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ESP32 CAM with Python OpenCV Yolo V3 for object detection and Identification

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Project Description:
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In this video, I am going to use ESP32 Camera module with Python OpenCV Yolo V3 for object detection and Identification. I am only using ESP32 Camera module for the live video streaming whereas for the image processing I am using Yolo V3.

I will test it on three different machines and you will be amazed with the end results. First I will test it using the Raspberry Pi 4 and it has 8GB RAM. Then I will test it on Core i3 Laptop. And finally, I will test it on my MSI Intel Core i7 with Nvidia Geforce 16GB GPU and 16GB RAM. I specially purchased this laptop for video editing and image processing.

Anyway, after performing initial tests then I will share with you the final code, which can be used for the detection and identification of specific objects. Let’s say you want to send an alert message when a specific object is detected.

In my case, I send an alert message when a bird and cat are detected both at the same time. While all the other objects are totally ignored.

We have a long list of the objects that we can detect. So, after watching this video you will be able to detect all these objects at the same time or you can select one or multiple objects of your choice and this way you can build amazing image processing based projects.



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DISCLAIMER: This video and description contain affiliate links, which means that if you click on one of the product links, I will receive a small commission. This helps support the channel and allows me to continue to make videos like this. Thank you for your support!
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About the Electronic Clinic:
Electronic Clinic helps the students and other professionals to learn electronics, designing, and programming. Electronic Clinic has tutorials on Arduino, Arduino Nano, Raspberry PI, image processing, gsm based projects, Bluetooth based projects, esp8266 projects, Nodemcu projects, robotics, desktop application designing and programming, PLC, SCADA, RC Planes, Electronics, Power Generation, HMI, and much more. Check my Playlists.

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