Faster frame rates on GigE with Compression Beyond
How does Compression Beyond work?
The image data is compressed directly in the camera using a powerful FPGA.
The basic principle of lossless compression of image data is based on the use of redundancies. Similar to the previously widely used Morse code, the compression of image data is also based on so-called coding. This means that codes are assigned to individual messages or data blocks. More frequently occurring bit patterns are assigned shorter codes, while less frequently occurring bit patterns are assigned longer codes. On average, the amount of data can be optimized by this redundancy reduction.
It follows that images that contain a lot of redundancy are more compressible, and how powerful the compression is in concrete terms always depends on the image content in question.
Image comparison
Pixel Beyond – pixel size as needed
Do you want to reduce the resolution but maintain the field of view? Are you limited by common binning factors? Do you want a higher frame rate or to replace a discontinued sensor as easily as possible?
Customize your sensor to your needs – with Pixel Beyond.
If you combine the values of neighboring pixels of a sensor, this is called binning. There can be different reasons for binning: some users want to increase the brightness in their images, others want to reduce the amount of data. Some need higher frame rates, others are looking for a straightforward replacement for their discontinued sensor.
Binning can help with all of these objectives. Binning can be used to reduce the resolution while maintaining the field of view, and to improve certain sensor values such as the signal-to-noise ratio (SNR) and dynamic range. In theory, this reduces the amount of data to be processed, often increases the frame rate, and shortens the exposure time or makes the images brighter. In practice, however, the decisive disadvantage is that conventional binning is based exclusively on integer factors.
Pixel Beyond and the More Flexible Scalability of Pixel SizesPixel Beyond from Basler offers a decisive advantage: in addition to integer factors, it also allows the use of decimal numbers. The result: significantly more flexibility! Thanks to Pixel Beyond, all conceivable resolutions between ¼ and the respective maximum sensor resolution can be realized as desired. With the help of a powerful FPGA, this preprocessing of the pixels takes place directly in the camera. A novel interpolation method developed by Basler serves as the basis for this.
The benefit for you as a customer: By customizing the resolution, you can use the available bandwidth more efficiently and significantly reduce the amount of data that has to be processed on the host side.
Pixel Beyond allows you to realistically simulate different sensors, which makes it easy to replace a discontinued sensor without having to redesign your vision system.