Sensor Selection
Sensor selection is a systematic process in engineering and data science that involves choosing the most appropriate sensors from a set of available options to meet specific measurement or monitoring requirements. It focuses on optimizing performance metrics such as accuracy, cost, power consumption, and reliability while considering constraints like environmental conditions and application needs. This methodology is critical in fields like IoT, robotics, and industrial automation to ensure effective data acquisition.
Developers should learn sensor selection when designing systems that rely on physical data collection, such as smart devices, environmental monitoring, or autonomous vehicles, to avoid over-specification or under-performance. It is essential for optimizing resource allocation, reducing development costs, and ensuring data quality in applications where sensor choice directly impacts system functionality and efficiency.