If this project turns out to be more than just pretty renders, Auralab will have to do a major shift in their $trategy![]()
Camera scanning, but automated. Sounds perfectly feasible. Let's see how it performs; I guess we'll find out soon.If this project turns out to be more than just pretty renders, Auralab will have to do a major shift in their $trategy![]()
Camera scanning, but automated.
To be honest, going through the specs (any format, double speed for lower resolution scans) I was actually hoping for a "traditional" line sensor.
I don't see it. Depends on where the bottleneck is and what kind of interface the sensor exposes to the firmware.Double scanning speed for lower resolution still seems odd for an area sensor.
Much of the problem is likely in the optics; in this scanner the optics are optimized for the application, which is a different ballgame from a regular camera lens which needs to work at a variety of focus settings. In this case they can get away with a fixed focus and fixed aperture design.I have some experience scanning 35mm film on m4/3 and it's not that great
I don't think we can say something like this at this point. You need to factor in the entire image chain and compare at the application level.True 4000dpi scanners are definitely better at pixel level.
It's not a big unknown; they're using an RGB light source and no IR channel, so there's not going to be some kind of optical ICE implementation.Software dust&scratch repair is also a thing thats a big unknown.
It's very explicit/clear from the hardware design. It's a regular CMOS sensor, so not a linear array.
I think you're drawing a lot of conclusions without taking into account the available information on the project.
I must have missed the explicit statement that the sensor is an area one.
I agree. I don't know where the bottleneck is in their setup.5min per roll is actually very slow for an area sensor capture.
)...@gswdh, thank you for your information! Any we look forward to any additional details about this scanner.
I know that you are probably bombarded by request for any test scans, so I won't do that here (or did I just do that?)...
So great to see that you keep an eye on Photrio folks... This scanner deserves a proper dedicated thread!
edit: Duh... I DOES have it's own thread!
.I think I might start a new thread considering how much has changed.
I think I might start a new thread considering how much has changed. I will open one with some scans.
Hi all, Iām George, the owner, founder, and sole engineer at Soke. The topic of image sensors is a bit of a contentious one that falls into the overall film vs digital debate ā i.e. why shoot film and then just scan it with your digital camera?
There are many, many dimensions to the trade-offs with image sensor size, type, and usage, along with lens pairings and backlight design.
One of the main ones is noise / integration time. The reason a āfull-frameā sensor is desired in a digital camera is really driven by the fact that the user is limited both by the amount of light entering the camera and by the limitation in integration time due to having to use it handheld (mostly). This means the pixel sensitivity needs to go up, which increases noise / degrades image quality, etc.
But in Knokke, we are in control of the amount of light going into the sensor. We put a lot into the system to end up with enough light at the sensor to use a (relatively) small sensor with very high performance (dynamic range) for its size, so we donāt need to use any gain.
But then why use a smaller sensor than full frame if we donāt have to?
As for linear sensors vs area sensors: itās a bit of an apples-and-oranges debate. Both can be good, or better than each other, technically. But area sensors make more sense at this point due to the sheer quantity of production and the number of models to choose from. This makes them dramatically cheaper and more accessible. Linear sensors are not used in high-volume commercial applications and so are much more expensive. These days, image sensor manufacturers who make linear sensors typically also make area sensors, and the linear sensors tend to use exactly the same pixel designs anyway.
- For a small company like us, the cost of just a full-frame image sensor, in the quantities we would be buying, would be more than the current retail price of Knokke.
- A smaller image sensor means lower-cost optics, which is the most expensive aspect of the design, where almost 40% of the BoM cost goes. For example, reducing the image sensor size by two times reduces the size of a lens by four times and ths reduces the cost at an even higher rate. Using a smaller sensor makes the optics small enough that we can spend sufficient money on them to achieve very high performance.
The old Toshiba CCD sensors are absolutely terrible in terms of optical performance and are basically the reason why the majority of currently existing film scanners are so slow.
That's not how I interpret this; I expect they photograph the entire image in one go.If I understand correctly, you're photographing the 24x36mm negative a number of times with your smaller area sensor, followed by stitching.
That's not how I interpret this; I expect they photograph the entire image in one go.
So nothing moves and no extensive processing is necessary in the firmware, let alone hardware.
Something interfaces between the sensor and the USB stack.
Not necessarily, see above, but I do expect that it's the major bottleneck since that's where the matrix of let's say 25 million image sites is smashed down into a relatively narrow data path.But are you suggesting that ADC conversion is entirely responsible for the very large published differential?
lower-cost optics, which is the most expensive aspect of the design
Not being flippant at all. A CMOS image sensor doesn't come with a USB interface, so a bit of hardware needs to go between it. Currently that would typically be something like an STM32-series microcontroller.
ADC conversion I expect takes place on the CMOS device itself (on-chip ADC's) and that it offers digital readout. Without having looked too deeply into relevant datasheets or having run numbers on it, I would expect there are three potential bottlenecks that limit datarate:
1: The actual on-chip ADC('s), assuming there are any. These will likely sample one pixel at a time and offer the output to the outside world. This means the X-megapixels need to be clocked out in a semi-serial fashion. This slows things down considerably even if you use a high clock rate on the ADC's.
2: The path from the CMOS (more to the point, its ADC's) to the microcontroller or whatever device reads the image data and sends it to the host machine. This needs to be timed in accordance with (1) above, but there can be additional limiting factors here depending on hardware choice.
3: The actual USB connection; we know the device uses USB-C but that doesn't guarantee it uses USB3; it can still work at USB2 speeds.
Not necessarily, see above, but I do expect that it's the major bottleneck since that's where the matrix of let's say 25 million image sites is smashed down into a relatively narrow data path.
PS: I think it's also safe to assume that the choice has been for a CMOS image sensor with onboard ADC's since the electronics design and signal handling of doing that off-chip on a custom board would be akin to rocket science. No disrespect to the developers here, but that's a different league of EE.

More so, let's keep in mind that this is a fixed-focus design. I imagine that makes the optics a little easier to optimize as well. Besides, all it has to do is approximate the resolving power of the sensor; not more than that. OK, that's still around 160lpm, I suppose.At or near 1:1 magnification symmetrical lenses automatically correct for lateral aberrations which would make it much simpler to design a lens which corrects for the other longitudinal aberrations with fewer lenses. So I would guess that they chose a symmetrical lens
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