CS Communication Co., Ltd.
Edge AI x skeleton detection system notifies nursing care/construction site risks in 0.2 seconds
Announcement of privacy-friendly risk management service
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CS Communication Co., Ltd. announced on August 1st the Edge AI Danger Detection Service, which combines Edge AI and skeletal detection technology to detect and notify falls and dangers in nursing care facilities, factory sites, etc. in as little as 0.2 seconds. Did. Conventional nursing care monitoring and construction site danger detection services required monitors to check images in real time, which led to problems with manpower shortages and oversights. In recent years, various technologies have led to the emergence of monitoring/danger detection services that do not require human supervision, but since video data remains in the cloud, privacy infringement issues have sometimes been pointed out.
“Edge AI/Danger Detection Service” can detect falls and danger in real time without human supervision, and by adopting Edge AI, it can detect falls and danger without uploading video data to a cloud server. / Since it detects and notifies only information about dangers that are likely to occur, the privacy of the people captured in the video can be protected. Furthermore, since you can use commercially available cameras that are already installed, it can be introduced at low cost. We will continue to utilize technologies such as edge AI to develop businesses that promote DX conversion and AI introduction in many workplaces.
[Image 1: https://prtimes.jp/i/106014/13/resize/d106014-13-2681125ec4098e8a7110-0.jpg&s3=106014-13-198fbecddea5371fcec004edcb5f2b1f-914×514.jpg] The shortest time is 0.2 seconds. Edge AI x Skeletal Detection System Notifies Risks at Nursing Care/Construction Sites CS Communication Co., Ltd. (hereinafter referred to as CS Communication) combines Edge AI and skeletal detection technology to prevent falls and dangers at nursing care facilities, factory sites, etc. in the shortest possible time. On August 5th, we announced an “edge AI/danger detection service” that detects and notifies you in 0.2 seconds (*1). Nursing care monitoring and construction site danger detection services are checked in real time by supervisors, which can lead to staff shortages and oversights. Services that use the latest sensors still have issues such as privacy violations as video data remains in the cloud. The “Edge AI/Danger Detection Service” announced this time is designed by combining edge technology that performs AI processing in an environment close to the device without storing video data on a cloud server, and skeleton detection technology using AI. Therefore, it is possible to detect and notify only information regarding danger, thereby protecting the privacy of the person in the photo. By using this service, it is possible to detect and notify falls and dangers in nursing care, factories, construction sites, etc. in real time, without human intervention, while protecting privacy, and to provide quick follow-up, thereby preventing not only primary damage but also secondary damage. This will help prevent future damage. *1: The time required may vary depending on the environment. It is said that more than half of all accidents at nursing care facilities, which currently have monitoring/danger detection services due to lack of staff, oversight, and privacy issues, are due to slips and falls.
Additionally, approximately 40% of fatal accidents that occur in the construction industry are due to falls (Ministry of Health, Labor and Welfare press release “Announcement of Occupational Accident Occurrence in 2021”). Falls at nursing care facilities and
construction sites not only cause primary damage, but also secondary damage due to delays in detection, which can lead to people losing their lives, so preventive measures are essential. On the other hand, it is difficult for people at each site to keep an eye on every corner to prevent these incidents. Some sites have taken measures to prevent danger by using pressure sensing and infrared bed exit sensors, but it is difficult to completely detect falls and danger, and it is costly. Additionally, at many sites, surveillance cameras have been installed and surveillance personnel have been able to check the footage in real time in a surveillance room, but this has led to issues such as lack of manpower and oversights. In recent years, in order to solve these issues, monitoring/danger detection services that do not require real-time human monitoring have been introduced using various technologies such as sensors, but since video data remains in the cloud, there is the issue of privacy violation. may be pointed out. Additionally, there are many sites where it is difficult to introduce it due to installation/operation cost issues. As described above, monitoring/danger detection services at many sites such as nursing care facilities and construction sites still face issues such as lack of manpower, oversight, privacy, and implementation/operation costs. Adoption of Edge AI reduces risks at all nursing care and factory sites The “Edge AI/Danger Detection Service” announced by CS Communication this time uses a combination of AI-based skeleton detection technology and Edge AI technology. . AI-based skeletal detection technology detects and identifies falls, falls, and dangerous behavior in as little as 0.2 seconds, and notifies you, allowing for prompt rescue, risk prevention, and response. The feature of this service is that by utilizing edge AI technology, it can solve the problems of existing monitoring/danger detection services, such as “immediate response,” “privacy protection,” and “low-cost introduction and operation.” “Edge AI” is a technology that processes data on a local network and sends only the necessary data to the cloud. It instructs devices such as cameras and tablets on what data to use and how to judge it, and processes the data on the device. As a result, only the necessary data is sent to the cloud, making it possible to process data at high speed with less load, which also leads to cost reductions.
[Image 2: https://prtimes.jp/i/106014/13/resize/d106014-13-776051c4becd56bf56a7-1.png&s3=106014-13-04405b2c966c532149d63fabe452e1ec-2318×1306.png ]
“Edge AI/Danger Detection Service” performs AI processing on the camera terminal (device) and uploads only skeleton detection information to the cloud. With this system, it is possible to take preventive measures while protecting the privacy of the person captured in the video. It is also possible to set up only the images before and after the accident to be saved on the cloud server. By looking back at the circumstances before and after the accident, it can be effectively used as evidence when elucidating the cause and reporting. Furthermore, edge AI can issue AI processing instructions to general camera terminals, making it possible to equip existing cameras with monitoring/danger detection functions. Significantly reduces costs compared to traditional AI cameras. “Edge AI/Danger Detection Service” can also be used to solve problems related to falls at factories and construction sites and nursing care at home.The “Edge AI/Danger Detection Service” can be used not only in nursing care facilities and construction sites, but also in factories where handling and moving machinery can be dangerous. It can be used at many sites where there is a possibility of secondary damage due to It can also be useful for crime prevention by detecting and reporting people entering prohibited areas. We also believe that this edge AI-based skeletal detection can be used not only in nursing care facilities, but also in home caregiving and family monitoring. In the future, we plan to accumulate data and know-how through the provision of services, analyze that data, and continue developing ways to predict and prevent falls. As CS Communication continues to seek solutions to Japan’s labor shortage issues, we will promote the implementation of AI in the field so that it can be used in daily life and work, rather than leaving it as the exclusive domain of some research and development institutions or large companies. We will continue our business. [What is CS Communication Co., Ltd.] With a focus on IT and networks that support society, based on the trust we have built over more than 20 years based on the tenets of “technical strength,” “honesty,” and “aspirations,” we offer AI, IoT, and cloud services. We are a system integrator company that is widely involved in DX. We undertake all phases of IT infrastructure, from requirement definition and design construction to on-site deployment and operation and maintenance. In addition, we are treating “edge computing” as a new business to spread advanced technologies such as AI to society. ●Company name: CS Communication Co., Ltd. ●Head office: Tokyo head office 8F Akihabara First Square, 2-3-3 Nihonbashi Bakurocho, Chuo-ku, Tokyo 103-0002 Osaka head office 7-1-8 Nishinakajima, Yodogawa-ku, Osaka-shi, Osaka 532-0011 WIN Building 8F●Representative:
Representative Director Ryosuke Kusa●Founded: August 1998●Established: January 2000●Business description: Planning, design, development, maintenance, and consulting for computer network systems and communication systems, electricians Business●Company website: https://www.cs-com.co.jp/