ca-mera

Cellular Automaton Camera

Free · Designed for iPad

Use cellular automata to create unique and intriguing images that will make your friends and followers envious. Download now, it's totally free and respects your privacy! Probably the nerdiest camera app ever made, ca-mera uses a cellular automaton to interpret the brightness values of your camera stream. The resulting images are black/white and pixelated, and contain unique patterns created by the cellular automaton (Wolfram rule 126). This app provides a "selfie" mode, and lets you change the appearance of the pictures by controlling the automaton application direction, the resolution, the input brightness, and the input fidelity (i.e. to which extent the cellular automaton is allowed to run freely). Furthermore, features from the more advanced ca-mera+ app can be unlocked inside ca-mera by tapping the "+" button and watching our handcrafted ads.

  • 4.0
    out of 5
    1 Ratings

Supports all current iPhones and iPads Works now also with iOS 14 and higher Unlock features from ca-mera+

The developer, Fritz Menzer, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy .

  • Data Not Collected

    The developer does not collect any data from this app.

    Privacy practices may vary based, for example, on the features you use or your age. Learn More

    The developer has not yet indicated which accessibility features this app supports. Learn More

    • Provider
      • Fritz Menzer
    • Size
      • 2.5 MB
    • Category
      • Photo & Video
    • Compatibility
      Requires iOS 11.0 or later.
      • iPhone
        Requires iOS 11.0 or later.
      • iPad
        Requires iPadOS 11.0 or later.
      • iPod touch
        Requires iOS 11.0 or later.
      • Mac
        Requires macOS 11.0 or later and a Mac with Apple M1 chip or later.
      • Apple Vision
        Requires visionOS 1.0 or later.
    • Age Rating
      4+
    • Copyright
      • © 2017-2022 MN Signal Processing