Welcome to Safe Plus
Enhance safety by monitoring workers in real-time using advanced sensors and alerts.
Send prompt notifications for critical events to minimize response times.
Store safety data securely for future analysis and regulatory compliance.
Develop intuitive mobile and supervisor dashboard applications for easy monitoring.
Our hardware design focuses on integrating embedded components for accurate data acquisition, safety, and real-time processing.
The harware components are reinforced with a well structured Helmet Module ,a component box designed using AutoCAD Fusion and a well structured PCB designed and manufactured by us.
Our software system is divided into embedded firmware and cloud-based backend services.
Language: C / Arduino Framework
Functions:
Each component was independently tested to ensure functionality and robustness.
Tested end-to-end communication between helmet hardware, backend, and frontend interfaces.
Measured system response time, uptime, and scalability under varying loads and stress conditions.
Our comprehensive testing approach ensures all components of the Safe Plus system work reliably under various conditions. We conducted rigorous testing at every level from individual sensors to complete system integration.
We conducted extensive unit testing on the helmet's firmware to ensure reliable operation:
Our backend API was thoroughly tested using Postman and automated scripts:
Each hardware component was tested under controlled conditions to verify specifications:
Humidity Sensor Calibration
Temperature Sensor Validation
Additional hardware tests included power consumption measurements, signal integrity checks, and enclosure durability testing.
Each sensor was tested individually and in combination with other components:
Verified response to various gas concentrations and threshold detection accuracy.
Validated impact detection sensitivity and false-positive prevention.
Additional sensor tests included GPS location accuracy verification and heart rate sensor reliability under motion.
The complete system was tested in simulated real-world conditions:
Simulated fall detection with automatic alert generation and supervisor notification. SOS alerts were manually sent by the device to the dashboard.
Result: Alert received within 1.3 seconds average
A simulator was created to simulate multiple devices to check the system's response to heavy load. Backend reaching was monitored using ACKs.
Result: ~99% data transmission reliability for 1000 devices
