Setting tool parameter based on fastener characteristic
Systems and methods for determining tool parameters based on characteristics of a driven fastener. Power tools described herein include a motor and an impact mechanism coupled to the motor. The impact mechanism includes a hammer driven by the motor and an anvil configured to receive an impact from the hammer and drive a fastener. The power tool includes a controller connected to the motor. The controller is configured to receive a visual indication of the fastener and identify a type of the fastener based on the visual indication. The controller is configured to determine a K-Factor of the fastener based on the type of the fastener, set an operating parameter for driving the motor based on the K-Factor, and drive the motor according to the operating parameter.
1. A power tool comprising:
a motor;
an impact mechanism coupled to the motor, the impact mechanism including:
a hammer driven by the motor; and
an anvil configured to receive an impact from the hammer and drive a fastener; and
a controller connected to the motor, the controller configured to:
receive a visual indication of the fastener,
identify a type of the fastener based on the visual indication,
determine a K-Factor of the fastener based on the type of the fastener,
set an operating parameter for driving the motor based on the K-Factor, and
drive the motor according to the operating parameter.
2. The power tool of claim 1 , wherein the visual indication of the fastener includes an image of the fastener.
3. The power tool of claim 1 , wherein the visual indication of the fastener includes an image of a packaging for the fastener.
4. The power tool of claim 1 , wherein the type of the fastener is determined based on at least one of a size of the fastener, a thread pitch of the fastener, a type of thread of the fastener, a length of the fastener, a material of the fastener, a coating applied to the fastener, a cleanliness of the fastener, a type of lubricant applied to the fastener, a reflectivity of the fastener, or a temperature of the fastener.
5. The power tool of claim 1 , wherein, to identify the type of the fastener, the controller is configured to apply a machine-learning model to the visual indication of the fastener.
6. The power tool of claim 5 , wherein, to identify the type of the fastener, the controller is configured to transmit the visual indication to a server, and the server is configured to store the machine-learning model.
7. The power tool of claim 1 , wherein the operating parameter is an output torque of the motor.
8. The power tool of claim 1 , wherein the power tool includes a camera configured to capture the visual indication of the fastener.
9. The power tool of claim 1 , wherein the power tool includes a transceiver configured to communicate with an external device, and wherein the controller is configured to receive the visual indication of the fastener from the external device.
10. A method for controlling a power tool motor, the method comprising:
receiving a visual indication of a fastener, wherein the fastener is driven by the power tool motor;
identifying a type of the fastener based on the visual indication;
determining a K-Factor of the fastener based on the type of the fastener;
setting an operating parameter for driving the power tool motor based on the K-Factor; and
driving the power tool motor according to the operating parameter.
11. The method of claim 10 , wherein the visual indication of the fastener includes an image of the fastener.
12. The method of claim 10 , wherein the visual indication of the fastener includes an image of a packaging for the fastener.
13. The method of claim 10 , wherein the type of the fastener is determined based on at least one of a size of the fastener, a thread pitch of the fastener, a type of thread of the fastener, a length of the fastener, a material of the fastener, a coating applied to the fastener, a cleanliness of the fastener, a type of lubricant applied to the fastener, a reflectivity of the fastener, or temperature of the fastener.
14. The method of claim 10 , wherein identifying the type of the fastener includes implementing a machine-learning model on the visual indication of the fastener.
15. The method of claim 14 , wherein identifying the type of the fastener includes transmitting the visual indication to a server, and the server stores the machine-learning model.
16. The method of claim 10 , wherein the operating parameter is an output torque of the power tool motor.
17. The method of claim 10 , wherein receiving the visual indication of the fastener includes receiving an image of the fastener from a camera embedded within a housing of the power tool.
18. A power tool comprising:
a motor; and
a controller connected to the motor, the controller configured to:
receive a visual indication of a fastener,
identify, using a machine-learning model, a characterization of the fastener based on the visual indication,
determine a K-Factor of the fastener based on the characterization of the fastener,
set an operating parameter for driving the motor based on the K-Factor of the fastener, and
drive the motor according to the operating parameter.
19. The power tool of claim 18 , wherein the power tool includes a camera configured to capture the visual indication of the fastener.
20. The power tool of claim 18 , wherein the power tool includes a transceiver configured to communicate with an external device, and wherein the controller is configured to receive the visual indication of the fastener from the external device.