Clock Tuner

By BuzzSoft

Clock Tuner

A Timegrapher

This app is to measure the BPH(Beats per hour) of mechanical watches.

It will display time error per day as nicely.

The app makes use of microphone to measure BPH.

** Recommend to plug a microphone into telephone and connect the microphone to the back of your watch.

** Basic version show wave graph and pulse interval histogram.

** Frequency display requires 'Premium' improve.

** Please take a look at the app with your watch before you purchase 'Premium' upgrade. The app will work as Premium during 30 min.

Not for digital clocks.

Not working in noisy surroundings.

Set microphone direction towards a clock.

- Review from Mr. Kojima

http://www.thewatchsite.com/index.php/topic,42142.0.html

- Preset instance

Rolex or mechanical watch: Target frequency: four or 5Hz, Sample period: 2Sec, Sensitivity: manual 50

Most pendulum clock: Target frequency: 1 or 2 Hz, Sample length: 5 or 10 Sec, Sensitivity: medium

FAQ.

1) in the settings there is a sensitivity option with a excessive, medium, low and three manual settings, can you explain how this adjustments the outcomes

It determines sound amplitude threshold for detecting clock sound. If your clock sound is loud you may scale back sensitivity. This will enable extra environmental noises.

If you enhance the sensitive, you may measure hand watches. But small noise could measurement errors.

2) why does the detected frequency change between light gray, black and purple

Red means smaller drift throughout the measurement interval whereas grey means that measurement may have an error.

3) the average frequency does not all the time calculate, it stays at NaN

The 'detected frequency' should be purple constantly.

4) how do you calculate the pulse drift %

abs(max detected frequency - min detected frequency) / detected frequency throughout 1 detection cycle.

5) what are the 2 graphs exhibiting and what knowledge are you using for the calculations

The dimension of bars in the higher graph ought to be almost the identical.

The backside reveals amplitude of sound wave recorded from micro telephone.

6) are newer versions of the app being developed

** You could present sound pattern by sending wav or mp3 file to [email protected]

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