[NetEase Smart News, August 27] - As artificial intelligence continues to evolve, it’s becoming increasingly clear that this technology can be applied to nearly everything – including something as personal and permanent as tattoos.
A group of developers behind the Tattoodo app were looking for a more efficient way to categorize the vast collection of images they had amassed. So, they developed an algorithm to build a neural network that could teach itself to recognize and classify tattoo styles using an iPhone camera. This involved feeding a deep learning framework named “Caffe†with datasets containing images of various tattoo styles. Once trained, the AI proved capable of identifying tattoo styles with remarkable accuracy.
Tattooing has long been a deeply personal and permanent form of self-expression. For centuries, the process hasn’t changed much – it remains intimate, rooted in tradition, and tied to memories of the past. However, we’re now seeing how artificial intelligence can bring innovation to industries that have remained largely unchanged for millennia.
Developers Dennis Micky Jensen and Goran Vuksic are pioneering this new frontier in visual recognition, which holds immense potential for those considering getting inked. While the AI isn’t yet integrated into the app (as they’re still collecting and labeling data), their goal is to complete the training phase and refine the system further. In an email interview, Vuksic explained:
“Before we implement this model in the app, we want to use it first to classify our existing images. We currently have 360,000 photos, but only 100,000 of them are labeled (the ones we used to train the neural network). The AI will assist us in sorting through the remaining 250,000 images. Proper classification is critical because it allows us to offer users personalized recommendations based on their preferences – whether that’s the tattoo style they love, the artists they admire, or the technical skill of the artist.â€
Without artificial intelligence, the task of manually tagging every single image would be tedious and time-consuming. Users would need to individually review each photo, assign tags, and categorize them accordingly. By automating this process, the AI can drastically improve efficiency and ensure consistency across the database.
More images mean more inspiration, more organized categories, and ultimately, better suggestions for future designs. If artificial intelligence fails to solve problems, simplify life, or operate seamlessly, then its purpose is lost. This project is a testament to how AI can quietly enhance our daily experiences without us even realizing it.
[Original English Source: The Next Web | Compiled by NetEase Smart Compiler Platform # ç± imone]
Frequency Converter
These keywords represent critical components and applications within the electrical and industrial sector. Here's how they can be classified:
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Frequency Converter: A frequency converter is a device that converts the frequency of an alternating current (AC) to match the requirement of a particular electrical device or system. This allows equipment designed for specific frequency to operate in regions where the electrical supply has a different frequency. For example, a frequency converter can be used to allow a device designed for a 60Hz supply to operate in a region with a 50Hz supply.
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Variable Frequency Drive (VFD): A VFD is a type of motor controller that drives an electric motor by varying the frequency and voltage of its power supply. VFDs have significant applications in industrial systems and machinery, where they allow for precise control of motor speed and torque, leading to increased efficiency and longevity of equipment.
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Pumps, Fans, Conveyors: These are common applications of motors controlled by VFDs. The variable speed provided by the VFD allows these systems to operate more efficiently and adjust to the specific demands of their task. For instance, a pump's flow can be controlled more accurately, fans can be speed adjusted according to the cooling requirement, and conveyor speed can be precisely managed based on the production line's needs.
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Phase Motor: A phase motor refers to the type of electric motor, which operates based on the phase of the power supply. The most common types are single-phase motors and three-phase motors. Single-phase motors are usually found in lower power applications like household appliances, while three-phase motors are used in higher power applications, often in industrial settings. These motors can be controlled using VFDs for enhanced performance and efficiency.
These components play significant roles in various industries and are essential for efficient operation in many modern systems. The use of VFDs and phase motors, in particular, has revolutionized the way we control and optimize industrial processes, leading to substantial improvements in energy efficiency and system longevity.
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