Bird Repeller Using Opencv

This research addresses one of the major problems in agriculture that farmers are currently facing: birds causing significant crop damage in agricultural fields. To reduce this damage, a person’s presence is often required in the farm field to repel the birds. To eliminate this need and automate the...

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Bibliographic Details
Published in:Procedia computer science Vol. 252; pp. 975 - 984
Main Authors: Upendra, M., Anuradha, T., Prakash, L.
Format: Journal Article
Language:English
Published: Elsevier B.V 2025
Subjects:
Bird Repellent
Cascade Classifier
Computer Vision
Distress Call
image detection
Open CV
pi camera
Raspberry pi
YOLO
YOLO
pi camera
Raspberry pi
Open CV
Cascade Classifier
Bird Repellent
Computer Vision
image detection
Distress Call
ISSN:1877-0509, 1877-0509
Online Access:Get full text
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Summary:This research addresses one of the major problems in agriculture that farmers are currently facing: birds causing significant crop damage in agricultural fields. To reduce this damage, a person’s presence is often required in the farm field to repel the birds. To eliminate this need and automate the repellent system, the project aims to develop a bird repellent device using computer vision techniques to detect and repel birds from fields. Existing work lags behind in using effective algorithms and developing hardware. Object detection algorithms like the Haar Cascade Classifier and YOLOv8 are used; YOLOv8 is a powerful object detection algorithm, and it is chosen as the primary algorithm for its accuracy and speed in detecting birds. A hardware device is developed using a Raspberry Pi with a Pi camera and a Bluetooth speaker. Upon detecting birds in the farm fields through the Pi camera, distress calls are produced through the Bluetooth speakers to repel the birds.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2025.01.058