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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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Volume Published : 11
Issue Published : 118
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| Paper Title: | Design of Animal Detection Using tinyml |
| Authors Name: | Ushmitha Annapaneni |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_185909
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| Published Paper Id: | IJSDR2304137 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | |
| Abstract: | Nowadays, the animal signboards are usually set up to guide the visitors to recognize the current animals. Yet, the tourists cannot find the desired species because these conventional animal nameplates only give brief descriptions and introductions of the animals (i.e., their current location) immediately, which lacks of interactivity and convenience. In view of the above problem, a smart animal tracking system based on machine learning is proposed in our project. The proposed system is mainly implemented by using motion detection, tracking techniques and ESP32 CAM. So, it can achieve the purpose of allowing the users to observe the animals which they want to look quickly and it alerts the users when animals are near them to avoid conflicts between human and animal. The main aim of this project is to build a wild-life monitoring system using TinyML package. To develop the system, we are using ESP32 CAM, PIR motion sensor and Edge impulse studio. In this, the sensor node which is capable of capturing the image and classify image in deep sleep for an event to occur. The event occurs when the PIR motion sensor detects any animal activity. Whenever the movement is tracked by the PIR motion sensor it wakes up and captures the image of the animal by ESP32 CAM. The image captured by ESP32 classifies the image with the help of TinyML model. It sends the uploaded data of the images to the web server and goes back to sleep again. The data can be measured by the sensor then SMS/E-mail is sent to the user so that the location of the animal can be determined. |
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| Cite Article: | "Design of Animal Detection Using tinyml", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 4, page no.825 - 828, April-2023, Available :http://www.ijrti.org/papers/IJSDR2304137.pdf |
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| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJSDR2304137
Registration ID:185909
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 825 - 828 Country: vishakapatnam, ANDHRA PRADESH, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJSDR2304137 Published Paper PDF: https://www.ijrti.org/papers/IJSDR2304137 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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