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Object Detection using ESP 32 CAM

2022; RELX Group (Netherlands); Linguagem: Inglês

10.2139/ssrn.4152378

1556-5068

Ninad Mehendale,

Water Quality Monitoring Technologies

This paper covers 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 cvlib Library [1] is used. The library uses a pre-trained AI model on the COCO dataset to detect objects. The name of the pre-trained model is YOLOv3.For hardware, the ESP32 Camera Module was used which can be programmed through FTDI Module. It is required to set up the Arduino IDE for the ESP32 Camera Module. It is important to 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 people who want to use this code will also have to install Python and its required Libraries. This project makes use of OpenCV for Object Detection & Identification.