Fly Fly Check · Drone Hyperspectral Inspection for Fire-Retardant Safety Nets

Fly Fly Check is a Hong Kong-based venture that uses drones equipped with hyperspectral sensors to verify fire-retardant treatment on scaffolding safety nets. The system performs non-destructive, real-time chemical verification across an entire building facade, aiming to replace or supplement manual lab-based sampling. The project is associated with the University of Hong Kong and has received recognition through programmes such as Cyberport CCMF, HKSTP Ideation, and HKU Dea.

The business is for construction sites, regulatory bodies, and safety inspectors in Hong Kong who need to verify fire-retardant compliance without damaging the nets. It serves the post-Tai Po fire-safety regulatory environment by offering a method that is non-destructive, real-time, and covers the whole facade from the air. The technology claims to detect compliance with over 95% accuracy while reducing lab testing downtime by 70%.

To get started, interested parties can contact the business via the provided phone number at +85254046488 or visit their website at hkuavtech.com. The platform allows users to see how the technology works and get in touch directly through the website's contact section. There are no stated terms for booking or ordering, but the service is available for immediate deployment on-site.

The process begins with pre-installation testing where nets are sampled on-site using a government-prescribed method and fully video-recorded. Next, samples are sent to a designated lab for flame-retardant testing and cannot be installed until approved. Finally, BD and supervisory departments take random samples from installed scaffolding during in-use surprise sampling to enforce compliance.

The solution uses a drone equipped with a SWIR hyperspectral sensor and an on-board classifier to read the chemistry of every net. The system provides immediate on-site data processing and treated/untreated classification, adapting from polymer-industry detection R&D. The sensor type is commercially available, and the AI model includes anomaly detection capabilities.

The service is backed by the Cyberport CCMF Grantee status, the HKSTP Ideation Programme, and the HKU Dean's I&E Award 2025–26. It also won the 12th HK Student I&E Competition and received funding from the Tam Wing Fan Innovation Fund and Philomathia Foundation Fund. The University of Hong Kong is explicitly listed as a key partner in the project.

The drone-based system offers non-destructive inspection, meaning no need to cut samples, which preserves the integrity of the installed safety net. It provides real-time analysis with immediate on-site data processing and treated/untreated classification. Full-facade coverage ensures the drone efficiently scans the entire building exterior, not just sample patches.

The system claims a detection accuracy of over 95% in distinguishing treated from untreated nets. It reduces lab testing downtime by 70% compared to traditional methods. The platform aims to provide 100% full-facade coverage, ensuring no non-compliant nets are easily missed.

The current problem addressed is that today's safety-net checks are manual, slow, and only skin-deep. Manual sampling can take days per site, delaying construction schedules and creating inefficiencies. Reliance on manual labour creates potential safety gaps, and spot-checks only cover small cut samples.

The mandatory regulatory workflow requires pre-installation testing with video recording, government lab approval before installation, and in-use surprise sampling. Non-compliance triggers removal orders, work suspension, and significant fines under Hong Kong's tightened rules. The system aims to streamline this mandatory process.

The website states the technology detects compliance with over 95% accuracy while reducing lab testing downtime by 70%. It provides full-facade coverage and is non-destructive, real-time, and across the entire facade. The system is designed to replace or supplement manual lab-based sampling.

You can reach Fly Fly Check · Drone Hyperspectral Inspection for Fire-Retardant Safety Nets by phone at +85254046488.

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