Method and system for calibrating laser power

A system for calibrating laser power, comprising:

• a light receiving unit, being adopted for receiving a laser light that is emitted from a laser optic product;
• and
• a controlling and processing device, comprising:
• a controlling and processing unit, being electrically connected to the light receiving unit, and being configured for driving the laser optics product to successively emits the laser light by a plurality of times, so as to receive the laser light through the light receiving unit;
• a data storage unit, being coupled to the controlling and processing unit, such that the controlling and processing unit records a plurality of real intensity data and a plurality of real power data in the data storage unit;
• wherein the respective real intensity data and real power data are measured from the respective laser lights that are emitted by the laser optics product in the respective times;
• a reference trend line generating unit, being coupled to the data storage unit and the controlling and processing unit, and being configured for generating a reference trend line based on a plurality of reference intensity data and a plurality of reference power data;
• wherein the reference trend line has a coefficient of determination that is equal to 1;
• a first trend line generating unit, being coupled to the reference trend line generating unit, and being configured for applying a first linear regression process to the plurality of real intensity data and the plurality of real power data so as to produce a first linear regression graph, thereby adding the reference trend line in the first linear regression graph;
• a second trend line generating unit, being coupled to the first trend line generating unit, and being configured to select a plurality of first intensity data and a plurality of first power data from the first linear regression graph, and then to apply a second linear regression process to the plurality of first intensity data and the plurality of first power data for producing a second linear regression graph with a first trend line;
• wherein each of the selected first intensity data has a first residual value smaller than a threshold value, and the respective first residual value being determined by correspondingly comparing the respective reference intensity data with the respective reference intensity data;
• a third trend line generating unit, being coupled to the first line generating unit, and being configured to select a plurality of second intensity data and a plurality of second power data from the first linear regression graph, and subsequently apply a third linear regression process to the plurality of second intensity data and the plurality of second power data for producing a third linear regression graph;
• wherein each of the selected second intensity data has a second residual value greater than the threshold value, and the respective second residual value being determined by correspondingly comparing the respective reference intensity data with the respective reference intensity data;
• and
• a trend lines integrating unit, being coupled to the third trend line generating unit, the second trend line generating unit and the data storage unit, and being configured to produce a fourth linear regression graph using the plurality of real intensity data, the plurality of real power data, the first trend line, and the second trend line;
• wherein the fourth linear regression graph has a predict trend line that is constituted by the first trend line and the second trend line.