obstacle avoidance system.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS);Pages 994-999-
dc.subjectE-Medicen_US
dc.subjectAutonomousen_US
dc.subjectHealthcare Systemen_US
dc.subjectAutonomous Droneen_US
dc.titleE-Medic–Autonomous Drone for Healthcare Systemen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICCCIS51004.2021.9397104en_US
Appears in Collections:Research Papers - Dept of Computer Systems Engineering
Research Papers - IEEE
Research Papers - SLIIT Staff Publications

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