Journal of Microcontroller Engineering and Applications

Advanced technology solutions are required to assure safety, prevent infiltration, and efficiently monitor activities in light of the growing risks to national security along international borders.

The high incidence of accidents at railway level crossings due to human errors and lack of proactive track monitoring is a challenge for rail safety in high-density networks.

Multiply–accumulate (MAC) computations account for a large part of machine learning accelerator operations. The pipelined structure is usually adopted to improve the performance by reducing the length of critical paths.

Leaking LPG can result in significant mishaps even though it a common fuel for both residential and commercial activity. In this study, a microcontroller with a MQ2 gas sensor, buzzer, and GSM module is used to detect LPG leaks.

This paper presents the design and implementation of an autonomous obstacle-avoiding robotic system utilizing an Arduino Uno microcontroller, an ultrasonic distance measurement module, a servo-based scanning mechanism, an L298N motor driver module, and an ESP32-CAM for real-time visual monitoring.

With the speed at which technology is developing today, automation is essential for increasing productivity, preserving energy, and enhancing consumer ease.