Sewing machine and methods of using the same

A sewing machine, comprising:

• a sewing head attached to an arm suspended above a sewing bed by a pillar;
• a needle bar extending from the sewing head and toward the sewing bed, wherein the needle bar holds a needle;
• a presser bar with a presser foot extending away from the sewing head and toward the sewing bed;
• one or more optical sensors arranged to collect data from one or more features of one or more predefined regions associated with the sewing machine;
• and
• one or more processors for processing the data collected by the one or more optical sensors through one or more neural networks, wherein the one or more processors are configured to:
• receive the data from the one or more optical sensors;
• process the data through the one or more neural networks, wherein the one or more neural networks detects and recognizes the one or more features of the one or more predetermined regions from the data;
• calculate one or more accuracy indicators of the one or more features from the data as compared to a trained feature from the one or more neural networks;
• compare the value of the one or more accuracy indicators to one or more indicator thresholds;
• and
• adjust one or more parameters of the one or more optical sensors based on the comparison between the one or more accuracy indicators and the one or more indicator thresholds.

A sewing machine, comprising:

• a sewing head attached to an arm suspended above a sewing bed by a pillar;
• a needle bar extending from the sewing head and toward the sewing bed, wherein the needle bar holds a needle;
• a presser bar with a presser foot extending away from the sewing head and toward the sewing bed;
• one or more data gathering devices associated with the sewing machine and arranged to collect data from one or more features of one or more predefined regions associated with the sewing machine;
• and
• one or more processors for processing the data collected by the one or more data gathering devices through one or more neural networks, wherein the one or more processors are configured to:
• receive the data from the one or more data gathering devices;
• process the data through the one or more neural networks, wherein the one or more neural networks detects and
• recognizes the one or more features of the one or more predetermined regions from the data;
• calculate one or more accuracy indicators of the one or more features from the data as compared to a trained feature from the one or more neural networks;
• compare the value of the one or more accuracy indicators to one or more indicator thresholds;
• and
• adjust one or more parameters of the one or more data gathering devices based on the comparison between the one or more accuracy indicators and the one or more indicator thresholds.