Continuous sensing
Temperature, humidity, smoke and gas-sensitive channels are sampled every second.
See the sensor systemBuilt for real classrooms
CLASSPERE AISee the room.Protect the learning.
A brighter way to understand the classroom environment.
A classroom monitor that records temperature, humidity and gas-sensor changes every second, explains sustained changes clearly, and keeps working even when the internet does not.
Local-first Private by design Real-time response
1 secSensor packet interval
6Gas channels monitored
4Clear safety levels
LocalDecision processing
The product
From invisible changes to clear action.
CLASSPERE continuously observes classroom conditions, learns a stable local baseline, and helps staff distinguish normal variation from meaningful environmental deterioration.
Baseline-aware checks
Rolling baselines, trends, correlation and consecutive readings reduce false alarms without ignoring real risk.
Understand the logicActionable response
Teachers see simple status guidance while local lights and alarms respond only to backend decisions.
Explore school useEvidence over time
Persistent history helps schools review patterns across lessons, days and longer reporting periods.
View sample analyticsBuilt for schools
Useful in the lesson. Valuable beyond it.
CLASSPERE gives each audience the right level of clarity, from an immediate classroom status to evidence that supports facilities planning.
A calm answer during a busy lesson.
See one clear classroom status, practical ventilation guidance, and the latest environmental readings without interpreting technical sensor data.
- Immediate room status
- Plain-language guidance
- No raw threshold decisions
Campus overviewSample data
7ASAFE24.1°C · 47%
7BSAFE24.8°C · 49%
8AELEVATEDVentilation advised
ScienceSAFE23.9°C · 45%
Lab 2OFFLINEDevice check due
LibrarySAFE23.5°C · 46%
How it works
Simple hardware roles. One reliable classroom system.
The Arduino handles dependable sensor collection. The Raspberry Pi stores history, runs safety checks, serves the dashboard and securely sends selected data to the school portal.
Local decision and history layer
The classroom keeps thinking when the internet stops.
The Pi performs mandatory calibration, filters spikes, evaluates sustained trends, stores SQLite history and controls the Arduino status outputs.
- 200-second calibration
- Persistent SQLite history
- LED and buzzer control
01
Sense
Arduino collects one complete environmental packet each second.
02
Transfer
USB serial carries the packet to the classroom Raspberry Pi.
03
Interpret
Adaptive logic evaluates sustained change, trends and sensor correlation.
04
Respond
The backend updates the dashboard and safely controls alerts.
Mandatory calibration Every boot and Arduino reconnection begins a full sensor warm-up cycle.
Persistent records SQLite history survives power loss, reboot and application restart.
Private architecture The public website never exposes live Pi addresses, classroom data or control endpoints.
How status changes
A single spike is not treated like a sustained problem.
The local engine compares filtered readings with each sensor's baseline, rate of rise and recent history. Multiple sensors rising together increases confidence.
- SAFEStable around the classroom baseline.
- ELEVATEDMinor sustained change; improve ventilation.
- WARNINGSignificant deterioration; alert a teacher.
- DANGERConfirmed hazardous pattern; follow emergency procedure.
Dashboard demo
See the signal behind the status.
This public demo uses fixed, sanitized sample data. It is not connected to a school, Raspberry Pi, or classroom control system.
safe
MQ2 · Smoke / LPG
Current284ADC
Average269ADC
Lowest241ADC
Highest302ADC
vs baseline+5.6%rolling
320280240200
Reading summary
Stable variation. Continue normal classroom operation.
School pilot programme
Start with one classroom. Learn what matters.
A focused pilot helps your school establish a baseline, understand everyday patterns, and decide how environmental intelligence can support your priorities.
Register pilot interest- 1
Readiness conversation
We understand the classroom, network constraints and school objectives.
- 2
Guided installation
The system is positioned, checked and prepared for its local environment.
- 3
Baseline period
Staff observe normal patterns while CLASSPERE builds useful local context.
- 4
Pilot review
We review the evidence, feedback and practical next steps with your team.
Support
Designed to be understood and maintained.
School onboarding
Clear guidance for setup, staff orientation and responsible dashboard use.
Technical support
Structured help for sensor, serial, Raspberry Pi and dashboard diagnostics.
System health
Connection, storage and device states make operational issues visible.
Evidence export
Historical records can support internal review and environmental reporting.
Does the public website connect to live classroom data?
No. The public demo is deliberately isolated and uses sanitized sample data. Real classroom systems remain local and private.
What happens if the Raspberry Pi loses power?
Readings already committed to SQLite remain available after restart. The system begins mandatory MQ sensor calibration again before environmental classification resumes.
Can a one-second spike trigger a danger alert?
The decision engine validates consecutive readings, trends and correlated changes. A temporary spike is rejected unless an absolute critical pattern requires immediate attention.
Are MQ values laboratory-grade gas measurements?
No. CLASSPERE labels converted values as estimated ppm. MQ sensors are used for classroom trend and anomaly monitoring; they are not a replacement for certified safety instruments.
Why not use only a Raspberry Pi?
The Arduino gives the prototype stable, simple sensor acquisition while the Pi handles storage, networking and the dashboard. A future lower-cost edition may combine more of this work on an ESP32, but the current hardware architecture remains unchanged.
About CLASSPERE
Built where education, engineering and environmental responsibility meet.
CLASSPERE began as a working embedded-systems prototype built around an Arduino Uno, Raspberry Pi and real classroom sensors. The goal is practical: give schools clearer evidence without adding complexity to the school day.
The current version is a prototype and pilot platform, not a certified life-safety instrument. Its strength is transparent local history, baseline-aware monitoring and a dashboard that teachers can understand at a glance.
Start a conversation
Could CLASSPERE help your school?
Tell us about your school, classroom or pilot idea. We’ll use the details only to prepare your enquiry and discuss a suitable next step.
No obligation School-focused discussion Practical deployment guidance