Wind turbine blade manufacturing using intelligent imaging

A method of manufacturing a wind turbine blade part, such as a blade half or a segment for a blade half, such as a composite fibre wind turbine blade part, the method comprising:

• capturing images of an area of manufacturing the wind turbine blade part, such as capturing images covering an entire area of the wind turbine blade part,
• analyzing the captured images at least with respect to texture and/or contrast, such as analysing texture and/or contrast in a plurality of segments of the captured images,
• detecting an anomaly on a part of the wind turbine blade part during the manufacturing process according to the analysis of the texture of the captured images,
• classifying the anomaly as one of a plurality of predetermined types of anomalies according to the analysis of the texture and/or contrast of the captured images,
• determining a localization of a classified anomaly on the wind turbine blade part, at least with respect to a first axis, such as with respect to two axes, and
• communicating an anomaly and a localization on the wind turbine blade part of a detected anomaly in real-time to an operator of the manufacturing process.

A computer program product comprising a computer readable medium containing instructions which, when executed by one or more processors independently or collectively, performs an operation of manufacturing a wind turbine blade part, the operation comprising:

• capturing images of an area of manufacturing the wind turbine blade part;
• analyzing the captured images at least with respect to texture and/or contrast;
• detecting an anomaly on a part of the wind turbine blade part during the manufacturing process according to the analysis of the texture of the captured images;
• classifying the anomaly as one of a plurality of predetermined types of anomalies according to the analysis of the texture and/or contrast of the captured images;
• determining a localization of a classified anomaly on the wind turbine blade part, at least with respect to a first axis, such as with respect to two axes;
• and
• communicating an anomaly and a localization on the wind turbine blade part of a detected anomaly in real-time to a manufacturing process interface.