Processing the positioning information of visual objects detected by Pixy camera and received on Raspberry Pi via I2C, and using common design patterns in a C# program parsing robotics sensor data
Cool project with really thorough code documentation by Victor Dashevsky spotted over at codeproject:
Many of us when we first dive into robotics at some point have to pick our very first sensor to play with. Although I have not started with Pixy, for moderately experienced programmers, Pixy makes a reasonable first choice. It is crunching lots of visual info to deliver object positioning data to you in a compact format 50 times per second. Being able to track a visual object in your program with an investment of only $69 is pretty cool!
I completed this project over a year ago on Raspberry PI 2 and Visual Studio 2015 but these days you can use RPI 3 Model B+ and VS 2017. At the time of this writing, Pixy CMUcam5 that I used remains the latest version of the device.
For robotics enthusiasts new to Windows 10 IoT Core and C#, I’d like to add that the freely available development framework provided by Microsoft enables mastering the same technology as what numerous professional programmers use to build enterprise software and commercial web sites. Using VS.NET and applying Object Oriented Programming principles, you can build a large well organized system positioned for growth. Standard design patterns, NuGet packages, code libraries and ready-to-use solutions are available to us allowing to extend an experimental app way beyond its original scope. If you consider separation of concerns, segregation of logic within layers and loose coupling between them early in your design, you will be enjoying your growing project for years to come. This remains true whether building robotics apps professionally or as a hobby.
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!
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 7pm ET! To join, head over to YouTube and check out the show’s live chat – we’ll post the link there.
Join us every Wednesday night at 8pm ET for Ask an Engineer!
Maker Business — How (some) chips get made
Wearables — Sample code is your new best friend
Electronics — Solder braid quick fix
Python for Microcontrollers — Python on Microcontrollers Newsletter: Mu 1.2.0 Released, WSL Out of Beta and so much more! #CircuitPython @micropython @ThePSF @Raspberry_Pi
Adafruit IoT Monthly — Jellyfish Lanterns, Matter 1.0, and more!
Microsoft MakeCode — MakeCode Thank You!
EYE on NPI — Maxim’s Himalaya uSLIC Step-Down Power Module #EyeOnNPI @maximintegrated @digikey
New Products – Adafruit Industries – Makers, hackers, artists, designers and engineers! — JP’s Product Pick of the Week 11/22/22 EyeSPI Breakout @adafruit @johnedgarpark #adafruit #newproductpick
No comments yet.
Sorry, the comment form is closed at this time.