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【2020 Solutions】 Shield Heart Technology Creates a Secure Environment Using AI + Security

Shield Heart Technology is one of the few companies globally that possesses both computer vision and machine learning capabilities. After two rounds of funding, it successfully raised $9.8 million and now focuses on the security market, serving long-term paid corporate clients in over 30 countries.

The traditional use of security systems is being revolutionized!

With the integration of artificial intelligence in security systems, community guards can monitor cameras deployed throughout the community via smartphones. Upon receiving alert SMS from the surveillance cameras notifying about suspicious activities in underground parking lots or residents fainting suddenly, real-time video footage enables guards to immediately notify ambulances for assistance.

Event Notification Mode Diagram

▲Event Notification Mode Diagram

This intelligent security system capable of precisely identifying various types of emergency safety incidents is powered by an image recognition software platform, using new technologies from the branches of artificial intelligence—computer vision and machine learning.

AI+ Security System Applied to Multiple Devices

▲AI+ Security System Applied to Multiple Devices

AI+ Security Significantly Reduces False Alarms

Traditionally, building surveillance involved continuous recording by cameras, with personnel monitoring the footage to detect dangers. However, due to human limitations, sometimes lapses in attention could lead to delayed detection of intruders, with incidents only compensated for by post-event video tracking—lacking preventive effects. Additionally, camera recordings, triggered by animals passing by, often lead to false alarms, exhausting personnel in verifying these incidents.

Shield Heart Technology's system uses user behavior as the basis for recognition, employing computer vision recognition and machine learning techniques. By understanding the patterns of users entering restricted environments, the AI learns to identify and alert dangerous situations without false alarms caused by animals or other miscues, achieving a zero false alarm rate.

Umbo Light Recognizes Users

▲Umbo Light Recognizes Users

'AiCameras', 'TruePlatform' cloud management platform, and 'Light A.I. Image Artificial Intelligence' are three products that make up the Umbo CV series of security services. The front end is the AiCameras, and the backend is the TruePlatform management platform, which manages the latest content from cameras on all devices and makes real-time adjustments. Light A.I. serves as the 'brain' that bestows artificial intelligence capabilities on the products, creating an extraordinary AI+ security system.

Dong-Yan Chen, the business development manager at Shield Heart Technology, states that there are currently 300 million surveillance cameras worldwide, with less than 1% incorporating artificial intelligence. In Taiwan, campus safety concerns for primary and secondary school students have become a major focus for parents and the public, making it the best and largest market for AI+ security.

「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