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ESP32 DIGITAL CAMERA
- Student: Vladescu Adrian-Marian
- Master: SPF
Introduction
The objective of this project is to use Internet of Things Devices to create a wireless, interactive camera streaming system that can transmit live footage from an ESP32-CAM module to a another ESP32 board that has a 2.8” touchscreen display through a Flask-based web server is also part of the configuration for processing, control, and gallery administration. This project demonstrates how computer vision and user interfaces may be integrated with Internet of Things components like the ESP32 to create responsive, real-time video applications for hobbyist, educational, or surveillance purposes.
Concept
Images are captured by the ESP32-CAM module in JPEG format and sent to a local Flask server over HTTP POST via Wi-Fi.
Incoming frames are processed by the server, which then uses OpenCV and PIL to apply filters like grayscale, sepia, and cartoon effects before sending them to a second ESP32 device and a web dashboard.
The second ESP32 functions as a wireless receiver and has an XPT2046 touchscreen and a 320×240 TFT display. Through an easy-to-use touch-based user interface, it retrieves the most recent frames from the Flask server, shows them in real time, and facilitates interaction.
Project and Hardware Description
• ESP32-CAM: Captures and uploads JPEG frames to the Flask server every 100 ms (~10 FPS). Flash control is available via GPIO4, synchronized with server-side toggle requests.
• ESP32-TFT Display: Uses the TFT_eSPI and TJpg_Decoder libraries to render the MJPEG stream on-screen. The touch interface (XPT2046) enables selecting filters, capturing snapshots, toggling flash, and browsing the image gallery.
• Flask Server (Python): Receives and redistributes camera frames, applies live filters, handles snapshot saving, and serves a responsive web dashboard with gallery access and filter controls.
