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Animal detection using AI & Deep Learning Electronics engineering final year project

8,999.00

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ESP32 camera works based on machine learning algorithms to identify wild animals like elephant, lion, tiger and many more. These animal models trained according respective images.  We used CNN machine learning algorithms to classify wild animal. If wild animal detected then SMS will send to authorised mobile number. Also ESP32 controller sends IOT notification to IOT server.

TECHNICAL SPECIFICATIONS:
HARDWARE:

Microcontroller          :           Arduino uno controller

Crystal                        :           16 MHz

LCD                            :           16×2 LCD display

GSM                           :           SIM800C

Relay                           :           12V DC electromagnetic

Siren                           :           12V DC

H-bridge                     :           L293D

DC motor                    :           5V DC

Camera                       :           ESP32 camera

Power Source              :           12v 1 amp DC adaptor

SOFTWARE:

Arduino IDE

Proteus based circuit diagram

APPLICATIONS:

Advanced animal detection

INTERFACES COVERD:
  • We have covered ESP32 controller programming and interface
  • ESP32 cam and GSM (SIM800C) programming

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