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Sensor Forum How to detect vehicle sound at 100 m distance using microphone and Arduino?
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How to detect vehicle sound at 100 m distance using microphone and Arduino?

abhishekks
abhishekks 5 days ago

Hello everyone,

I am working on a project where I need to detect the sound of vehicles (cars, heavy trucks) from a distance of around 100 m. The microphone will be placed in an open area on land, and the goal is to identify when a vehicle is approaching.

Currently, I am evaluating microphones like AOM-5024L-HD-R and CMA-4544PF-W, connected to a MAX9814 preamplifier module, with the output fed into an Arduino Uno ADC.

My questions are:

  1. What type of microphone is most suitable for long-distance vehicle detection (100 m)?
  2. How can I calculate whether the microphone output voltage will be sufficient for reliable detection at that distance?
  3. Should I use additional filters (e.g., low-pass or band-pass) to separate vehicle sound from background noise (wind, people, etc.)?
  4. Would I need a higher-gain preamplifier or a different approach (like a geophone or array microphone) for better detection?

Any advice, references, or design suggestions will be very helpful.

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  • beacon_dave
    beacon_dave 4 days ago in reply to abhishekks +2
    If it is a narrow capture angle you could perhaps try a large diameter parabolic reflector with the mic placed at the focal point. It's surprising what you can hear with your ear at the focal point of…
  • michaelkellett
    michaelkellett 4 days ago +1
    This can help you: https://calculator.academy/road-noise-calculator/ Then use the sound level to work out how much output from your microphone. You will have huge problems with wind noise and other…
  • beacon_dave
    beacon_dave 4 days ago in reply to beacon_dave +1
    Depending on the application, a camera with motion tracking algorithm might also be worth considering as an alternative.
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  • heinej
    0 heinej 22 hours ago

    Is it a real-time application?

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  • abhishekks
    0 abhishekks 22 hours ago in reply to heinej

    yes

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  • abhishekks
    0 abhishekks 22 hours ago in reply to abhishekks

    first phase of the project is to get some voltage level when any vehicle moving towards mic.

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  • heinej
    0 heinej 22 hours ago in reply to abhishekks

    Any vehicle? So the former "clap switch" for cars?

    Some time ago, I had to computationally compensate a continuous strain gauge load cell in the ton range
    against interference from approaching/passing trucks and forklifts. One should certainly consider a geophone or array microphone or MEMS microphone with digital signal processing
    in one (at least two microphones (differential sound)).
    In my case, it was a supplementary accelerometer (deep earth vibrations, Sub 5Hz) on the subframe
    that enabled precise detection of interfering trucks.
    Although the questions above exclusively concern signal conditioning, I would first use standard measurement equipment to understand the physics and acoustic facts, and then consider amplifying, targeted filtering.

    I would have thought that vehicle-specific characteristic audio patterns would be discussed here first, Short-Time Discrete Fourier Transform (STDFT), and FFT, and object approaching speed determination using the Doppler effect?

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  • heinej
    0 heinej 22 hours ago in reply to abhishekks

    Any vehicle? So the former "clap switch" for cars?

    Some time ago, I had to computationally compensate a continuous strain gauge load cell in the ton range
    against interference from approaching/passing trucks and forklifts. One should certainly consider a geophone or array microphone or MEMS microphone with digital signal processing
    in one (at least two microphones (differential sound)).
    In my case, it was a supplementary accelerometer (deep earth vibrations, Sub 5Hz) on the subframe
    that enabled precise detection of interfering trucks.
    Although the questions above exclusively concern signal conditioning, I would first use standard measurement equipment to understand the physics and acoustic facts, and then consider amplifying, targeted filtering.

    I would have thought that vehicle-specific characteristic audio patterns would be discussed here first, Short-Time Discrete Fourier Transform (STDFT), and FFT, and object approaching speed determination using the Doppler effect?

    • Cancel
    • Vote Up 0 Vote Down
    • Sign in to reply
    • Verify Answer
    • Cancel
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