Higher Sensor Accuracy vs Lower Processing Latency
Define and document adaptive sensor processing thresholds as part of the risk management system required for high-risk AI systems.
CyberTRIZ analysis · AIRobotics contradiction AS012 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Business Context
Autonomous platforms depend on high-resolution perception systems to interpret their surroundings. Processing increasingly detailed sensor data may introduce delays that reduce operational responsiveness.
AI & Robotics TRIZ Resolution
Use adaptive sensor processing that dynamically adjusts resolution, sampling frequency, and processing depth according to operational priorities.
Applicable TRIZ Principles
Principle 3 – Local Quality applies maximum resolution only where it provides operational value.
Principle 19 – Periodic Action varies processing intensity according to changing conditions.
Principle 35 – Parameter Changes dynamically adjusts sensing parameters to balance speed and accuracy.
Expected Outcome
Improved perception quality
Faster processing
Better operational responsiveness
Efficient resource utilization
Decision Indicators
Early indicators include:
Sensor queues increase.
CPU and GPU utilization remain high.
Navigation delays become noticeable.
Critical events are processed too late.
Monitoring these indicators improves real-time perception.