What are some examples of sensor redundancy in systems?
Sensor redundancy refers to the use of multiple sensors to ensure reliability and accuracy. For example, in an autonomous vehicle, both LiDAR and cameras may be used to detect obstacles.
Can you give me another example?
Sure! In industrial automation, temperature sensors might be duplicated to monitor critical processes, ensuring that if one fails, the other can still provide accurate readings.
What are the benefits of using sensor redundancy?
The main benefits include increased reliability, improved accuracy, and enhanced safety. Redundant sensors can help prevent system failures.
Are there any downsides to sensor redundancy?
Yes, potential downsides include increased costs, complexity in data processing, and the need for more maintenance.
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