Adapting touch sensor to mechanical control system

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SUMMARY

The discussion focuses on adapting the MPR121 capacitive sensor, specifically the SparkFun breakout board, for detecting a toolhead's distance above a work surface in a noisy electrical environment. Initial tests with breadboard and tinfoil electrodes indicate potential viability, but challenges arise due to the sensor's design assumptions, which are tailored for human interaction rather than metal objects. Participants suggest that the combination of low capacitance and electrical noise may hinder capacitive sensing, recommending optical sensing as a more reliable alternative.

PREREQUISITES
  • Understanding of MPR121 capacitive sensor functionality
  • Familiarity with PCB prototyping techniques
  • Knowledge of electrical noise management in sensor applications
  • Basic principles of optical sensing technology
NEXT STEPS
  • Research MPR121 design guidelines and best practices for electrode design
  • Explore PCB prototyping methods for capacitive sensors
  • Investigate techniques for reducing electrical noise in sensor applications
  • Learn about optical sensing technologies and their applications in industrial environments
USEFUL FOR

Engineers, product designers, and developers working on sensor integration in mechanical systems, particularly those dealing with capacitive and optical sensing technologies in noisy environments.

lkoren
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Hi. I've just started working with the MPR121 capacitive sensor (at the moment I'm working with the MPR121 breakout board sold by sparkfun) for an application that involves detecting a toolhead's distance above a work surface. It's not a problem to ground part of the tool head and some initial tests I've done with breadboard and tinfoil electrodes suggest this might be workable. Based on this we're ready to start doing some PCB prototyping.

Freescale has published a lot of material about this chip, including a design guideline discussing best practices for electrode design. However, all this material seems to be based on the assumption that what you are sensing is a person, specifically a finger attached to a person. We are trying to sense a chunk of metal attached to a machine, in a somewhat noisy electrical environment (steppers going on/off, uController doing all sorts of stuff, a few amps flowing through various parts of the tool head).

I was just curious if there are any tips or resources out there for deploying capacitive sensing in this sort of context.

L
 
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I think the combination of very low capacitance, plus a noisy environment would make this approach troublesome.

Optical sensing would be my guess for the best approach. That eliminated the electrical noise.
 

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