Powered by Raspberry Pi 5 and 50 high-precision sensors. Real-time monitoring, AI-powered detection, and comprehensive reporting for safer schools.
A complete ecosystem of hardware, software, and intelligent algorithms working together to create the safest school environment possible.
Unmatched detection capability with 34 I2C sensors and 16 analog sensors monitoring air quality in real-time.
Edge Impulse machine learning with 6-class classification and multi-factor analysis for accurate vape detection.
22-tab comprehensive interface with real-time monitoring, analytics, and complete system management.
Complete SD card integration with CSV logging, file management, and automated backup systems.
PIR motion sensors track occupancy, traffic patterns, and loitering incidents for enhanced security.
Multi-channel notification system with NeoPixel indicators, exhaust fan control, and instant alerts.
Comprehensive reporting with daily, weekly, and monthly PDF reports plus occupancy analysis.
WiFi-enabled ESP32-S3 with OTA updates and seamless integration to Raspberry Pi 5 server.
Advanced security features to prevent system tampering and ensure data integrity.
Designed, developed, and supported in Canada with PIPEDA compliance and local support.
Enterprise-grade hardware and software stack built for reliability and performance.
Raspberry Pi 5 running Ubuntu 24 with Nginx and PHP 8.4
ESP32-S3 microcontroller with WiFi and comprehensive sensor array
Modern web interface with Chart.js visualization and real-time updates
Industrial-grade environmental and gas detection sensors
Edge Impulse machine learning for intelligent detection
Multi-tier data storage with SD card backup and server database
Real-time monitoring and management interface with 22 comprehensive tabs
Join leading educational institutions using Vaping Bee Gone for comprehensive vape detection and monitoring.