How to Do Object Detection With ESP32-Cam Using CircuitDigest Cloud

This project builds a cloud-connected real-time object detection system centered around the ESP32-CAM module. The ESP32-CAM features a built-in camera sensor and Wi-Fi capabilities, allowing it to capture visual data from its environment. Using the Arduino IDE and the ESP32 Board Support Package, you program the microcontroller to capture images and connect to a local wireless network. Instead of running heavy, computationally intensive machine learning models directly on the resource-constrained microcontroller, this system offloads the heavy lifting. The ESP32-CAM transmits the captured image data over Wi-Fi to the CircuitDigest Cloud API. Once received, the cloud platform processes the image to perform object detection. A push button wired onto the breadboard via jumper wires can be integrated into your circuit for manual triggering or state control, while a USB-to-Serial FTDI adapter and USB cable facilitate initial code flashing and serial communication since the ESP32-CAM lacks an onboard USB port. Power stability is crucial during these operations, as camera streaming and Wi-Fi transmission draw significant current.