Power tool including a machine learning block for controlling a seating of a fastener

A power tool comprising:

• a housing;
• a motor supported by the housing;
• a sensor supported by the housing and configured to generate sensor data providing information regarding an operation of the power tool;
• an electronic controller supported by the housing, the electronic controller including an electronic processor and a memory, the memory including a trained machine learning model implementing a neural network for execution by the electronic processor, the electronic controller configured to:
• receive the sensor data,
• process the sensor data using the trained machine learning model,
• generate, using the trained machine learning model, an output based on the sensor data, the output indicating a seating value associated with a fastening operation of the power tool, wherein the seating value indicates a level of seating of the fastener, and
• control the motor based on the generated output.

A method of operating a power tool to control fastener fastening, the method comprising:

• generating, by a sensor of the power tool, sensor data iteratively over the course of an operation of the power tool to produce a plurality of iterations of sensor data;
• for each iteration of sensor data of the plurality of iterations of sensor data,
• receiving, by an electronic controller of the power tool, the iteration of sensor data, the electronic controller including an electronic processor and a memory, wherein the memory includes a trained machine learning model for execution by the electronic processor;
• processing the iteration of sensor data using the trained machine learning model;
• generating, using the trained machine learning model, an output based on the iteration of sensor data, wherein the output indicates a fastening value associated with a fastening operation of the power tool, wherein the fastening value indicates a level of seating of the fastener;
• and
• modifying, by the electronic controller, operation of the power tool based on the output.

A power tool comprising:

• a housing;
• a motor supported by the housing;
• a sensor supported by the housing and configured to generate sensor data;
• an electronic controller, the electronic controller including an electronic processor and a memory, the memory including a trained machine learning model for execution by the electronic processor, the electronic controller configured to:
• receive the sensor data,
• process the sensor data using the trained machine learning model,
• generate, using the trained machine learning model, an output based on the sensor data and a confidence level associated with the output, the output indicative of a seating level of a fastener, and
• control a speed of the motor based on the generated output and the confidence level associated with the generated output.