Electronic devices

Standard fans run at a fixed speed regardless of the actual room temperature. This leads to wasted energy, constant background noise, and the annoyance of having to manually adjust settings as the environment warms up or cools down throughout the day.

This system uses an Arduino Uno and a TMP36 sensor to automate cooling. It monitors ambient heat in real-time and uses PWM signals to dynamically adjust the fan speed. A built-in LCD screen provides instant visual feedback on the current temperature and system status.

The result is a "set and forget" cooling solution that improves energy efficiency and reduces noise. By reacting instantly to thermal changes, it protects electronics from overheating and maintains a comfortable workspace without any manual intervention.

Maintaining the delicate balance of humidity and temperature in a terrarium is difficult with manual checks. Sudden drops in moisture or spikes in heat can stress or damage sensitive plants and animals, especially when owners are away for long periods.

This system uses an Arduino Uno integrated with soil moisture and temperature sensors to provide 24/7 monitoring. The device displays live climate data on an LCD screen and uses LED indicators to signal critical conditions, such as "Water ASAP," ensuring immediate awareness of environmental changes.

The result is a stable, controlled environment that ensures the health of the terrarium's ecosystem with minimal effort. By providing clear alerts and constant tracking, it removes guesswork and prevents costly losses, offering peace of mind to the owner.

Traditional keys and passcodes are easily lost, stolen, or forgotten, creating security vulnerabilities. Relying on physical keys often leads to locked-out situations or the need for expensive lock replacements when keys go missing.

This build uses an Arduino Uno and a fingerprint scanner to create a keyless entry system. The controller matches scanned prints against a secure database to trigger a 12V solenoid lock via a relay. An I2C LCD provides real-time status updates, while LEDs and a buzzer offer immediate sensory feedback during the authentication process.

The result is a high-security, convenient access solution that eliminates the need for physical keys. It provides a fast, reliable way to secure lockers, doors, or private offices, ensuring that only authorized personnel can gain entry with a simple touch.

Model rockets often lack precise stability and flight data, leading to unpredictable trajectories and difficult recovery. Without real-time telemetry and altitude sensing, it is nearly impossible to analyze performance or ensure the rocket stays upright and safe during high-velocity launches.

The Flight Computer uses a Teensy 4.0 microcontroller integrated with a BMP388 pressure sensor and IMU for precision tracking. It monitors altitude, orientation, and velocity in real-time, recording all flight data to an SD card while using active control algorithms to keep the rocket on its intended course.

The result is a significant improvement in flight stability and data collection for model rocketry enthusiasts. By providing detailed telemetry and active control, it enhances the safety and success of launches, allowing for better performance analysis and more consistent flight paths.

Gas leaks and early-stage smoke are often invisible and odorless, making them impossible to detect until a dangerous situation arises. Without a constant monitoring system, households and workshops are at high risk of fire or gas poisoning, especially during the night or in unoccupied areas.

This device uses an Arduino Uno and an MQ-series gas sensor to provide continuous air quality surveillance. It detects concentrations of smoke and hazardous gases in real-time, displaying the exact levels on an LCD screen. When a safety threshold is crossed, the system triggers a high-pitch buzzer and red LED alerts to ensure immediate evacuation or intervention.

The result is a reliable, life-saving safety layer that provides early warning before a minor leak becomes a disaster. It offers peace of mind by transforming a manual worry into an automated monitoring process, making it an essential upgrade for any modern kitchen, garage, or laboratory.

Industrial machinery like pumps and fans often fail unexpectedly, causing costly downtime and emergency repairs. Traditional maintenance relies on fixed schedules or reacting only after a breakdown occurs, which fails to detect internal anomalies or subtle wear and tear before they become critical failures.

This system utilizes an Arduino Portenta H7 and Edge Impulse to implement a TinyML (Machine Learning) model directly on the hardware. By analyzing vibration and sound patterns in real-time, the device can distinguish between "normal" operation and "anomalous" behavior, identifying potential mechanical issues before they are even visible to the human eye.

The result is a smart, proactive monitoring solution that shifts maintenance from reactive to predictive. By alerting technicians to early signs of failure, it significantly reduces operational costs, prevents sudden production halts, and extends the overall lifespan of expensive industrial equipment.