Stay dry, stay safe: UnaBiz’s new tech prevents washroom falls with edge computing

Stay dry, stay safe: UnaBiz's new tech prevents washroom falls with edge computing

Stay dry, stay safe: UnaBiz’s new tech prevents washroom falls with edge computing As a tech journalist, Zul focuses on topics including cloud computing, cybersecurity, and disruptive technology in the enterprise industry. He has expertise in moderating webinars and presenting content on video, in addition to having a background in networking technology.

UnaBiz, a leader in IoT services and integration, is introducing a cutting-edge ‘Hybrid Floor Wetness Sensor’ equipped with machine learning technology.

Designed to prevent slips and falls in washrooms by ensuring floors are promptly cleaned, this innovative solution addresses a common hazard in public spaces.

One of the key features of the hybrid sensor is its dual capability to transmit data via either the Sigfox 0G network or LoRaWAN. This adaptability meets the diverse needs of UnaBiz’s established customer base and prospective clients, who can specify their preferred network during the sensor’s deployment.

Ensuring privacy in sensitive installations

Given the deployment of such devices in sensitive areas like washrooms, it is likely that UnaBiz has implemented strict privacy and data security measures. The sensor likely uses thermal imaging to monitor conditions anonymously without recording any identifiable information, merely capturing temperature variation data.

All transmitted data is presumably secured through robust encryption to prevent unauthorised access. UnaBiz will need to ensure compliance with stringent regulations like GDPR and PDPA by minimising personal data collection to only what is required for functionality. This proactive privacy-by-design approach could enhance user trust.

Manually monitoring wet floors is challenging and ineffective, as water is transparent and hard to detect, especially in large areas. UnaBiz’s solution uses thermal sensors to continuously monitor temperature differentials that indicate wet conditions, providing around-the-clock surveillance. The sensor reports four critical events to prompt appropriate cleaning and maintenance actions:

  1. Normal floor conditions
  2. Wet floor detected
  3. Floor has been cleaned
  4. Fall incident detected

This advanced solution combines edge computing and AI to analyse washroom floor conditions in real-time, enabling facilities managers to take immediate action to mitigate potential hazards. Developed in-house by UnaBiz’s Singapore team, the product uses collected data to train a predictive model.

Through thermal imaging, it gathers floor temperature data, performs local analysis, and sends only the processed information to the cloud, ensuring anonymous monitoring without compromising privacy. This accident prevention solution could also potentially reduce insurance liabilities for companies.

Environmental and operational benefits

Beyond operational benefits, the Hybrid Floor Wetness Sensor could offer environmental advantages. Precise cleaning interventions enabled by the sensor may significantly reduce water and chemical use, thereby decreasing chemical runoff. Operating on low-power networks like Sigfox and LoRaWAN likely makes it more energy-efficient than traditional methods.

If UnaBiz prioritises the use of recycled materials and renewable energy in production, it could minimise the device’s carbon footprint. A durable design might also reduce the need for frequent replacements and associated waste. Collectively, these factors position the sensor as an eco-friendly solution aligned with sustainable facility management.

Continuous real-time monitoring and prompt alerting significantly enhance safety and operational efficiency in facilities management. UnaBiz recognises the potential for expanding this solution’s applications through further machine learning developments for diverse use cases across various sectors.

Calvin Foo, Director of Ecosystem at UnaBiz Singapore, commented on the launch, stating, “Our Hybrid Floor Wetness Sensor is a game-changer in facilities management. By combining thermal imaging, AI, and edge computing, we are delivering a solution that addresses the immediate needs of our customers – facility management companies that manage shopping malls, offices or public spaces.”

Foo emphasised the importance of this solution in reducing the risk of slip and fall accidents, a crucial consideration in Singapore’s aging demographic.

Remi Lorrain, VP of Convergence at UnaBiz, added, “Following the successful implementations of Sigfox and LoRa at both the device firmware (dual stack) and middleware (UnaConnect device management) levels, UnaBiz continues to break down barriers to LPWAN Convergence by offering comprehensive hybrid solutions that leverage the strengths of both the Sigfox and LoRa ecosystems.”

The Hybrid Floor Wetness Sensor will make its debut at the upcoming CleanEnviro Summit Singapore 2024, a biennial event organised by Singapore’s National Environment Agency that brings together industry leaders, policymakers, and subject matter experts to discuss innovative solutions for enabling a sustainable and clean environment.

Want to learn more about edge computing from industry leaders? Check out Edge Computing Expo taking place in Amsterdam, California and London. 

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