Automated Timelapse: Update

Its been a year since my time-lapse post, and since my server has been working away without external input capturing and archiving the view from from my window the entire time.

Something I wanted to capture is a time-lapse of of summer and winter from the same perspective, in order to see the difference between the two polar seasons in terms of sunlight.

Now with a year’s worth of capture and as a tribute to the reliability of the code, I thought to quickly splice together a June and December time lapse video:

 

 

Its interesting to see how the webcam when left at the default settings interprets light values over a sustained period of time. As even in the summer it will get as dark as the winter night at some point, I thought of this as a natural reset point for the cam’s light values.

Choosing a similar weather conditions at both ends of the daylight spectrum (23/06 and 19/12) the camera seemingly registers a different light strength.

Anyways it is still an interesting watch regardless of the date its being viewed at, hope you enjoy, and wishing you a happy new year!

 

Update: Raspberry Pi Temperature Display

With the cooler outdoor temperatures, a bug in my original code for the temperature display has cropped up:

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The DS18B20 returns temperatures with up to three decimal places, with the decimal point omitted, therefore a temperature of 10oC would be shown as 10000 by the sensor. To deal with this and for the display to show the temp to one decimal, I used this code:

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Automated Time-lapse Solution

A while ago I worked on a simple CCTV system for work, which involved using software to capture images every second then batch convert them to video every five minutes. It was crude but did the job.

I also dabbled in the past with time lapse videos, however this was a more manual process with images capturing to a folder, then personally loading them into Windows Movie Maker to create the video. With the tedium of creating the videos, the software I used for capturing (YAWCam) would hang after a few weeks constant running, not to mention without upkeep, the hundreds of thousands of image files populating the hard drive.

As a project it was time to combine the learnings from these and create an automated time lapse video creator, a program that would capture images, then create a 5-minute video that contains the days’ footage, and finish by deleting the temporary images to leave just the days video.

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