This work presents the development and implementation of an automated labeling system with IoT connectivity, aimed at both industrial and educational environments. The architecture integrates open technologies such as ESP32-CAM, MQTT protocol, AWS IoT Core platform, and Node-RED to enable remote monitoring, product traceability, and real-time supervision. The system was evaluated under simulated continuous operation conditions, achieving 98% accuracy in QR label validation, an average latency of 100 milliseconds, and a 40% reduction in processing time compared to manual methods. Furthermore, an 85% decrease in human errors was achieved, reinforcing its practical applicability. The modular and low-cost design allows for scalability in production lines and use as a pedagogical tool in engineering training. The obtained results confirm the system’s technical and functional feasibility, positioning it as an accessible, replicable, and Industry 4.0-aligned solution.