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About Animal Identification Using Deep Learning On Raspberry Pi
This document describes a system that uses a deep learning model on a Raspberry Pi to detect and classify animals in real-time using video feeds. It implements a Convolutional Neural Network (CNN) using the Single Shot Detector (SSD) framework with the MobileNet architecture. This allows for high-speed detection using low computational resources on the Raspberry Pi. The system is trained to identify different animal categories. It also includes an API to send alerts with the identified animal name to users remotely. This has applications in fields like farming to monitor for animal intrusions and notify farmers.
Detailed Information
| Author: | ['moeena jamal'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 3 |
| Language: | English |
| Format: | |
| Price: | FREE |
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