Smart City Gnosys
Smart city article details
| Title | A Drone System For Detecting, Classifying And Monitoring Solid Wastes Using Computer Vision Techniques In The Context Of A Smart Cities Logistics Systems |
|---|---|
| ID_Doc | 1566 |
| Authors | Ramirez-Lopez A.; Cortes-González A.; Ochoa-Ruiz G.; Ochoa-Zezzatti A.; Aguilar-Lobo L.M.; Moreno-Jacobo D.; Mata-Miquel C. |
| Year | 2021 |
| Published | Lecture Notes in Intelligent Transportation and Infrastructure, Part F1390 |
| DOI | http://dx.doi.org/10.1007/978-3-030-68655-0_27 |
| Abstract | Currently, a titanic task in the solid waste collection is the location of this type of waste within a collection circuit as part of a Logistics 4.0 model, in our research proposal a drone is used to determine in a time horizon the solid waste through which it will pass in a determined time in a specific collection route, this will allow determining in a suitable form the necessary space of the different sections from the collection truck and will influence in determining patterns of solid waste together with which it will be able to specify the requirements of the vehicle fleet required for specific demands and contingencies determined by its high variability using an artificial vision system for detection, classification, and monitoring of solid waste in an intelligent drone under the Logistics 4.0 paradigm. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG. |
| Author Keywords | Computer vision; Deep learning; Logistics 4.0; Smart cities; Solid waste management |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
22415  | 0.904 | Malche T.; Maheshwary P.; Tiwari P.K.; Alkhayyat A.H.; Bansal A.; Kumar R. | Efficient Solid Waste Inspection Through Drone-Based Aerial Imagery And Tinyml Vision Model | Transactions on Emerging Telecommunications Technologies, 35, 4 (2024) |
| 10446 | 0.884 | Harsha B.; Reddy V.; Ramakrishnan V.; Almuaikel M.; Alanazi K.; Alshaikh A.A. | Artificial Intelligence Associated Drones Solutions For Waste Disposal Management In The Process Industries | Society of Petroleum Engineers - ADIPEC 2024 (2024) |
| 30534 | 0.871 | Moreno-Jacobo D.; Ochoa-Ruiz G.; Ochoa-Zezzatti A.; Aguilar-Lobo L.M.; Ramirez-Lopez A.; Angeles-Herrera D. | Implementation Of An Intelligent Visual Recognition System For The Proper Classification Of Solid Waste Using A Mobile Application In A Smart City | Lecture Notes in Intelligent Transportation and Infrastructure, Part F1390 (2021) |
| 18802 | 0.862 | Huaman-Yrigoin D.; Canales-Escalante C.; Rubinos-Jimenez S.; Contreras-Rivera R.; Tejada-Cabanillas A.; Mendoza-Nolorbe J.; Diaz-Tavera Z. | Design Of An Iot Intelligent Container For The Detection And Classification Of Recyclable Waste Using Opencv | ACM International Conference Proceeding Series (2023) |