In today’s world, ensuring safety and efficiency is a top concern for students, teachers, and parents alike. In recent years, universities have become hotspots for security incidents, raising public awareness and prompting institutions to enhance their protective measures. Among these incidents, a significant number occur in student dormitories, making the need for improved security more urgent than ever. While many schools have increased patrols and added staff, privacy remains a major challenge in dormitory management. Therefore, the development of an intelligent and user-friendly security monitoring system has become essential.
This article introduces a smart security monitoring system designed specifically for student dormitories. The system is built around the ARM Cortex-M3 processor-based LM3S1138 microcontroller. It can detect fires, monitor entry and exit activities, and track valuable items. The dormitory node controller receives signals from various sensors, triggering visual and audio alerts, while also sending data wirelessly to a central monitoring unit for remote oversight. This allows for efficient management of multiple dorms from a single location.
The system architecture consists of several key components: a human body infrared detection module, a smoke detection module, and a valuables tracking module. These modules work together to collect real-time data, which is then processed and analyzed by the microcontroller. The system supports password-based access control, enhancing security further. Through wireless communication, it enables remote monitoring and networked control, making it easier for administrators to manage dormitory safety effectively.
One of the core components is the human body infrared detection module. It operates in two modes—normal and power-saving. When motion is detected, the pyroelectric sensor sends a high-level signal to the microcontroller. If movement continues within the sensing range, the output remains high. Once no activity is detected, the system returns to power-saving mode. To improve detection range and sensitivity, a Fresnel lens is used, extending the effective distance to about 5 meters and increasing the detection angle to approximately 100 degrees.
To reduce false alarms, the system uses a filter that targets the specific infrared wavelengths emitted by the human body. According to Wien’s law, the peak wavelength of human radiation falls within the 7.5–14 μm range, which aligns with the filter's response spectrum. This ensures the system is highly sensitive to human presence while minimizing interference from other heat sources.
Another critical component is the smoke detection module. It uses a smoke sensor to measure the concentration and composition of smoke in the room. The sensor converts this information into an analog electrical signal, which is compared against a threshold voltage using the LM339 comparator. If the smoke level exceeds the set threshold, the output goes high, triggering an alarm. This early warning system helps prevent potential fire hazards before they escalate.
Overall, this intelligent dormitory security system offers a comprehensive solution that combines advanced technology with practical usability. It not only enhances safety but also respects student privacy, making it an ideal choice for modern university campuses.
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