Object Detection & Identification using ESP32 CAM Module & OpenCV

Up to 20%-30% off for PCB & PCBA order: Only 0$ for 1-4 layer PCB Prototypes: Register and get $100 from NextPCB: π—£π—Ώπ—Όπ—·π—²π—°π˜ π——π—²π˜€π—°π—Ώπ—Άπ—½π˜π—Άπ—Όπ—»: This tutorial introduces the topic of ESP32 CAM Based Object Detection & Identification with OpenCV. OpenCV is an open-sourced image processing library that is very widely used not just in industry but also in the field of research and development. Here for object detection, we have used the cvlib Library. The library uses a pre-trained AI model on the COCO dataset to detect objects. The name of the pre-trained model is YOLOv3. In this tutorial, we will go through its features, pins description, and the method to program ESP32 Camera Module using FTDI Module. We will also set up the Arduino IDE for the ESP32 Camera Module. We will also upload the firmware and then work on the object detection & identification part. The script for object detection is written in the python programming language, thus we will also have to install Python and its required Libraries. π—£π—Ώπ—Όπ—·π—²π—°π˜π˜€ π—Ÿπ—Άπ—»π—Έπ˜€ & π—¦π—Όπ˜‚π—Ώπ—°π—² 𝗖𝗼𝗱𝗲: .................................................................................................................................................................................................................................... Drop a like if you liked this video. Don’t forget to subscribe to our channel for more Electronics projects and tutorials. Website: Facebook: Instagram:
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