Stonyman Vision Chip Breakouts
SKU : BRK-SM1-**Price by Type of Optics:
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Note: We have decided to discontinue this product. We still have a few left in stock, which we are holding for past customers that may need one to complete an ongoing project. Please contact us for information or if you have any comments.
We are leaving both this page and the ardueye.com site up for informational purposes.
In Brief:
The Stonyman Vision Chip features a 112×112 pixel array, on-chip binning to form larger superpixels, and a simple interface with 5 digital inputs and one analog output. This breakout board will allow you to interface directly with the ArduEye Rocket Shield, or to a microcontroller of your choice.
Availability:
All three versions (no optics, standard “cell phone camera” lens, pinhole lens) are available through our on-line store (above). The version with a standard “cell phone camera” lens is available through RobotShop. We particularly recommend RobotShop for international orders or if expedited shipping is required.
LINK TO ROBOTSHOP (US)
LINK TO ROBOTSHOP (CANADA)
LINK TO ROBOTSHOP (EUROPE)
Features:
- Square 112×112 image array
- Simple 5 digital input + 1 analog output interface
- Asynchronous operation – you control the timing
- Flexible image acquisition – grab a window, a row, or a single pixel
- On-chip binning to form superpixels
- Continuous time logarithmic pixels handle a large range of light itensities
- Choice of 4mm lens, wide-angle flat optics, or mount your own!
- Compatible with the ArduEye Rocket Shield, or any 3-5V microcontroller
- Instructions, example ArduEye Code, and GUI at www.ardueye.com
Detailed Description:
The Stonyman Vision Chip was designed with embedded vision applications in mind. While most commercially availably image sensors are fighting to pack in the greatest number of pixels, embedded vision applications tend to require more flexible acquisition, random pixel access, and ease of use.
The Stonyman Vision Chip offers these three key benefits:
- The interface is asynchronous and easy to use, even with a simple 8-bit microcontroller. You control the timing, not the image sensor.
- The pixel circuits are shutterless and are always adapting to light levels and generating an output. You then just sample the pixels at whatever rate is convenient for you. You do not have to reset pixels and wait for them to integrate.
- Our image sensors are flexible- you can choose to grab the entire pixel array or just a window of pixels, and you can do either of these while downsampling, even by different amounts in the X and Y directions.
If you have the power to take the entire 112×112 array and do image processing at a reasonable frame rate, then go ahead. But if you have a more modest Arduino, downsample the array by 8 in the X and Y direction and capture a 14×14 image with much of the same information. Or take a single row of pixels at over a hundred Hertz for a laser range finder application. The flexibility of the Stonyman Vision Chip enables you to balance processing power, frame rate, and number of pixels to optimize your application.
Which Optics Should I Use?
No Optics:
If you are an advanced user and are willing to mount your own optics, then choose this option. If you are interested in mounting your own flat printed optics, there is a tutorial for this on the ArduEye wiki.
Lens with 4mm focal length:
This option will give you access to the entire 112×112 pixel array, and the field of view is approximately 36 degrees. You can focus the lens by turning it in the lens mount. This is the sharpest image and best for a first breakout and general applications.
Wide-Angle Flat Printed Optics:
The Flat Printed Optics create a small circular area of active pixels (under the pinhole) of approximately 20-30 pixels in diameter. The rest of the Stonyman array will be covered and have no image. The benefit of this is the extremely wide field of view, around 160-170 degrees. The image is not as high quality as the lens, and is suitable for applications where you do not have large amounts of processing power but want to process a large field of view.
Downloads:
- Go to our ArduEye wiki at ardueye.com for instructions, examples, GUI code, and more!