The Pixy2 CMUcam5 is smaller, faster and more capable than the original Pixy. Like its predecessor, the Pixy2 can learn to detect objects that you teach it, just by pressing a button. Additionally, the Pixy2 has new algorithms that detect and track lines for use with line-following robots. With these new algorithms, you can detect intersections and “road signs” as well. The road signs can tell your robot what to do, such as turn left, turn right, slow down, etc. The best part is that the Pixy2 does all of this at 60 frames-per-second, so your robot can be fast, too!
No need to futz around with tiny wires — the Pixy2 comes with a special cable to plug directly into an Arduino and a USB cable to plug into a Raspberry Pi, so you can get started quickly. No Arduino or Raspberry Pi? No problem! The Pixy2 has several interfaces including SPI, I2C, UART, and USB with simple communications, so you get your chosen controller talking to the Pixy2 in short order.
The Pixy2 uses a color-based filtering algorithm to detect objects. Color-based filtering methods are popular because they are fast, efficient, and relatively robust. Pixy2 calculates hue and saturation of each RGB pixel from the image sensor and uses these as the primary filtering parameters. The hue of an object remains largely unchanged with changes in lighting and exposure. Changes in lighting and exposure can have a frustrating effect on color filtering algorithms, causing them to break. Pixy2’s filtering algorithm is robust when it comes to lighting and exposure changes.
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I'm building a color sorter with the Pixy2, and it's a great way to get a vision system up and running quickly. Additional code, lighting, and filters are necessary to be able to view black or brown objects. I couldn't get the desktop software running on my 2013 Mac, but it was a breeze with an updated OS.
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Anyone know what 'J5' is about on the back of the board? I'm hoping to be able to remove the camera module and tether one off board.
Whilst the original Pixy was great at object detection, getting the coordinates out was a nightmare though!!! We tried using it to detect 2 retro-flective markers, and whilst the detection of the markers worked fantastically, the I2C interface protocol to retrieve the data was so convoluted we eventually gave up since we couldn't do it reliably.
The biggest issue seemed to be that the data retrieved from I2C was basically a stream with supposed synchronization markers. You would expect this to be a great system, but the implementation simply didn't work reliably when trying to handle more than one object in a single video frame. It was also almost as though the coordinates were cleared out at the start of each video frame, so often you would read block data and it would return a zero coordinates and/or just flat out get out of sync.
I would really have liked a "capture" command, "status" command and a "retrieve coordinates" command.
I will look through the interface documentation. Hopefully they have moved away from the stream format and/or made sure that once you start to retrieve a frame set nothing else is updated until you finished.
That's one huge list of countries this can't ship to. Is there a reason for this?
So in general, this is almost meant for use in the autonomous vehicle competition? :)
I was a kickstarter backer of the original Pixy, and they had said face detection was 'coming soon'. As far as I know, it never happened. Will the pixy2 support face tracking?