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【2020 Application Example】 AI Implementation in Construction Industry Reduces Workplace Accidents: Safety Visibility Enhanced

The construction industry is Taiwan's leading industry, supporting the architecture, decoration, and repair sectors. However, the high incidence of occupational accidents in this sector is a major concern for both employers and workers. The introduction of AI for equipment recognition in the construction industry reassures companies and protects workers, creating a win-win situation.

According to the Ministry of Labor's 2017 statistics on occupational injuries, the average rate of occupational injuries per thousand workers across various industries is 2.773. However, the construction industry tops the list with a rate of 10.036, which is 3.6 times the average and categorizes it as a high-risk group for occupational injuries. Proactive early warning measures can significantly reduce the rate of workplace accidents.

In light of this, the Institute for Information Industry, under the mandate of the Ministry of Economic Affairs' Industrial Development Bureau, has initiated an AI project that prioritizes the implementation of AI technology in the construction industry. Selecting well-known construction firms in Taiwan, the project applies Canon's safety helmet proper wearing recognition solution to reduce occupational accident rates.

Smart Recognition of Safety Helmet Wearing: A Solution for Employers

Senior executives in the construction industry emphasize that compared to other industries, construction workers face higher health and safety risks primarily at construction sites. Many risks arise from the workers not properly wearing or using personal protective equipment, such as safety helmets. Relying solely on human supervision for ensuring safety gear compliance is time-consuming and often ineffective. Implementing AI technology for smart monitoring on construction sites can save corporate resources while ensuring worker safety, achieving dual benefits.

Indeed, to protect workers during operations, construction plants require workers to properly wear safety helmets. Wearing a helmet does not imply it is worn correctly. To prevent the helmet from falling off during operations, it is necessary to securely fasten the chin strap directly under the chin after putting on the helmet.

Proper Wearing Method for Construction Site Safety Helmets

▲工地用安全帽正確佩戴方法

At construction sites, many foreign workers often do not follow proper safety protocols, such as not wearing safety helmets correctly. If supervisory personnel were to be assigned, it would entail excessive use of human resources. With the assistance of the information strategy team, major construction companies have adopted Canon's image recognition technology.

To determine the optimal placement of image recognition cameras, both teams first conduct site surveys and collect various types of safety helmets used on-site. Subsequently, standard cameras are installed at entry points of construction sites and work zones to capture footage of the site personnel. This footage helps Canon develop models for correctly and incorrectly worn helmets, aiding the image recognition software in its learning phase. Canon's engineers regularly visit the site to retrieve footage, and once the image recognition software achieves a certain accuracy level, the image recognition cameras are then installed at the construction site.

Canon Construction Site Safety Helmet Data Collection Camera Setup

▲佳能工地安全帽資料搜集攝影機設置

Improving Recognition Accuracy for Concrete Implementation of Workplace Safety

Currently, no local technology can accurately recognize the proper wearing of safety helmets. Therefore, Canon has developed and trained its own recognition software. The complex environment at the actual installation sites can impact the effectiveness of recognition.

In the future, machine learning will significantly enhance the overall recognition accuracy, ensuring that safety measures involving the wearing of safety helmets are concretely implemented.

While AI recognition technology is introduced in the construction industry's safety domain, it can also be integrated with mobile devices for early warning. In practice, once a camera captures recognition data and processes it, the results can be pushed immediately to specific individuals such as safety managers on their mobile phones, tablets, or even linked to access control systems. If a worker is detected without a properly worn safety helmet, relevant personnel can be alerted promptly. Access can be denied until the worker correctly wears the safety helmet, offering considerable potential for future applications.

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

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AI Can Make Coffee! Autonomous Coffee Roasters Relying on AI for Precise Location Setting and Cultivating Loyal Customers

Have you had your morning coffee yet Over the past decade, Taiwan has gradually formed a coffee drinking culture With the advancement of AI technology, autonomous coffee roasters can now rely on AI for precise location setting while also cultivating a loyal customer base Let's see how this is done According to the International Coffee Organization ICO, Taiwanese consume approximately 285 billion cups of coffee annually, with the coffee market in Taiwan estimated at 80 billion TWD, growing about 20 each year In recent years, the 'drinking coffee' culture in Taiwan has become synonymous with popularity, with coffee being the most frequently chosen daily beverage by 65 of the population Coffee enthusiasts, particularly the more avid ones, are willing to pay more for coffee beans that suit their tastes An increasing number of unmanned drink kiosks have also begun to appear in the Taiwanese beverage market Unmanned coffee beverage shops face difficulties in expanding quickly, primarily due 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【導入案例】化身大型AIOT科技遊樂場 海科館華麗轉身好吸睛
Transforming into a Large-Scale AIoT Technology Playground: The Spectacular Makeover of the National Museum of Marine Science & Technology

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APP X1, allowing visitors to participate in challenges Subsequently, bird species within the bird exhibition were brought to life interactively using X1, and AR scenarios X1 were introduced into the exhibition space to add elements of fun and entertainment Finally, Face AI was used to interactively test facial expressions and score smiles The gorgeously transformed Marine Museum will become the best travel destination for families with children ImageMarine Museum FB Page The AIoT services introduced by the Marine Museum could be extended to various exhibition-type museums and even static art galleries in the future, tailored to the unique characteristics of different venues They could also be promoted through government projects and related plans, aiding in rural revitalization, making visits more than just sightseeing in rural areas, and breaking free from stereotypes associated with different venues The applications of these services are broad「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

這是一張圖片。 This is a picture.
Realizing the dream of unmanned stores, Magpie Life is building the future of the smartphone industry

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activities, etc, it is easy to cause out-of-stock or over-inventory situations Magpie Life has specially developed "AI sales forecasting technology" and integrated it into the back-end management system, hoping to lock in customer purchasing preferences and intentions through data analysis In order to achieve the purpose of precise marketing, make accurate business decisions and effectively allocate limited resources The introduction of AI systems can achieve the three major goals of precise marketing, inventory management and supply chain management This system is a replenishment decision-making aid designed specifically for supply chain managers It uses AI to predict future sales demand, helping companies effectively optimize production capacity, inventory and distribution strategies Its overall system architecture includes1 Data exploratory analysis function Provides automatic value filling, automatic coding and automatic feature screening functions for missing values in the data 2 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optimize the operational value chain and improve efficiency, and strengthen the core competitiveness of enterprises 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」