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Tuesday, May 14, 2024

Kevin McAleer’s Voltara Is a Pint-Sized Raspberry Pi-Powered Zoltar Fortune Teller Duplicate

YouTuber and maker Kevin McAleer’s newest venture takes its inspiration from a traditional Tom Hanks movie, and makes use of a Raspberry Pi single-board pc to energy a pint-sized reproduction of the Zoltar fortune-telling machine from Large — to be put in as an exhibit on the Open Sauce 2024 convention.

“I am calling this Voltara,” McAleer says of his miniature fortune-telling machine, delivered to our consideration by Adafruit. “It is primarily based on […] Zoltar, from the film Large with Tom Hanks, it is certainly one of his first motion pictures that he did. I keep in mind [it], a very long time in the past — I believe it was one of many first motion pictures I noticed as a teen in film theaters.”

Kevin McAleer’s newest venture is a miniature model of the Zoltar fortune-telling machine — and, as he jokes, “it isn’t Large.” (📹: Kevin McAleer)

The unique Zoltar was, magic apart, a full-scale amusement machine with the higher physique of the eponymous fortune-telling mystic housed inside a glass case. McAleer’s homage is considerably extra compact, designed for desktop use — and, regardless of how arduous you could want it, is unlikely to make you huge.

Contained in the case is a Raspberry Pi 4 single-board pc (SBC) — “I’ve obtained a complete bunch of Raspberry Pi 4s mendacity round,” McAleer explains,” and I believed this may be fairly use to run the Python code that makes all of the magic occur” — related to an arcade-style push-button and a thermal printer. When the button is pushed, a Python program makes use of the traditional UNIX utility fortune to decide on a message to be printed out for the customer.

The housing for the venture was 3D printed, and mimics the aged cupboard seen within the movie — full with a clear higher portion the place an animatronic miniature Zoltar will likely be put in, although on the time of writing McAleer had but to construct that portion of the venture.

Extra data is accessible in McAleer’s video, embedded above and on his YouTube channel.

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