ad-dice provides AI solutions in various fields such as health, medicine, and industry with its predictive control* 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.
*In Japan, this product is registered as a trademark.
1. Application Guidelines
(1) Target Industries
Buses, taxis, trucks, airplanes, ships, and other transportation-related industries, warehousing, and other sectors that require measures to prevent employee drowsiness.　
*Other types of businesses are also welcome to inquire. Please contact us by filling out the application form.
(2) Application Deadline
Must arrive by 23:59, Friday, December 20, 2024 (JST]
(3) Trial Period
Up to 60 days from the first day of use (negotiable)
Final date of use is Friday, January 31, 2025
(4) Cost
In principle, free of charge (subject to consultation based on the customer’s situation)
*Please note that certain communication and other costs may be borne by the customer.
*Each person will need a smartphone to link smartwatch data to ResQ AI.
*A PC and a browser are required to access and use ResQ AI.
(5)How to apply
Please apply using the form.　
https://forms.gle/K7agxy5JXSzwHk7WA
*ad-dice will arrange a meeting after receiving the application.
2. Trial Flow
(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.
3. Introduction of Prior Case Studies
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-dices health monitoring AI ResQ AI.
https://prtimes.jp/main/html/rd/p/000000026.000056652.html
4. Development Background
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 Three Mile Island nuclear power plant accident (1979) 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. 6302954), 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.
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