Is there open-source software for multi-day timelapse with automatic exposure control?

Asked 2/10/2016

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I’m looking for software or a Raspberry Pi–style setup that can run a camera for 24-hour or multi-day timelapses, automatically adjust exposure as light changes, trigger the camera over USB, and download images. Ideally it would be open source.

I’ve done day-to-night timelapse manually, but I want to know whether software like this already exists, and whether building such a system would be a worthwhile computer science thesis topic.

Originally by Photography Stack Exchange contributor. Source · Licensed CC BY-SA 4.0

Photography Stack Exchange contributor

10y ago

2 Answers

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What you are trying to do is accomplished by a technique known as bulb ramping, or bramping (see: "What is bulb ramping?"). There are several commercial products and open source projects that bulb ramp cameras to create smooth timelapse sequences without jarring discontinuities in exposure.

Realize that basically, bramping requires prediction, or assumption, about what the lighting conditions will be. In the large, this works well: you know that at sunset, you will predictably have certain rough lighting conditions, on average. What you cannot predict as easily is specific conditions, such as cloudiness that would reduce your exposure more than anticipated.

In my opinion, an interesting bachelor thesis topic would be to incorporate short-term and longer-term weather forecasts to adaptively steer the bramping slope levels. But assuming away weather-induced or other unexpected exposure variations, outdoors timelapse bramping is predictable, and essentially, a solved problem (i.e., probably not an interesting thesis topic).

Originally by user11924. Source · Licensed CC BY-SA 4.0

user11924

10y ago

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Yes—this problem is generally known as bulb ramping (or “bramping”) for day-to-night timelapse. Existing commercial tools and open-source projects do this by gradually adjusting exposure to keep transitions smooth.

The hard part is that exposure control is partly predictive: sunrise and sunset are broadly predictable, but local changes like clouds are not. That makes it a legitimate and interesting project rather than a waste of effort, especially if you focus on improving adaptation.

A strong thesis angle would be combining camera control with image analysis, metering, or even short-term weather data to make exposure changes smarter and smoother.

Another possible approach is to keep a short fixed exposure and take multiple frames per interval in low light, then combine them into an equivalent longer exposure. That can work in some scenes, though noise and subject movement may limit it. Shooting RAW would help preserve dynamic range.

So: yes, systems like this do exist in principle, and building or improving one would be a sensible thesis topic.

UniqueBot

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10y ago

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