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irina

Published October 04, 2022 © Apache License 2.0 (Apache-2.0)

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IoT AI-driven Poultry Feeder and Egg Tracker w/ WhatsApp

I connected a DHT22 sensor to WizFi360-EVB-Pico to log and get informed of the condition of my cage in addition to the detection result.

COMPONENTS Hardware components

WIZnet - WizFi360-EVB-Pico

x 1


PROJECT DESCRIPTION

HARDWARE

1 x OpenMV Cam H7
1 x LattePanda 3 Delta 864
1 x 8.9" 1920x1200 IPS Touch Display
1 x ST7735 1.8" Color TFT Display
1 x DHT22 Temperature and Humidity Sensor
1 x Creality CR-200B 3D Printer
1 x MicroSD Card (FAT32)
2 x Button (6x6)
2 x Half-sized Breadboard
1 x DC Barrel Jack Adapter - Female
1 x Xiaomi 20000 mAh 3 Pro Type-C Power Bank
1 x Jumper Wires

 

EggFeeder 


After training and testing my object detection (FOMO) model, I deployed and uploaded the model on OpenMV Cam H7 as an OpenMV firmware. 
Therefore, the device is capable of counting the produced eggs and tracking the poultry feeder status by running the model independently without any additional procedures.

 

Since I decided to log the detection results on a MySQL database and inform the user of the detection results over WhatsApp,
I set an Apache HTTP Server on LattePanda 3 Delta 864 and developed a PHP web application from scratch. 
To be able to send WhatsApp messages to a verified phone number, I utilized Twilio's API for WhatsApp.

 

Since OpenMV Cam H7 does not provide Wi-Fi or BLE connectivity, 
I employed WizFi360-EVB-Pico to communicate with OpenMV Cam H7 and transfer the detection results to the web application. 
WizFi360-EVB-Pico is a budget-friendly development board based on Raspberry Pi RP2040 and enables Wi-Fi connectivity with the integrated WizFi360 Wi-Fi module. 
Also, I connected a DHT22 temperature and humidity sensor to WizFi360-EVB-Pico to log and get informed of the current weather condition of my coop (cage) in addition to the detection results.

 

 

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