ad-dice, Co., Ltd. (CEO: Daisuke Ito / Head office: Taito City, Tokyo) announced that on Tuesday, October 8, 2024, it would invite companies to participate in a trial of  the new “Drowsiness Score” to be implemented in its healthcare AI, ResQ* AI.

ad-dice provides AI solutions in various fields such as health, medicine, and industry with its predictive control（予兆制御）*  technology based on its proprietary AI platform technology “SoLoMoN* Technology” . With the implementation of the “Drowsiness Score”, ad-dice aims to  support field worker health monitoring and promote safe and secure operational management.

*"ResQ", "predictive control (予兆制御)" and "SoLoMoN" are registered trademarks in Japan.

(1) Crew members and other employees are asked to wear a smartwatch.

(2) Vital data such as heart rate and respiratory rate are sent to ResQ AI via smartphone.

(3) ResQ AI analyzes the physical and mental state of the employee and presents the current and predicted values of the “Drowsiness Score”.

Please try the “Drowsiness Score” and consider its application according to your company's specific needs.

ResQ AI “Drowsiness Score” Trial Flow

(1)Wear the smartwatch

(2)Transmit vital data

(3)Display the “Drowsiness Score”

*The screen is an image in development.

In developing the “Drowsiness Score,” ad-dice is conducting a demonstration experiment with a major sightseeing bus company and a non-life insurance company to prevent drivers from falling asleep at the wheel by monitoring their drowsiness. For more details, please see the following:

February 29, 2024 Press Release

“AI Prevents Traffic Accidents Caused by Drowsy Driving by Drivers and Crew Members"

Bus company, non-life insurance company, and AI platform developer start demonstration experiment to build a new AI to predict drowsiness with ad-dice’s health monitoring AI “ResQ AI”. 

https://prtimes.jp/main/html/rd/p/000000026.000056652.html

In Japan, the so-called “2024 problem” of capping driver working hours, combined with labor shortages and an aging workforce, is a major management challenge for the transportation and forwarding industry.

In the United States, the 1979 Three Mile Island nuclear power plant accident is recognized as a serious accident caused by human error. In a court case following the accident, it was pointed out that the employees in charge of operating the nuclear reactor were fatigued and their drowsiness led to operational errors.

Similarly, the Space Shuttle Challenger explosion (1986) and the Chernobyl nuclear power plant accident (1986) are also known to have resulted from sleep deprivation and fatigue among the employees involved in the operations.

At workplaces where fatigue can lead to serious accidents, it is extremely important to proactively identify employee drowsiness and fatigue and implement countermeasures.

Based on its proprietary AI platform technology “SoLoMoN Technology” (Patent No. JP6302954), ad-dice provides AI solutions that capture and score “signs” of risk using various IoT data sources.

The new “Drowsiness Score” uses AI analysis of mental and physical fatigue based on vital data to score predictive signs of drowsiness. When the score rises, an alert is issued to notify both drivers and fleet managers.

Unlike conventional health management solutions that issue warnings only when actual data (e.g., vital signs) exceed a set threshold, ResQ AI distinguishes itself by using AI to score predicted risk and issue warnings when the score exceeds the set threshold.

By alerting drivers and crews to signs of drowsiness, ResQ AI helps ensure safe and secure transport, reducing the risk of drowsiness-related incidents that could lead to serious accidents.

For more information about ad-dice's AI solutions, please send your inquiries to

https://sites.google.com/ad-dice.com/behavioral-health-ai/contact 

For more information about ad-dice's AI solutions, please send your inquiries to

https://sites.google.com/ad-dice.com/behavioral-health-ai/contact 

＜Reference＞ 

Developed Under the Supervision of Doctors 

ResQ AI has been developed together with medical professionals affiliated with universities such as the University of Tokyo, the National Hospital Organization, and others. Health management using wearable IoT has been developed under the supervision of Dr. Yasunori Ohta of the Institute of Medical Science, the University of Tokyo. 

About “SoLoMoN* Technology,” the AI platform technology

ad-dice's proprietary AI platform technology, “SoLoMoN Technology (Patent No.JP6302954,)” is an AI-based autonomous environmental management technology. AI learns to evaluate and intervene in “environment + habits = lifestyle” based on experts' intuition and experience, enabling predictive control. ad-dice will continue to take on the challenge of solving various social issues with SoLoMoN Technology.

*In Japan, this product is registered as a patent (Patent No. JP6302954), Management System and Management Method.

＜Company Profile＞

ad-dice Co., Ltd.

Representative: Daisuke Ito, CEO and Representative Director

Address: Head Office: IT Akihabara Building 1F, 5-4-2 Ueno, Taito-ku, Tokyo 110-0005, Japan

　　　      SoLoMoN Labo: 3F MK Building, 6-3-6 Sotokanda, Chiyoda-ku, Tokyo 101-0021, Japan

Establishment: 2005 

Business: Provision of business management services using artificial intelligence and consulting to support implementation

For more information about ad-dice's AI solutions, please send your inquiries to

https://sites.google.com/ad-dice.com/behavioral-health-ai/contact