Safexplain DIVRED: Software-only image transformation-based AI diverse redundancy

SafeExplain-DIVRED improves the reliability of AI vision systems by testing multiple equivalent slight variations of the same input image and combining results. Smart combination approaches allow filtering out problematic results due to model limitations, random errors, or even adversarial attacks. This approach adds a safety layer without modifying the original model, supporting trustworthy AI. It can be applied to any object detection model and can be ported to virtually any platform.

Autonomous-vehicle perception & planning, surgical-robot vision, industrial defect inspection, UAV sense-and-avoid, legal/medical LLM assistants, critical infrastructure anomaly detection.

Automative Tier-1s & robot OEMs deploying vision/NLP models; Medical-device manufacturers under IEC 62304 & MDR; Aerospace UAV and satellite autonomy stacks; Cloud & edge providers offering "regulated AI" services