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Automated property measurement uses scripts to locate measurement tools and targets, executes the measurement action, and interprets numerical sensor output for decision-making in laboratory and industrial scenarios.

Conditional decision making applies measurement results to determine subsequent actions, such as sorting or classification, based on the numerical readings obtained from the target object or substance.

Measuring the temperature of a solution involves using tools such as thermometers to obtain precise numerical readings, enabling automated assessments to decide whether the substance should be heated or cooled.

This measurement approach supports both laboratory and industrial scenarios by facilitating precise property measurement of objects or substances using appropriate tools for automated, quantitative decision-making.

You can measure physical properties like temperature, weight, or pH by using appropriate tools such as thermometers or scales to obtain numerical readings of a target object or substance.