Multi-Sensor Fusion Classifier
Overview
Model ini menggabungkan data sensor visual, audio, dan tactile untuk menentukan status lingkungan.
Input Features
- vision_confidence_score
- audio_signal_strength
- tactile_pressure_level
- proximity_distance_cm
- imu_variance
Output
- environment_state (safe / warning / critical)
Model Type
Multiclass Classification
Architecture
- Feature Scaling
- Dense(256) + ReLU
- Dropout(0.3)
- Dense(128) + ReLU
- Dense(3) + Softmax
Loss
Categorical Crossentropy
Optimizer
Adam
Metrics
Accuracy F1 Score
Application
Environmental awareness module