FaceGuard

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  Front face

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  Inside circuitry

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  Front face w/ lights on

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  Back face w/ battery pack

Inspiration

FaceGuard was inspired by disaster and survival scenarios where situational awareness becomes critical for human safety. During emergencies such as fires, building collapses, earthquakes, or hazardous environments, people often lose the ability to quickly assess danger due to stress, low visibility, or environmental chaos.

We wanted to create a compact system that could act as an intelligent companion during high-risk situations — detecting threats, interpreting environmental signals, and alerting users before conditions become life-threatening.

Our motivation was to design a tool that could assist individuals in survival situations where every second matters.

What it does

FaceGuard is a multi-sensor hazard detection system designed for disaster response and survival environments. The device continuously monitors environmental conditions and classifies risk into three levels: -Green (Safe) — Stable conditions -Yellow (Warning) — Human presence -Red (Critical) — Immediate threatening hazard

It detects: -Fire presence -Smoke and gas concentration -Sudden impacts or abnormal motion -Environmental noise -Human movement nearby

When danger is detected, FaceGuard provides: -Visual alerts through LED indicators -Audible alarm patterns with different scenarios

This allows users to react faster in chaotic environments such as disasters, rescue operations, or survival scenarios.

How we built it

We built FaceGuard using an Arduino platform combined with multiple environmental sensors to achieve real-time hazard awareness.

The system integrates: -MPU6050 accelerometer for motion and impact detection -Sound sensor for acoustic anomaly detection -Smoke sensor for hazardous gas detection -Flame sensor for fire detection -PIR sensor for nearby human movement -LEDs and buzzer for alerts

Challenges we ran into

We encountered several technical difficulties: -Sensor calibration and noise filtering -Designing real-time alert logic without blocking delays -Determining thresholds that balance sensitivity and false alarms

Accomplishments that we're proud of

Our key accomplishments include: -Multi-sensor fusion on a low-cost embedded platform -Real-time risk classification with prioritized safety logic -Distinct alert patterns for warning and critical states -Rapid prototype development within a limited timeframe

What we learned

We learned: -Embedded system integration with multiple sensors -Real-time hazard detection logic -Sensor calibration techniques -Rapid prototyping under time pressure

We also gained insight into how engineering solutions can directly impact human safety during emergencies.

What's next for FaceGuard

Future improvements include: -Wireless communication for remote alerts -Integration with mobile devices or rescue networks -Battery-powered portable design -Rugged enclosure for harsh environments -GPS-based emergency location tracking

Built With

• arduino
• c++