Featured image of post The Huge Revolution that AI has Brought in the Field of QR Codes

The Huge Revolution that AI has Brought in the Field of QR Codes

In recent years, the rapid development of AI technology has profoundly changed our way of life. QR codes, as a fast and convenient tool for information transmission, have also been widely used globally. This article aims to explore the transformation brought by AI in the field of QR codes and to elaborate on its positive impact on people’s lives.

Enhancing the Speed and Accuracy of QR Code Recognition

By utilizing deep learning, image processing, and other technologies, AI can quickly identify QR codes from complex backgrounds and correct issues such as tilt, blurriness, and obstruction, thereby improving recognition efficiency and user experience. (This means that some “fancy” QR codes are about to reach their potential.) For example, take a look at the image below: 一张倾斜放置的二维码

Expanding Application Areas

The introduction of AI technology has brought enormous expansion opportunities to the application areas of QR codes. With AI algorithms, QR codes can be seamlessly integrated with images, becoming more aesthetically pleasing and possessing greater developmental potential. Platforms like qrbtf and quickqr have ventured into the AI field, creating QR codes that evoke a sense of peering into reality from cyberspace. I believe this will spark a significant transformation across many industries. These new QR codes create a fantastical and extraordinary interface, far surpassing the chaotic reality represented by traditional QR codes. For example:

美轮美奂的境界 巧妙的融合 (The first image was created by a research team in China, showcasing a scene of dusk and dawn amidst the white mountains and black waters, with poetic beauty. The second image was created by a foreign research team, cleverly integrating a cat made of building blocks into the image, presenting a unique aesthetic. I must admit that this is a masterpiece of AI.)

Promoting Business Innovation

This topic has also been a point of discussion with friends, and this article only explores its positive impacts. The widespread application of AI technology in the field of QR codes has had a positive effect on business innovation. From the previous two images, it’s evident that the intelligent application of QR codes provides new opportunities and business models.

(If you need to validate my hypothesis, experiments can be conducted to analyze the data from scanned QR codes, helping relevant parties understand consumer preferences and execute precise marketing and promotions.)

In my view, the innovation of QR codes has sparked the potential for business development, providing companies with a greater competitive advantage.

The Impact of New QR Codes on the Cultural Industry

In my opinion, new QR codes will bring “disruptive” changes to the cultural industry. Integrating traditional Chinese culture into QR codes will help promote the creative transformation and innovative development of outstanding traditional Chinese culture. Furthermore, AI-generated QR codes can also combine with two-dimensional culture to drive new developments. For example:

qrbtf官方制作的动漫风格的二维码 △Anime-style QR code created by qrbtf

qrbtf官方制作的油画风格的二维码 △Oil painting-style QR code created by qrbtf

qrbtf官方制作的青花瓷风格的二维码 △Blue and white porcelain-style QR code created by qrbtf

The Mechanism Behind AI-Generated QR Codes

  1. Use relevant software to generate a QR code image.
  2. Beautify the image using Stable Diffusion.

Although it seems straightforward, the actual operation can be a bit cumbersome. Typically, Stable Diffusion has high requirements for device configuration. Consequently, relevant developers have created web versions of Stable Diffusion (using shared GPUs with limited functions), such as DreamStudio and Stable Diffusion on Hugging Face Spaces, as well as the qrbtf website.

Practical Examples

借助quickqr的discord机器人生成的猫 △A cat generated by quickqr’s Discord bot

同样是quickqr的模型,但融合不够恰当、合理 △Another model from quickqr, slightly inferior due to inadequate integration

huggingface的模型,是一座城市的鸟瞰图 △A bird’s-eye view of a city generated by Hugging Face

huggingface生成的中世纪风格的古堡图片 △A medieval-style castle image generated by Hugging Face

Afterword

This article has been written slowly; I started on July 10 and kept writing until the final draft on July 18 (perhaps due to being busy lately). There might be some disjointed sections, and I hope my friends will forgive me.

The QR codes generated by qrbtf are among the best AI QR code generation tools I know of. However, it is still in internal testing, and I cannot generate my QR codes with it yet. The codes it generates currently all point to its site. For example, see the image below:

图片

The API key for qrbtf.com in internal testing is qrbtf-ai.

Additionally, quickqr’s bot is also a great tool. The specific operations are not elaborated here; please refer to its official website.

The Stable Diffusion model on Hugging Face is somewhat less impressive, and the expressions of the generated portraits can be a bit strange.

Here are the URLs:
https://qrbtf.com/
https://quickqr.art/
https://huggingface.co/spaces/huggingface-projects/QR-code-AI-art-generator
https://huggingface.co/spaces/ioclab/ai-qrcode-api
https://huggingface.co/spaces/stabilityai/stable-diffusion

Summary and Reflection

The application of AI in the field of QR codes has brought about tremendous changes in people’s lives. It has improved scanning speed and accuracy, expanded the application areas of QR codes, enhanced security mechanisms, and promoted the development of business innovation, leaving people amazed. However, we must also recognize that the application of AI technology is a double-edged sword. The survival of the fittest applies here. Progress in productivity will ultimately leave those who stagnate behind. (As a friend once said.)

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