🥩 MeatScan AI — Analysis Report
Meat Freshness Intelligence System · Official Report
System: ESP32 + MeatScan AI v2.0
01 — Sensor Input Data
Hardware Sensor Readings
Normal: 50–200 ppm (fresh) · 200–400 ppm (declining) · 400+ ppm (spoiled)
Fresh: 5.4–6.0 · Borderline: 6.0–6.8 · Spoiled: above 6.8
Safe refrigeration: 2–5°C · Danger zone begins above 8°C
0% Dry50% Optimal100% Saturated
User Observations
🌿 Fresh / Neutral
😐 Slightly Off
😕 Sour
⚗️ Ammonia
🤢 Putrid
💀 Rotten
🔴 Bright Red
🩷 Pink
🟤 Brown
⬜ Grey
🟢 Green Spots
🍄 Visible Mold
📷
Click or drag & drop
JPG, PNG, WEBP · Max 5 MB
02 — Analysis Report
SCAN ID
DATE & TIME CHECKED
MEAT TYPE
Sensor Score Breakdown
Model Confidence
🔧 Hardware
📋 Conditions
💡 Recommendations
📓 Colab Notebook
🕑 History
Sensor Calibration & Hardware Status
| Sensor | Model / IC | Range | Accuracy | Last Calibrated | Status |
|---|
Microcontroller: ESP32-WROOM-32 | Firmware: v3.2.1 | Sampling interval: 25 seconds | Protocol: WiFi 802.11n / BLE 4.2 | ADC resolution: 12-bit, 3.3V reference
Sample Conditions Summary
Recommendations & Action Plan
Google Colab Notebook — Complete Pipeline
Trial History Log
No previous trials yet.
In the print dialog, select "Save as PDF" to export a professional report.