:::

【2020 Application Example】 Wending x Woodcut Thinking creates an AI calligraphy assistant, and the cultural heritage of the traditional calligraphy industry is now dawning

The only remaining calligraphy shop in Taiwan, cultural heritage exposed to crisis

A certain traditional type casting shop in China is the only one "still operating" in Taiwan. It has a sense of mission and hopes to pass on Taiwan's long-standing beautiful letterpress technology. But even if you want to continue to cast characters, the existing molds have been repeatedly cast for more than 40 years, and the "copper molds" used to cast lead characters have been damaged. The tall lettered walls in the store are facing the predicament of being eroded by time.

Each "copper mold" can be used to produce 10,000 typefaces, so it is called the "mother of typefaces." If the handwriting on the copper mold is blurry, the cast lead characters will also be blurry. After printing, there will be incomplete radicals and uneven strokes.

In Taiwan from the 1950s to the 1970s , the

▲In Taiwan from the 1950s to the 1970s, the "block regular script" copper molds used to cast characters played an important role in spreading civilization.

Because of the serious collapse of the copper molds, the owner of the calligraphy shop launched the "Character Bronze Mold Restoration Project" in 2008. Together with a group of enthusiastic volunteers, they first repaired the "Blockcase" copper mold fonts. In the past three years, various discussions and workshops have been in full swing, with non-stop discussions every week, and it seems that the day of replicating the copper mold is just around the corner. However, this optimistic prospect encountered an unexpected crisis and was eventually forced to pause because the characters restored by each person had very different personalities. Although they were beautiful, they did not look like the same set of fonts...

Bronze mold font restorer's

▲It is not easy to develop the "common characteristics" of copper mold font restorers

The long-running "Font Bronze Mold Restoration Project"

After the failure in 2008, it was a huge blow to the type foundry. Because they could not use these fonts, they felt that they were unworthy of the enthusiastic efforts of the volunteers and the most important copper molds continued to be damaged, especially the most important ones in the store. The valuable "block script" copper mold was damaged a little more every time a character was cast, which made Rixing anxious!

The copper mold is damaged from

▲The damage to the copper mold starts from the "missing corner", gradually breaks into pieces, and finally collapses

In order to at least preserve the "appearance" of the font before the copper mold was completely destroyed, the calligraphy shop restarted the restoration project in 2016! With the assistance of several important volunteers and the Justfont font team, the most severely damaged "block script" type 1 and some "Song Script" type 1 and 2 were scanned and saved. When resources are available, they can be "Scan the image file" to convert the "font file", and then use the computer to refine it. After that, the 60-year-old boss slowly repaired more than 120,000 Japanese fonts at a rate of 5 characters a day.

In view of the fact that the pace of manual repair is far less than the rate of wear and tear of the copper molds, the type foundry has used more rigorous testing and selection to gather 3 to 4 talents who are willing to assist in long-term restoration. In addition to re-carrying out font education and training, we also added "calligraphy" course training. Most importantly, in order to develop a unified standard for calligraphy repair, these restorers must repair calligraphy simultaneously for months or years, and review the repair results every day in order to reduce errors and achieve consistency. It is expected that three restorers will work together to perform long-term restoration of 5 characters a day; with pre-training, it is expected to reconstruct a complete 4,500-character "block script" initial size font for traditional Chinese characters in 2 to 5 years...

Look at a repairman Calligraphy master, how many days will it take to complete all the calligraphy?

▲How many days does it take for a calligraphy master to finish all the calligraphy?

Wending Technology assists, creating AI word-making assistant

Wending uses the world's leading Chinese character creation technology and tools to assist calligraphy industries, and also promotes the AI ​​value-added transformation plan of information service providers through the Industry Bureau's AI smart application service development environment promotion plan, and AI The award-winning new manufacturer Mukesi cooperated with R&D to integrate AI technology to improve character creation productivity, thereby shortening development time and reducing costs.

In the early days, Wending required font designers to create each character from scratch, stroke by stroke. It has evolved to the point where it can use existing character roots to compose characters and pre-assemble complete characters. However, this preliminary pre-assembled character may have overlapping strokes and poor space and thickness. It will also require the designer to spend a lot of time adjusting before producing a usable font product. Through the AI ​​value-added module, the system can learn some of the font styles that have been modified by the designer, and automatically adjust the structure, stroke thickness, etc. of the remaining characters. Finally, the designer can spend less time confirming the quality and With minor modifications, a usable font product can be completed, significantly reducing the time cost of creating characters.

Import Wending bonus AI Character Creation System Process-1 of 2 (Introducing AI Engineering Technology)

▲Importing Wending’s value-added AI character creation system process-1 of 2 (importing AI engineering technology)

With global font and cross-platform font technical services as its core, Wending Technology provides various font solutions to major manufacturers, system vendors, and government units around the world. Taking the development of new fonts in the past as an example, we have completed a set of It takes a whole year to create a 10,000-word font. The Industrial Bureau of the Ministry of Economic Affairs guided Wending Technology to cooperate with the AI ​​startup Mukesi to learn the font style through AI. It only needs to complete 5,000 words to automatically generate the other 5,000. The fonts are not yet created, and then the quality is confirmed and adjusted, allowing the designer to complete the entire set of fonts in less time, greatly increasing work efficiency by 50%! In the future, we will continue to optimize the character creation module, allowing AI to complete more than 90% of font design, accelerating the production of new fonts.

Import Wending bonus AI Character creation system process-2 of 2 (importing Wending character creation platform)

▲Importing Wending’s value-added AI character creation system process-2 of 2 (importing Wending’s character creation platform)

Wending Technology’s font innovation has been adopted by all walks of life. For example, the 30th Golden Melody Awards used fonts for stage visual design, and Tsai Ing-wen’s presidential campaign team also used platform fonts for presidential election propaganda. In 2019, it was added through AI Value-added transformation of the operating model resulted in revenue of NT$15 million in the first year and is expected to increase revenue to over NT$180 million within 5 years.

Smart font design service platform

Using AI-assisted character creation to lower the threshold of font design, it can be transformed into a "smart font design service platform" in the future, providing designers with self-created fonts, and also serving corporate font design, helping designers achieve what is otherwise impossible. The complete set of font development completed by an individual can also achieve the division of labor between design and development in the professional field of character creation, and become the first step to the success of font OEM, which will have a significant impact on the design and application of fonts.

The iFontCloud font library with AI added value has changed the original operating model, from being limited to font design by Wending Technology’s internal designers to breaking through the limitations of the original customer base and cooperating with external designers. Establish and activate the ecosystem within the word-making industry circle.

AI value-added word creation process output Font products: Wending cloud platform font management tool

▲Font products produced by AI value-added character creation process: Wending cloud platform font management tool

General Manager Wu Fusheng of Wending Technology said: The Industrial Bureau has guided and participated in the AI ​​value-added plan to demonstrate the empirical results. It has continued to invest 6 million every year since 2019, and has invested a total of 30 million in AI technology research and development by 2023. Wending plans The next stage will be transformed into a "smart font design service platform" and the iFontCloud font library will be opened to all people who love words. Everyone can create personal style fonts through the platform and can be applied in various fields. It is expected that will create greater business opportunities.

iFontCloud-AI value-added word creation process The font products produced are sold on the Wending cloud platform

▲The font products produced by the iFontCloud-AI value-added character creation process are sold on the Wending cloud platform

「Translated content is generated by ChatGPT and is for reference only. Translation date:2024-05-19」

Recommend Cases

這是一張圖片。 This is a picture.
AI-Based PCBA Surface Defect Detection Improvements

With the introduction of theAOIAIWith the introduction of the system, we can improve product yield, reduce costs, and from a business perspective, increase customer trust and sales revenue Moreover, AIit has advantages that are difficult to imitate, unlike other equipment that can be bought with money, making it hard for our competitors to catch up with us Our company's current development We are committed toIOTsmart manufacturing our systems already include smart materials systems, environmental humidity control systems, anti-miscarriage systems, smart procurement computation systems, smart inventory systems, solder paste management systems, and production management systems We have asked other manufacturers about the possibility ofAIinspectingPCBAsurface defects, each hoping that we would purchase their equipment, but none were effective upon verification After discussing with IT service providers, we defined it asAOIAIa feasible operational model Tzuhong Technology has invested inAOIAIan inspection plan to checkSMTtext on components, solder joints, polarity, missing partsand usingAIto replace manual learningAOIand define the 'potentially defective' parts, enhancing productivity and reducing misjudgment rates Industry pain points Taiwan faces a severe labor shortage, especially those willing to perform visual inspections are few and typically older, increasing the frequency of missed inspections Thus, the most critical bottleneck in the pursuit of high-quality electronics has become post-production inspections Previous consumer products with undetected anomalies were acceptable within a certain ratio However, in the automotive industry today, undetected defects could lead to fatalities hence, the automotive industry has extremely high quality demands To survive in the automotive supply chain, we must address the issue of undetectable anomalies Moreover, as wages in Taiwan continue to rise, we can only endeavor toAIreplace traditional manpower with technology, otherwise, even if the anomaly leakage problem is resolved, the relatively high labor costs will still prevent competitiveness in this industry Application technology and explanation Initially,Figure 1,PCBUpon emerging,Reflowsystem, it will undergoAOIwill undergo inspection, dividing into 'suspected defective' and good products At this point, the 'suspected defective' portion accounts for20manual review for these20parts, further classifying the 'suspected defective' portion into good and defective products With We aim to leverageAItechnology, to shift from manual re-inspection of these20technology, we aim to replace manual review of 'suspected defective' products withAIand after review, the results still yield 'good' and 'suspected defective' products, but now 'suspected defective' comprises only3thus reducing the workload of Tzuhong's employees from20down to only3In theory, it isAOIIn theory, after inspection, it is further reviewed byAIbut it appears to go throughAOIonly, so we call this technologyA0IAIDetectionFigure 2。 The original AOI inspection process The operator will place the testPCBboard intoAOIthe inspection equipment, outputtingAOI information on defective products, then manually re-inspect one by one to determine if they are defective AOIAI inspection process The operator will place the testPCBboard intoAOIthe inspection equipment, outputtingAOIinformation on defective products after, then proceed byAIfirst performingAOIre-assessment of defective products, outputtingAIinformation on defective products afterward, then manually re-inspect one by one to determine if they are defective Process differences By introducing theAOIAIsystem, not only can we enhance the efficiency and yield of visual inspection personnel, we also have this timeAIexperience in system introduction, we will also incorporateAIthe use of big data into Tzuhong's existing smart manufacturing systems, further enhancing the performance of our smart manufacturing systems and reducing the pressure on employees Difference between pre and post-introduction Promotion strategy 1 Similar field diffusion allSMTmanufacturers face bottlenecks in inspections leading to shipment delays introducing this system can solve the severe labor shortage issue and enhance shipment speed and quality, allowing self-promotion to customers or through equipment dealers to cater to relevant needs 2 Cross-industry expansion plans negotiate withAOImanufacturers to directly integrateAIthe system intoAOItheir systems, enhancing their market competitiveness Profit strategy 1 In collaboration withAOImanufacturers, collect licensing fees 2 Direct sales toSMTthe manufacturing industryAIsystems 3 ProvideSMTmanufacturing industryAOIAIsystem subscription model「Translated content is generated by ChatGPT and is for reference only Translation date:2024-12-09」

【導入案例】赫銳特科技VCSEL封裝元件瑕疵導入AOI檢測 提升產能效率20
HRT Technology Improves Production Efficiency by 20% Through AOI Detection of Defects in VCSEL Packaging

In 2017, the launch of the iPhone X made 3D sensor technology used in Face ID highly popular, which drove the development of VCSEL, a core component in the 3D sensor module In the detection of defects in incoming packaged VCSEL, the use of AI inference models can solve the industry's issue with low yield and improve reliability to 95 VCSEL technology currently can be used in many applications and various end consumer markets, including robots, mobile devices, surveillance, drones, and ARVR VCSELs are a good solution in applications that require high-speed modulation capabilities, such as cameras and biometrics VCSEL technology has a wide range ofnbsp applications, including in drones Pictured Zoyi Technology's Agricultural Drone VCSEL technology has a wide range of applications, AI technology assists in defect detection HRT Technology stated that the packaged VCSEL market is also facing strong price competition from competitors, and needs to further reduce costs and enhance product competitiveness One of the key problems is the replacement of glass lens with epoxy resin lens The production of traditional glass lenses has high yield, but the cost is higher than that of epoxy resin lenses Due to the cutting process of epoxy resin, the side wall of cutting lines can easily have rough edges, causing it to be oversized The release of stress caused by heat during the mounting process will directly cause the optical lens to break HRT Technology pointed out that the incoming inspection of VCSEL epoxy resin lenses is very important Under the constraints of packaging space, the space for fitting the package and optical lens is limited Moreover, the optical lenses will be confined to a metal frame If the dimensional tolerances are properly controlled, stress release due to heat during mounting can easily cause the optical lens to break, resulting in a yield loss of up to 10 in the VCSEL package reliability verification, resulting in an increase in production costs In order to solve the problems above, HRT Technology hopes to use AI to monitor the size and appearance defects of epoxy resin components in the VCSEL epoxy resin lens incoming stage, verifying whether their dimensions meet specifications, whether the cutting edges are smooth, and whether there are any defects in their appearance Since traditional incoming material inspection requires a rough visual inspection by humans to distinguish the quality The problem of image collection needs to be solved first to successfully collect image data Therefore, HRT Technology first developed an Automated Optical Inspection AOI device, which includes X, Y, Z three-axis motion, high-resolution cameras, and related control software to automatically record images After collecting the image data, opencv aligns the test image and a normal image to determine differences between the two images, and then pixel mapping is used to compare the pixel area to complete initial screening Manual labeling is carried out according to the image classification above, including samples that are normal, have defects in appearance, or have different shape characteristics, and then algorithm training and verification is carried out Residual neural network ResNet or other related algorithms are used for deep learning to identify the quality of lenses Implementation of AOI inspection improves production efficiency by 20 and above Comparing the differences before and after the implementation of AI image inspection, the incoming VCSEL lens inspection before implementation only involved manual inspection of the appearance The lens is packaged on the VCSEL package that has completed die bonding After passing the general light up test, the final reliability test high temperature reflow is performed Failed samples go into the rework process However, after the implementation of AOI inspection, it can screen defective lenses sooner and reduce the cost of subsequent materials input, it can also reduce the need for rework due to failure, improving yield to 95 and above in the reliability verification This is expected to help companies reduce production costs by 10 and increase production efficiency by 20 and above The difference before and after implementing AI image detection HRT Technology pointed out that this technology is an AI application developed based on tiny images It uses deep learning algorithms to identify defects in the images The trained network automatically classifies image data to predetermined categories Defect categories can be determined through reference images, so cumbersome programming is not required In the industrial machine vision environment, deep learning is mainly used for classification tasks in applications, such as inspection of industrial products or identification of parts In the future, with the development of IoT wearable devices and the trend of energy saving, the size of optoelectronic components will continue to shrink This technology can be applied to the detection of defects in the appearance of other tiny optoelectronic components in the future

這是一張圖片。 This is a picture.
[2023 Case Study] AI Steps into Philanthropy: Stylish Tech at Food Banks

Taiwan Food Bank AssociationHereinafter referred to as 'the Association'With the mission of providing food aid, poverty relief, reducing food waste, and building a hunger-free network, there are locations across Taiwan that gather donations from wholesalers, intermediaries, retailers, manufacturers, and even generous individuals These sites also rescue food that would otherwise be discarded, properly allocate and distribute it to needy households, thus aiding local vulnerable families55Food banks at various locations collect daily donations from wholesale stores, intermediaries, retailers, manufacturers, and even benevolent individuals from all over Taiwan These places also rescue about-to-be-discarded edible materials, properly sort them, and distribute to needy households, assisting local vulnerable populations However, each location requires significant human and volunteer resources to manage daily operations using traditional methods of communication with non-profit organizations and donors After receiving donations, these resources are then allocated to needy families or individuals There is a potential issue of uneven distribution of resources due to a lack of digitalization and integrated information management in these processes Warehouse and Transportation Centers and Mini Food Banks Distributing Resources to the Disadvantaged The location under validation by the Kaohsiung Charitable Organizations Association,Hereinafter referred to as 'Kaohsiung Charity' In109year6month24Officially inaugurated Taiwan's first 'Food Bank-Warehouse and Transportation Center' at a location measuring200square meters, enhancing the efficiency of food resource redistribution, proper storage, and management So far, nearly two hundred tons of vegetables and fruits have been saved, serving over a hundred organizations and benefiting over5thousand vulnerable households, and continues to serve19mini food banks, with planned completion across multiple districts in Kaohsiung, distributing food resources to over10ten thousand vulnerable families Kaohsiung Charity 'Food Bank-Warehouse and Transportation Center' in the Dasha Community Photo Source Kaohsiung Charitable Organizations Association Challenges in Labor and Food Resource Management Facing the needs of a large number of economically disadvantaged families, the management of the 'Food Bank-Warehouse and Transportation Center' is particularly critical During procurement, tasks such as sorting, purging, and bookkeeping must be performed, while during shipment, food resource needs suggested by social workers must be followed These activities rely on manual judgment and accumulated experience Many volunteers involved are elderly and have limited physical strength, making warehouse tasks physically demanding and recruitment challenging If a large batch of food resources arrives, space and manpower are consumed in sorting and inventory management, raising concerns about the effective use of resources and turnover rate This highlights the challenge of scaling up food bank services while lacking corresponding labor and material management systems At the same time, food bank resources come from various donations, thus they vary greatly in type, shelf life, standards, and quantity Volunteers at mini food banks, mostly also elderly, must handle multiple responsibilities such as case services, food resource management,resource allocation, and resource development Sometimes they must also explain and accept immediate, large quantities of specific resources, such as adults receiving baby formula 'Food Bank-Warehouse and Transportation Center' Resource Inventory Relies Entirely on Manual Labor Mini Food Bank Volunteers Handle Multiple Responsibilities Photo Source Taiwan Food Bank Association Reducing Scrap Resources60 Increasing Speed of Resource Transfer80 To enhance resource management and ensure effective use of materials, and to address personnel shortages, this field validation case has introduced 'Food Bank Warehouse Resource CollectionAITo advance resource management, ensure effective use of resources, and solve manpower shortages, this validation site has implemented an 'Automated Early Warning Needs Assessment System' for the food bank's warehouse resource gathering The first part involves building a classification model, setting up and collecting warehouse information at the site, andAItraining the model Past sitewarehouse information is collected and stored in a database, allowingAIfor preprocessing, classification, and other tasks At the same time, depending on the dependency conditions of the types of goods as features, algorithms are introduced for computation and modeling, and the data collected is used for retraining, ultimately validating the field and organizing data for the five most common types of goods into training and test datasets as required The second part involves constructing the classification model using AI techniques further use of reinforcement learning constructs the management mechanism for the food bank's warehouse, perfecting the classification of donated goodsRNNTechnical construction of classification models further use of reinforcement learning constructs food bank warehouse management mechanisms, making the classification of donated goods perfectlike white rice, instant drinks, noodles, instant noodles, and canned goodscan then be automatically assigned storage based on storage assignment principles AI Service System Process and Description Source Taiwan Food Bank Association AtAIUnder forecasts, it can optimize the speed of resource transfer and allocation, effectively and accurately match resource donations reducing the loss in the donation process, increase the accuracy of resource distribution, and improve the service rate—the successful donation rate—reducing the waste of resources due to incorrect items, and enabling instant monitoring of food resource stock, ensuring operators can respond quickly to needs, effectively providing resource assistance WithAIthe system's introduction and the establishment of data intelligence, it helps the operations of the warehouse and transportation center, allowing more time for the allocation of donated goods The introduction aims to accelerate the digital service rollout for social welfare organizations, thoroughly addressing the needs of the overall vulnerable segments of society Using the system for resource allocation and dispatching Photo Source Kaohsiung Charitable Organizations Association Following this field validation, it is possible to expand the system to other food bank service pointsAIThe system can also collaborate with more non-profit organizations, public welfare groups, and charitable organizations, expanding 'Food Bank Warehouse Resource CollectionAIAutomated Early Warning Demand Assessment System' application range such as medical supply distribution, helping more organizations manage and distribute more intelligently, reducing resource wastage, and enhancing social welfare 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-12-12」