#Japan #Fukuoka #BeeInventor #DasSenseH #AI Heat Stroke

Introduction to BeeInventor's Initiative

In a significant step forward for workplace safety, BeeInventor Co., Ltd., based in the heart of Fukuoka City, has launched a demonstration project for its AI heat stroke prediction system, DasSenseH. Beginning in July 2026 and lasting until October, this initiative aims to validate the effectiveness of real-time notifications and heat stroke risk detection for workers on construction sites.

The project involves monitoring the health status of four workers at a time, utilizing advanced AI technology to detect early signs of heat stroke before symptoms progress severely.

The Rising Risk of Heat Stroke in Construction

According to Japan's Meteorological Agency, the annual average temperature in Japan has been on the rise, with a significant deviation of +1.48°C recorded in 2024—the highest on record. This increase in temperature has led to a rise in heat stroke-related workplace incidents, with over 1,257 cases resulting in more than four days of work stoppage reported that year, marking a record high since tracking began. A staggering 40% of these incidents occurred in the construction and manufacturing sectors, highlighting an urgent need for effective preventive measures.

Monitoring workers’ health in real-time on job sites has traditionally been challenging. By the time signs of illness are noticed, the condition may have already worsened. A project supervisor expressed, “In the past, we relied on verbal communication. There’s often a culture of enduring discomfort on the site, and getting rid of that reliance on tolerating discomfort would be a positive change.”

BeeInventor aims to tackle this challenge through the power of AI and IoT, moving towards a new paradigm in safety management that no longer depends on endurance or experience.

Details of the Demonstration Project with Fukuoka City

The demonstration will involve obtaining data from workers equipped with DasSenseH devices at construction sites throughout Fukuoka City. The AI system will analyze critical metrics such as body temperature, WBGT (wet bulb globe temperature), and task intensity to assess risks comprehensively.

The insights generated from this analysis will be visualized in real-time on a cloud platform, enabling quick notifications to managers via email or applications like Microsoft Teams if the risk of heat stroke rises.

Understanding the AI Heat Stroke Prediction System 'DasSenseH'

DasSenseH is not only designed for construction sites but is also suitable for a wide range of outdoor and high-temperature environments such as roadwork, security, logistics, manufacturing, equipment maintenance, and event operations. Rental companies dealing with construction machinery and safety equipment can utilize this system as a seasonal solution for heat stroke management, enhancing their service offerings to existing customers without requiring major changes to their current helmet designs.

The system leverages sensors that can be retrofitted to existing helmets, facilitating implementation without necessitating extensive alterations. The data from these sensors will be processed using AI to predict heat stroke risk by considering individuals’ internal body temperatures, WBGT readings, age, gender, task intensity, and more, leading to customized alerts rather than blanket warnings.

Key Features of DasSenseH

1. Predictive AI Algorithm
Unlike traditional methods that rely on basic thresholds (e.g., “If WBGT exceeds X degrees, take precautions”), DasSenseH calculates risks 30 to 60 minutes in advance based on the immediate condition of each worker and environmental factors, thereby identifying dangers before symptoms emerge.

2. Real-Time Notifications
The AI detects high risks of heat stroke and sends instant alerts via email and Microsoft Teams to supervisors, detailing which workers may be affected and the level of risk. This proactive response eliminates wait times for self-reporting health issues and enhances safety through data-driven decision-making.

3. Centralized Cloud Management
By integrating with the cloud platform DasIoT, managers can monitor multiple sites and workers from a single interface, offering a comprehensive view of temperature trends, risk levels, WBGT readings, and location data. Such centralized management streamlines safety oversight and enables quick response to any anomalies.

As a product of collaboration with The Hong Kong Polytechnic University, the algorithm undergoes continuous improvement through accumulated real-world data, enhancing prediction accuracy tailored to the unique demands of different job sites.

About BeeInventor

BeeInventor is an innovative startup dedicated to driving safety management digital transformation in the construction and infrastructure sectors using AI, IoT, and wearable technology. Their mission, “Transforming Safety on Site with Technology,” is evident in their offerings that address issues like heat stroke prevention, remote oversight, and machinery collision avoidance.

Future Outlook from CEO Harry Chan

“DasSenseH is the world's first heat stroke mitigation solution that combines AI, personal physiological data, and WBGT measurements. Unlike conventional methods that react to rising risks, we aim to capture 'early warning signs' to prevent incidents proactively. Through this demonstration in collaboration with Fukuoka City, we hope to enhance prediction accuracy on construction sites, expanding our solutions for not just construction but also logistics, manufacturing, public infrastructure maintenance, and everywhere outdoor workers operate.”

Contact for Inquiries

For any inquiries regarding products, demonstrations, or potential collaborations, please reach out at:
Email: [email protected]
Website: BeeInventor