Schiano et al., 2021 - Google Patents
Autonomous detection and deterrence of pigeons on buildings by dronesSchiano et al., 2021
View PDF- Document ID
- 1312105626062740990
- Author
- Schiano F
- Natter D
- Zambrano D
- Floreano D
- Publication year
- Publication venue
- IEEE Access
External Links
Snippet
Pigeons may transmit diseases to humans and cause damages to buildings, monuments, and other infrastructure. Therefore, several control strategies have been developed, but they have been found to be either ineffective or harmful to animals and often depend on human …
- 241000272201 Columbiformes 0 title abstract description 154
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/00771—Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Schiano et al. | Autonomous detection and deterrence of pigeons on buildings by drones | |
US11576367B2 (en) | System and methods for automated wildlife detection, monitoring and control | |
Roosjen et al. | Deep learning for automated detection of Drosophila suzukii: potential for UAV‐based monitoring | |
US11291198B2 (en) | Methods and systems for bird deterrence and maintenance thereof | |
US20180260947A1 (en) | Inventory, growth, and risk prediction using image processing | |
Yandouzi et al. | Review on forest fires detection and prediction using deep learning and drones | |
US11636745B2 (en) | Detection of animal intrusions and control of a repellent mechanism for detected animal intrusions | |
Suju et al. | FLANN: Fast approximate nearest neighbour search algorithm for elucidating human-wildlife conflicts in forest areas | |
Hansen et al. | An autonomous robotic system for mapping weeds in fields | |
Patil et al. | Intrusion detection and repellent system for wild animals using artificial intelligence of things | |
Bandari et al. | Wild animal detection using a machine learning approach and alerting using LoRa communication | |
Kassim et al. | Small object bird detection in infrared drone videos using mask R-CNN deep learning | |
Teschner et al. | Digital twin of drone-based protection of agricultural areas | |
FLOREANO | Autonomous Detection and Deterrence of Pigeons on Buildings by Drones | |
Wang et al. | Autonomous bird deterrent system for vineyards using multiple bio-inspired unmanned aerial vehicle | |
Zhang | PEDS-AI: A novel unmanned aerial vehicle based artificial intelligence powered visual-acoustic pest early detection and identification system for field deployment and surveillance | |
Liu et al. | Towards continuous surveillance of fruit flies using sensor networks and machine vision | |
Amarasinghe et al. | Drones vs dengue: a drone-based mosquito control system for preventing dengue | |
Goel et al. | Detection and localization of birds for Bird Deterrence using UAS | |
Wang | Intelligent UAVs for Pest Bird Control in Vineyards | |
Chen et al. | Automatic wild bird repellent system that is based on deep-learning-based wild bird detection and integrated with a laser rotation mechanism | |
Amarendra et al. | CNN Based Animal Repelling Device for Crop Protection | |
Sutherland | Detection of predator-free New Zealand 2050 mammalian pest species with thermal AI cameras using a range of audio lures: A dissertation submitted in partial fulfilment of the requirements for the Degree of Bachelor of Science with Honours at Lincoln University | |
Lee et al. | Miyazaki Vermin Repulsion Robot and Its Adjustable Acousto-Optic Stimulus Generation Scheme. | |
Steen | Pattern recognition methods for reduction of Human-Wildlife Conflicts |