Selective Incident Headlight Intensity Measurement

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SUMMARY

This discussion focuses on measuring the incident intensity of headlights from oncoming vehicles for a university project in the Instrument and Measurement unit. Participants suggest various methods, including using a light-dependent resistor (LDR) in a voltage divider, employing a pinhole or lens system to restrict light, and utilizing a camera with software for image processing. Key considerations include the need for filters to align detector sensitivity with human eye response and the potential hazards of modern headlight intensities, particularly from HID and LED sources.

PREREQUISITES
  • Understanding of light-dependent resistors (LDR) and voltage dividers
  • Familiarity with optical principles, including lenses and apertures
  • Basic knowledge of image processing techniques
  • Awareness of photopic response and spectral content of light
NEXT STEPS
  • Research the calibration of LDRs for accurate Lux measurements
  • Explore optical design principles for using lenses in light measurement
  • Learn about image processing software for analyzing light intensity
  • Investigate the effects of different wavelengths on human vision and safety
USEFUL FOR

This discussion is beneficial for engineering students, optical measurement researchers, and automotive safety advocates interested in headlight intensity measurement and its implications for road safety.

Rian199
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Hey guys,
I am trying to come up with an idea to measure incident intensity of headlights from an oncoming car for one of my uni projects. This wasn't specifically assigned project topic, we get to choose what we want to do. It's my Instrument and Measurement unit, and I had this idea thought it would have an interesting application considering how many times I have driven on the freeway and just got completely blinded by an oncoming (or following) car. We've learned of different methods of measurement like an LDR (Photoresistor) in a voltage divider and calibrating a micro controller to give you readings in Lux. But I was wondering how one could roughly go about measuring a specific car's headlight by pointing the device at it and filtering out some of the other light 'noise' so to speak? I'm thinking something akin to a pinhole camera, sort-off? Any Suggestions?
Thanks in advance!
 
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there are so many ways to do it.
Yes, one way is to use a pinhole or just a hole to limit the incoming light from one direction only. The drawback is that you will get very little light on your detector this way.
Another way is use a lens and place the detector at the focal point. You will be collecting all the light hitting the lens aperture (read something about photography, aperture setting, etc.)
Another way is to use a camera and some software to process the image and pick the maximum intensity of the light.
One note of caution. The sensitivity of a typical detector or a camera depends on the wavelength of light in a manner that is different from the human eye response and you would need to use a filter to bring the detector response close to the photopic curve.
 
Mount the sensor at one end of a tube to restrict its field of view. Depending on the sensor size you can use anything from a cardboard core from a roll of toilet paper to a straw or a piece of plastic pipe. Change the length to change the field of view.
 
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You would do the world a favor if you'd measure spectral content.

HID and short wave LED make wavelengths known harmful to the eye yet automakers and aftermarket suppliers continue to pump out "El Blasto" equipment as advertisers brag about their ability to illuminate the countryside along both sides of the road."Xenon Headlamps - the weak man's imitation of strength". It's on account of them I wear sunglasses when driving at night. I've complained to my congressman, to Ford Motor company, and to National Highway Traffic Safety Administration about the spectral content and preposterous intensity of modern headlamps.

Anyhow, back on topic - a non reflective tube with receiver at one end should work for you.
 

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