A memory of a sewing machine stores a plurality of notification conditions for notifying an information processing device of an extent of progress of sewing of the embroidery pattern. The notification conditions include a first notification condition for notifying that the extent of progress is a first extent and a second notification condition for notifying that the extent of progress is a second extent. The sewing machine transmits, to the information processing device, first extent information indicating the first extent, when the sewing machine determines that the first notification condition is satisfied. The sewing machine transmits, to the information processing device, the second extent information indicating the second extent, when the sewing machine determines that the second notification condition is satisfied.

A method is provided for optimizing the yarn consumption in patterned textiles by applying cell automata algorithms to bitmapped-type pattern designs including operator selected rules to influence the general appearance of the pattern design.

Disclosed is a sewing machine which evaluates sewing quality using a stitch tightness index. During sewing operation, a used length of an upper thread per stitch is detected, and a stitch tightness index per sewn stitch is calculated on the basis of a stitch length per stitch defined by sewing pattern data, a fabric thickness of a sewing workpiece, and detected data of the used length of the upper thread. Then, notification is made which corresponds to the calculated stitch tightness index per sewn stitch (such as a visual display of the stitch tightness index). After that, acceptability/non-acceptability of the thread tightness per sewn stitch can be determined by comparing the calculated stitch tightness index per sewn stitch against a reference value, and a result of the determination can be notified.

Disclosed is a sewing machine which evaluates sewing quality using a stitch tightness index. During sewing operation, a used length of an upper thread per stitch is detected, and a stitch tightness index per sewn stitch is calculated on the basis of a stitch length per stitch defined by sewing pattern data, a fabric thickness of a sewing workpiece, and detected data of the used length of the upper thread. Then, notification is made which corresponds to the calculated stitch tightness index per sewn stitch (such as a visual display of the stitch tightness index). After that, acceptability/non-acceptability of the thread tightness per sewn stitch can be determined by comparing the calculated stitch tightness index per sewn stitch against a reference value, and a result of the determination can be notified.

A method is provided for optimizing the yarn consumption in patterned textiles by applying cell automata algorithms to bitmapped-type pattern designs including operator selected rules to influence the general appearance of the pattern design.