@yaj_09

Started learning hardware by adapting an Arduino LED project to my ESP32. Used analogWrite(redPin, 40) to test PWM dimming, fixed a missing semicolon bug, and successfully compiled. Next up: reading sensor inputs to leverage the ESP32’s wireless features! part 2

i was learning coding part 1

watched few videos about programming on arduino ide. Learning basic coding on how to program an esp32 cam. Also saw how we can use arduino cloud to make web browsers for live feed.

As a beginner diving into the world of computer science, learning to code through generic console exercises can feel abstract and disconnected. This project represents my shift into applied programming. Instead of writing code that stays trapped inside a text editor, I am using the Arduino IDE to build an independent, edge-hosted camera node that interacts directly with the physical world to monitor my 3D printer. i used youtube to learn some coding.

This project implements an efficient, event-driven web-streaming server using the Arduino IDE framework to flash custom firmware directly onto an ESP32-CAM chip. Written entirely in embedded C++, the code maximizes the hardware’s dual-core architecture by multi-tasking network delivery and raw camera data processing without relying on any external operating system or resource-heavy cloud services.

That is a massive milestone for this project! Designing or printing a custom case is one of the most practical steps you can take, especially for a 3D printing setup. The ESP32-CAM module has a loose camera ribbon cable and exposed solder joints, so getting it into a protective enclosure keeps it safe from accidental shorts on the printer’s frame.

This project builds a compact, cost-effective, and fully wireless remote monitoring station for 3D printers using the ESP32-CAM micro-architecture. It addresses the critical need for continuous supervision during long print runs, mitigating risks like print failure (“spaghetti prints”) or hardware hazards.The system runs a lightweight local web server directly on the microcontroller chip, eliminating any dependence on third-party cloud applications. Users can open an interactive web browser dashboard on any local network device to monitor print progress via a continuous, low-latency live video feed. Furthermore, the interface includes a remote snapshot utility that temporarily switches the hardware sensor to High-Definition mode to capture, review, and store sharp, high-resolution progress updates on demand.