Predictive AI Multi-Sensor Fusion
Use independent physical sensors (ideally across multiple modalities or from several perspectives) to avoid relying on a single sensor that may be manipulated, obstructed, or disrupted by an adversary. Relevant sensors may include visible-light cameras, infrared cameras, depth sensors, radar, lidar, microphones, or other physical sensing systems. Corroborate observations across sensors so manipulation of one input source does not overly influence the model's predictions.
Confidence
Use independent physical sensors (ideally across multiple modalities or from several perspectives) to avoid relying on a single sensor that may be manipulated, obstructed, or disrupted by an adversary. Relevant sensors may include visible-light cameras, infrared cameras, depth sensors, radar, lidar, microphones, or other physical sensing systems. Corroborate observations across sensors so manipulation of one input source does not overly influence the model's predictions.