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【2020 Solutions】 Rui Ai Biotech Pioneers Global Home-based Smart Occult Blood Testing for Early Colorectal Cancer Detection

On average, one person is diagnosed with colorectal cancer every 37 minutes, making it the most prevalent type of cancer in the country for many years. In its early stages, the disease is almost asymptomatic, and if there is lower gastrointestinal bleeding, it often goes unnoticed when mixed with feces. Patients without regular screening habits can easily miss the optimal treatment window. Unlike the existing iFOBT stool tests, Rui Ai Biotech has developed the world's first home-use 'Hemoglobin Sensor' (referred to as 'Blood Gun'), which can detect blood in the toilet bowl after defecation. This helps users to interpret risks that are invisible to the naked eye, aiming not just to facilitate home health management, but also to improve the screening willingness and initiative of potential patients.

Patent King's Startup, Home-use Blood Gun Wins National Innovation Award

The current hospital-based fecal occult blood test requires individuals to collect stool samples and go to the hospital for biochemical analysis. This process lacks convenience and immediacy, reducing the public's willingness to undergo testing. When the blood in a patient's stool solution is visible to the naked eye, it often indicates that the disease has progressed to stage II or III.

In light of this, the innovative research team from Hsinchu, Rui Ai Biotech, founded in 2017 by Dr. Yan Shuo-Ting, a renowned 'Patent King' from Foxconn group, identified a gap in the current needs for occult blood testing. Utilizing his expertise in semiconductor optics and proprietary algorithms, he led the team to develop the 'Hemoglobin Sensor' for home use, which not only attracted angel investments from the US but also garnered numerous patents and the 16th National Innovation Award in 2019, winning countless accolades nationally and internationally.

Photometric Occult Blood Sensing Technology: A 10-second Test After Toilet Use

The Hemoglobin Sensor is easy to use. Employing optical sensing technology, users simply follow five steps after defecation to effectively detect early signs and initiate early treatment.

● Step One: After defecation, allow the feces to settle in the water for five minutes, then attach the specialized filter paper to the front probe of the sensor

● Step Two: Press and hold the power button for three seconds to turn on the device

● Step Three: Briefly press the sensing button to begin measurement, immerse the front probe in water for about 10-15 seconds

● Step Four: After viewing the results displayed on the screen, push the filter paper into the water (the paper is biodegradable) and flush confidently

● Step Five: Rinse the probe with clean water for 3-5 seconds and wipe with a tissue, place it back on the charging stand

Blood Gun Usage Method (Image Source: Rui Ai Biotech)

▲ Blood Gun Usage Method (Image Source: Rui Ai Biotech)

Optics Combined with AI Improves Accuracy, Creating a Staple Home Product

The main challenge in home-based occult blood testing is eliminating noise, identifying hemoglobin signals, and analyzing them. There are currently home-based hemoglobin test papers available; however, due to the difficulty in avoiding impurities at home which affects accuracy, and the relatively high cost of consumables, it has not yet become widespread in the market. The photometric 'Hemoglobin Sensor' breaches these technological barriers, with its internal optical components utilizing a highly sensitive CMOS image sensor (CIS), combined with an optical module minimized to the smallest possible size. The proprietary algorithm analyzes and effectively avoids noise interference, accurately determining the results as negative (no occult blood) or positive (occult blood present).

Blood Gun Spectral Sensing Technology Diagram (Image Source: Rui Ai Biotech)

▲ Blood Gun Spectral Sensing Technology Diagram (Image Source: Rui Ai Biotech)

The handheld 'Hemoglobin Sensor' has been crowdfunding on the platform ZecZec since February this year, reaching its target of one million New Taiwan dollars by the end of March. It is also available for purchase on PChome Store Street (https://www.pcstore.com.tw/redeye/). Rui Ai Biotech hopes to make the Hemoglobin Sensor a household essential for testing, and is also committed to promoting the extended application of this patented technology, such as integrating it into smart toilets. The product has already attracted attention from several domestic and international bathroom and health testing equipment manufacturers, presenting considerable potential business opportunities and marketability.

Rui Ai Biotech Team, fourth from the left is CEO Dr. Yan Shuo-Ting (Image Source: Rui Ai Biotech Facebook)

▲ Rui Ai Biotech Team, fourth from the left is CEO Dr. Yan Shuo-Ting (Image Source: Rui Ai Biotech Facebook)

Rui Ai Biotech Blood Gun Introduction (Image Source: Rui Ai Biotech)

▲ Rui Ai Biotech Blood Gun Introduction (Image Source: Rui Ai Biotech)

(This article is published with permission from Rui Ai Biotech on AI HUB)

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

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【解決方案】2秒鐘完成結帳動作 Viscovery AI影像辨識助攻智慧零售
Complete checkout in 1 second, Viscovery AI image recognition assists smart retail

Artificial intelligence AI has gradually changed the way various industries operate in recent years However, most of the work is still done by humans, with AI playing a supporting role This has led to emergence of the term "AI Copilot," which stands for "AI-driven tools or assistants" that aim to assist users in completing various tasks and improve productivity and efficiency The concept of AI Copilot comes from the role of "co-pilot" During flight, the co-pilot assists the main pilot in completing various tasks to ensure flight safety and efficiency In fact, there have been signs of various "machines" beginning to play the role of "copilot" in different fields since the Industrial Revolution, assisting humans in completing heavy physical and repetitive tasks, greatly improving factory production efficiency, and driving rapid economic development Following the advancement of computing equipment and breakthroughs in machine learning, deep learning, and image recognition technologies, 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checkout process The store clerk needs to scan the product barcodes one by one in the regular checkout method If a product does not have a barcode, such as bread and meals, the clerk needs to first visually confirm the items, and then input them into the POS checkout system one by one Based on actual measurements at a chain bakery, it takes 22 seconds for an experienced clerk from "visual recognition" to "entering product information of a plate of 6 items into the checkout system" New clerks may need even more time In addition, according to a Japanese bakery operator, it takes 1 to 2 months to train employees to become familiar with products Now with AI image recognition technology, store clerks let AI handle the "product recognition" step, and AI will play the role of copilot, quickly identifying items within 1 second, speeding up checkout to save 50 of checkout time, and optimizing customers'shopping experience The time cost of training employees to identify bread can also be effectively shortened Even for products with barcodes, AI can quickly identify multiple items in one second, which is more efficient than scanning barcodes one by one The self-checkout system "assisted" by AI image recognition allows consumers to successfully complete shopping without the help of store clerks, eliminating the trouble of swiping barcodes or searching for items on the screen, which improves the shopping experience In a time when store clerks are hard to hire due to labor shortage, this also helps stores reduce operating costs AI quickly identifies multiple checkout items in just one second Source of image Viscovery Recently, startups dedicated to developing AI image recognition checkout solutions have emerged in various countries The most lightweight solution currently known is in Taiwan It can be immediately used by installing a Viscovery lens and a tablet installed with Viscovery AI image recognition software at the checkout counter to connect to the store's existing POS checkout system There are various integration methods, including plug-and-play and API solutions integrated with the store's POS system Viscovery AI image recognition system can be painlessly integrated with the store's existing POS system Source of image Viscovery Example of AI image recognition checkout Currently, the Viscovery AI image recognition system is being used in bakery chains in Taiwan, Chinese noodle shops in Singapore, micromarkets in department stores in Sendai, Japan, and Japanese bakeries and cake shops Over 7 million transactions were completed through this AI system, which identified more than 40 million items These use cases demonstrate the extensive application of the Viscovery AI image recognition system in the retail industry In the future, the company will continue to explore the various possibilities of using Vision AI in retail and catering nbsp The Viscovery AI image recognition system is already being used in bakeries, cake shops, restaurants, and convenience stores in Japan, Singapore, and Taiwan Source of image Viscovery