Denso Launches ‘Frame’ QR Code

Denso have announced a new kind of QR Code called ‘Frame QR’. The new code has a blank ‘canvas area’ in the center of the code where images, illustrations, holograms etc., can be placed without affecting scanning and decoding. Frame QR is not compatible with normal QR Codes and requires different software to generate and read the codes. Denso plan to release a cloud service ‘Q platform’ which will include the generation using templates (image below) and decoding functions. A free QR Code reader app for iOS and Android which has the Frame QR reading function will be available as well. The release is due next month.

Example of a Frame QR Code

I am not sure as the purpose of this development and what Denso hope to achieve. QR Codes are widely recognized and can already have embedded logos and images. If a consumer sees a Frame QR in the wild they will scan it with their existing QR Code scanner app, only to find it doesn’t work. Even if there are advantages to the Frame QR I can’t see them replacing the standard QR Code.

Templates for Frame QR Code

QR Code Garbage Disposal

The Shiba Street community in the ancient Chinese city of Hangzhou are trialing QR Code ‘Intelligent Garbage Disposal’. Every household is issued with QR Coded bags for ‘food waste’ and ‘other’. When they take the bags to a collection point they show the QR Code on the bag to a scanner built into the wall of the disposal center (images below). The system recognizes the QR Code and opens the appropriate door for disposing of that particular kind of waste.

As well as indicating the type of waste, the QR Code on the bag is also unique to each household. Households earn ‘green points’ for correct disposal and can lose points for putting the wrong things in the bags. Accumulated points may be used for discounts on a variety of items available through a participating online supermarket. The QR Codes visible in the images below explain the system and allow online purchases in the supermarket.

Using QR Codes to promote and encourage recycling is not a new idea. Over three years ago QR Codes resolving to recycling videos appeared on the sides of 2,200 New York City Department of Sanitation trucks.

Correct garbage disposal earns 'Green Points'

Acoustic Near Field Communication (ANFC)

Microsoft announced the development of Dhwani, a secure peer to peer acoustic near field communication, just a week before they announced they would be terminating the Microsoft Tag service. The development was completed at Microsoft Research India and Dhwani is the Hindi word for ‘sound’. A novel feature of Dhwani is ‘JamSecure’ a technique which uses self-jamming, coupled with self-interference cancellation at the receiver, to provide a theoretically secure communication channel between the devices. The full paper is here (PDF).

Acoustic NFC

QR Codes, Viewpoints And Curved Surfaces

About the author: Patrick Scheibe is head of the image processing core unit at the Translational Centre for Regenerative Medicine (TRM) Leipzig. Beside working in medical image processing he loves interesting problems, is an enthusiastic user of Wolfram Mathematica and an active member of

When I come across QR Codes they are usually printed in a magazine or put as a sticker on objects. One thing they all have in common is that they are flat squares or rectangles and that you have to scan them from a direct view. This raises the questions what if you cannot ensure that the user has a direct view onto the QR Code or even worse, if you don’t have a flat surface for the Code sticker? A solution to the latter question could have some nice practical applications in the real world. You could for example put QR Codes on shopping cart handles or even inside a cup, of course on the curved surface and not on the bottom which would be trivial 🙂

Flat surfaces from a different angle

To work out a solution for curved surfaces let us evaluate the situation for flat surfaces first.

PlaneWe start with a very simple example. The image on the left shows a plane viewed from some arbitrary point. Our intuition tells us instantly that this looks like a square on the floor, although if you take a ruler and measure the sides you’ll find out that all sides have different lengths while they should be equal if it really was a square.

If you put now a QR Code on this plane and try to scan it from the image’s view point, it is most likely that this will fail. Common sense tells us that the reason is simple: We are viewing this plane from the wrong perspective. A view from the top of the plane would be more appropriate.

On closer inspection you might become aware that you are currently reading on a flat 2D screen and most likely you’re having the best direct view onto it right now. What you see is and was never a 3D plane, it is the illusion of a plane in 3D space. The only thing we really have is the 3D definition of the plane and an approach to draw this onto your screen so that you have the feeling you are viewing an image of a 3D scene.

Plane image with QRThis process of creating a 2D image from a 3D scene is called Perspective Projection and it provides us with something very important: It assigns each 3D point of the scene a 2D point on our monitor. What if we could reverse this process and calculate a 3D point on the plane for some arbitrary point on the screen? With this we could easily glue a real (2D) QR Code to our monitor and calculate the corresponding points on the plane.

The image on the left shows exactly such a setting containing the same 3D plane scene as before but additionally, the image includes a QR Code which looks like it was glued to your screen.

Now imagine you would follow each black pixel of the QR Code through the virtual 3D scene until it hits the plane. You could paint the plane black at those points and you would get a projection of this QR Code onto the plane. This would create the illusion of the QR Code being upright in front of you while in reality it is drawn on the plane.

Printed QR Code on planeActually, this is exactly how I created this image because what really is depicted in the above image is a warped QR Code drawn on the plane which only looks as it would be upright on your screen’s surface. If you don’t believe me you should look at this.

If you are still suspicious, because you think I tricked you into something, then there is an easy solution: try it yourself. The projection of the QR Code is just an image which can be printed. You should ensure that you leave the aspect ratio of the image intact when you print it, but otherwise you just have to scan the QR Code from about the same view as in the 3D plane image above.


Extension for curved surfaces

Cup View 1If you have followed the article until here you might ask the question why this should be restricted to planes? Basically we did nothing more than following QR Code pixels through the 3D scene until we hit an object. Be it a plane or something else. Therefore, exactly the same approach can be used for curved surfaces like a cylinder. The difference between a simple plane and something curved is, that it might be harder to get the 3D points of the surface because that we have given the 3D points of the surface is a fact we simply assumed until now.

Without going into detail, for many curved surfaces such a definition is available and even if it is not, then there are other approaches which could be used. The calculation of the 3D points of a cylinder and therefore doing the QR Code projection is quite easy and will serve as example because it opens us the opportunity to create scannable QR Codes for cups, shopping cart handles, pens and more. Since the outside of cups is very often heavily printed, why not put a QR Code on the inside?

Cup View 2In the image on the left you can take a look on the flat printed sheet of paper. This reveals that the QR Code is indeed more warped than the one of the first example and is impossible to scan when laid out flat. If you want, you can try this example for yourself too. Take a cup and measure its inner diameter d with a ruler. Calculate the circumference of the corresponding circle by d*3.14 and print the image with exactly this width in landscape. After cutting it along the grey frame of the image, the paper strip should fit more or less perfectly inside your cup.


Roll View 2Another example shows that even quite unusual viewpoints can be achieved with this technique. Here, the correct viewpoint is not obvious to find, since the QR Code on the paper roll is heavily distorted and leaves users unfamiliar with the approach with no clue what to do.


Roll View 1The situation clears up when viewed from the correct angle:

When you click on the image to see a larger version, you may notice that I haven’t put much effort in taking the photo from the perfect viewpoint. Nevertheless, the QR Code can be scanned easily.


Practical Considerations

Although in theory a lot of things are possible, some practical considerations should be discussed. The first thing you should think about is, that if you are really going to print a QR code and glue it onto the surface, you have to be able to affix it flat onto the curved surface. For the round part of a cylinder this is no problem as depicted in the last images, but if you ever tried to wrap a ball into a sheet of paper, you recognize that this is not possible. Therefore, QR Code stickers will not work in all situations.

Another consideration is the viewpoint. When someone sees one of the usual squared QR Codes, it’s quite obvious to him that this has to be scanned from a direct view. Finding the right viewpoint for a heavily transformed Code is neither easy nor obvious for the layman. Therefore, if you are going to use the described technique, you should ensure that the user has no other option than scanning it from the right angle. A good example is the image of the cup above, which is pretty easy to scan, because the viewpoint from which you see the QR Code completely is close to the perfect angle and should work with most scanning devices.

DOFOne crucial point which needs consideration is the scanning device itself. Mostly this will be a smart phone which uses the built-in camera. Depending on the optical system of the camera, the view angle and the distance to the photographed QR Code it might not be possible to get the QR Code acceptably sharp.

This is called depth of field and for very extreme perspectives it might not be possible the get a sharp image of the whole QR Code which prevents it from being scanned.

In summary one can say that we have seen it is possible to create the illusion of an upright QR Code for perspectives other than the direct view. Furthermore, this approach can be extended to work for curved surfaces as well. If this technique can be used in real life remains to be seen, but there are clearly situations where transformed QR Code would open new opportunities.

Further reading

The purpose of this article was to explain the approach of QR Code transformation in an understandable way, as far as possible. Therefore, I used neither formula nor did I give source code which makes it impossible to use the method yourself. If you want to know the details of the approach, I hope the following links give you a start:

  • The most important resource is probably my answer to the question QR Code in shopping cart handle on In the answer there I give a detailed explanation how the approach can be implemented using Wolfram Mathematica and I provide functions for putting QR Codes on shopping cart handles.
  • For explanations about the required mathematics, you can start reading on Wikipedia to get a first overview. There you find detailed information about 3D projections, camera projections and homogeneous coordinates which are used in computer graphics to express all kinds of transformations easily.
  • A nice reference to computer graphics using OpenGL is the so-called Red Book which gives good explanations about viewing transformations or the camera model in chapter 3.

Microscopic QR Code

When I read of a microtaggant labelled with a QR Code I have to admit that I did not know what a ‘microtaggant’ was. I discovered that it is a microscopic identification particle used to trace or to prevent counterfeiting. For example multi-coloured, multi-layered microscopic particles only half the diameter of a human hair (80 microns) may be used for tracking and tracing explosives. Microtaggant is also a registered trademark that belongs to Microtrace LCC a company specializing in anti-counterfeit microtaggant technologies.

Apparently getting a QR Code onto a microtaggant is a breakthrough because it allows much more information to be carried on the microscopic particle itself (image below). Although small it is not the smallest QR Code in the world, the smallest so far was produced at Trinity College, Dublin earlier this year.

Korean University professors W. Park and S. Kwon together with co-workers have described the new process in a scientific paper, Lithographically Encoded Polymer Microtaggant Using High-Capacity and Error-Correctable QR Code for Anti-Counterfeiting of Drugs in the journal Advanced Materials Volume 24, Issue 44, page 5924, November 20, 2012. The paper is nicely featured on the journal’s cover (image below).

Tiny QR Code on a microtaggant
Cover of Advanced Materials journal