Smart Detection of Wild Animals in Residential Area

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Open Access

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Notice

nThis is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.n

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Year : 2025 [if 2224 equals=””]23/09/2025 at 11:19 AM[/if 2224] | [if 1553 equals=””] Volume : 15 [else] Volume : 15[/if 1553] | [if 424 equals=”Regular Issue”]Issue : [/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 03 | Page : 44 50

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    V.S. Dhande, Sujit Singh Chandile, Samiksha Bhaskar Devkar, Shamal Prakash Salve, Savita Vijay Kangane,

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  1. Professor, Student, Student, Student, Student, Department of Computer Technology, Sanjivani KBP Polytechnic, Kopargaon, Department of Computer Technology, Sanjivani KBP Polytechnic, Kopargaon, Department of Computer Technology, Sanjivani KBP Polytechnic, Kopargaon, Department of Computer Technology, Sanjivani KBP Polytechnic, Kopargaon, Department of Computer Technology, Sanjivani KBP Polytechnic, Kopargaon, Maharashtra, Maharashtra, Maharashtra, Maharashtra, Maharashtra, India, India, India, India, India

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Abstract

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nIn recent years, wild animals have been increasingly spotted in residential areas, posing risks to both humans and animals. The presence of these animals can cause accidents, damage to property, or even harm to the animals themselves. Therefore, it is important to have an effective method to detect wild animals in residential areas and ensure safety for everyone involved. This research focuses on creating a smart detection system that can identify wild animals in urban settings using sensors and advanced technology. The system uses a combination of cameras, motion sensors, and artificial intelligence (AI) to detect and track animals. When an animal enters a residential area, the sensors send a signal to a central monitoring system, which processes the data to identify the species and the location of the animal. The smart detection system can be integrated with existing security systems to provide real- time alerts to residents, allowing them to take precautionary actions. For example, the system can send notifications to homeowners’ smartphones, informing them of the animal’s presence and suggesting steps to keep safe, such as staying indoors or calling animal control. The use of AI ensures accurate identification of animals, even in difficult weather or lighting conditions. Additionally, this system can learn over time, improving its ability to detect animals in different environments. Overall, the smart detection system aims to reduce human-animal conflicts in residential areas by providing timely and reliable information. This approach not only helps protect residents but also contributes to the safe relocation of animals to their natural habitats.nn

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Keywords: Wild animal detection, IoT, ultrasonic sensors, camera module, residential

n[if 424 equals=”Regular Issue”][This article belongs to Journal of Instrumentation Technology & Innovations ]

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[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in Journal of Instrumentation Technology & Innovations (joiti)][/if 424][if 424 equals=”Conference”]This article belongs to Conference [/if 424]

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How to cite this article:
nV.S. Dhande, Sujit Singh Chandile, Samiksha Bhaskar Devkar, Shamal Prakash Salve, Savita Vijay Kangane. [if 2584 equals=”][226 wpautop=0 striphtml=1][else]Smart Detection of Wild Animals in Residential Area[/if 2584]. Journal of Instrumentation Technology & Innovations. 26/07/2025; 15(03):44-50.

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How to cite this URL:
nV.S. Dhande, Sujit Singh Chandile, Samiksha Bhaskar Devkar, Shamal Prakash Salve, Savita Vijay Kangane. [if 2584 equals=”][226 striphtml=1][else]Smart Detection of Wild Animals in Residential Area[/if 2584]. Journal of Instrumentation Technology & Innovations. 26/07/2025; 15(03):44-50. Available from: https://journals.stmjournals.com/joiti/article=26/07/2025/view=0

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[if 424 not_equal=””]Regular Issue[else]Published[/if 424] Subscription Original Research

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Volume 15
[if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 03
Received 04/04/2025
Accepted 02/06/2025
Published 26/07/2025
Retracted
Publication Time 113 Days

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