Using Computer Vision to Ferment the Perfect Sourdough Yeast #piday #raspberrypi @Raspberry_Pi
If you have ever done any baking you’ll know there is actually a lot of science involved. Justin Lam turned back to science using a camera and Raspberry Pi to perfect the fermentation of his sour dough yeast. Via Hackster.io:
Aside from the location where it’s grown, the yeast in sourdough also depends on how it’s fermented. What it’s given to feed on, and under what conditions, can yield wildly different results. Experienced bakers may be able to understand the process, but tracking it empirically can be difficult. Thankfully, technology has an answer: computer vision. Using a camera pointed at two sourdough starters in jars, Lam was able to track how well each culture performed over time.
To do that, he started with the go-to inexpensive setup of a Raspberry Pi and camera. The camera takes time-lapse photos of the two jars of sourdough starter, which are then processed on the Raspberry Pi. The computer vision, which actually turns the pictures into workable data, was programmed with scikit-image, which is fairly new software for processing images in Python that runs well on the Raspberry Pi. With that setup, Lam could measure how much the yeast was rising as it grew, and find the optimal ingredient ratios.
Each Friday is PiDay here at Adafruit! Be sure to check out our posts, tutorials and new Raspberry Pi related products. Adafruit has the largest and best selection of Raspberry Pi accessories and all the code & tutorials to get you up and running in no time!
Adafruit publishes a wide range of writing and video content, including interviews and reporting on the maker market and the wider technology world. Our standards page is intended as a guide to best practices that Adafruit uses, as well as an outline of the ethical standards Adafruit aspires to. While Adafruit is not an independent journalistic institution, Adafruit strives to be a fair, informative, and positive voice within the community – check it out here: adafruit.com/editorialstandards
Stop breadboarding and soldering – start making immediately! Adafruit’s Circuit Playground is jam-packed with LEDs, sensors, buttons, alligator clip pads and more. Build projects with Circuit Playground in a few minutes with the drag-and-drop MakeCode programming site, learn computer science using the CS Discoveries class on code.org, jump into CircuitPython to learn Python and hardware together, TinyGO, or even use the Arduino IDE. Circuit Playground Express is the newest and best Circuit Playground board, with support for CircuitPython, MakeCode, and Arduino. It has a powerful processor, 10 NeoPixels, mini speaker, InfraRed receive and transmit, two buttons, a switch, 14 alligator clip pads, and lots of sensors: capacitive touch, IR proximity, temperature, light, motion and sound. A whole wide world of electronics and coding is waiting for you, and it fits in the palm of your hand.
Have an amazing project to share? The Electronics Show and Tell is every Wednesday at 7:30pm ET! To join, head over to YouTube and check out the show’s live chat and our Discord!
Python for Microcontrollers – Adafruit Daily — Select Python on Microcontrollers Newsletter: PyCon AU 2024 Talks, New Raspberry Pi Gear Available and More! #CircuitPython #Python #micropython @ThePSF @Raspberry_Pi
EYE on NPI – Adafruit Daily — EYE on NPI Maxim’s Himalaya uSLIC Step-Down Power Module #EyeOnNPI @maximintegrated @digikey
Each Friday is PiDay here at Adafruit! Be sure to check out our posts, tutorials and new Raspberry Pi related products. Adafruit has the largest and best selection of Raspberry Pi accessories and all the code & tutorials to get you up and running in no time!