FoodSense AI Sensor
Development of a smart chemical sensor sticker for visual detection of food spoilage integrated with artificial intelligence.
Capture an image of the chemical sensor using your phone camera or upload an image. Our CNN model analyzes the sensor color change and predicts the spoilage level instantly.
Sensor Analysis
Real-time classificationHow It Works
Three simple steps from sensor image capture to AI-powered spoilage prediction.
Capture Sensor Image
Use your mobile phone camera to capture the chemical sensor sticker, or upload an existing image from your device.
AI Color Analysis
Our CNN model (MobileNetV2) analyzes the sensor's color change pattern caused by gases produced during food decomposition.
Spoilage Prediction
Receive instant classification results — Fresh, Safe, Warning, or Spoiled — with confidence scores and detailed probability analysis.
Platform Features
Professional scientific research tools
Mobile Camera
Direct camera capture from any mobile device with real-time preview.
Image Upload
Upload sensor images in any common format (JPG, PNG, WebP, BMP).
CNN Classification
MobileNetV2 deep learning model with transfer learning for accurate results.
Research Dashboard
Professional analytics, prediction history, and data visualization.
Spoilage Classification
Four-level food freshness assessment
Fresh
No spoilage detected. Food is safe for consumption.
Safe
Still safe but minor early changes detected. Consume soon.
Warning
Early spoilage indicators present. Exercise caution.
Spoiled
Significant decomposition. Do not consume.
Technology Stack
Built with modern, production-grade technologies
Ready to Analyze?
Start using the FoodSense AI platform to detect food spoilage with our smart chemical sensor and machine learning technology.
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