SIPS, TRIPS & FALLS


the system is designed to alert designated emergency contacts or trigger a call for help. This is especially critical for lone workers, where time is key to getting medical support to the right location.


PROVEN IN HIGH-IMPACT ENVIRONMENTS Quin’s technology has been proven in motorcycling and cycling, where crashes are unpredictable and must be detected instantly. These same sensors now appear in industrial helmets, capable of recognising slips, trips and falls, and distinguishing them from accidental helmet drops or bumps.


The Pod’s sensors are designed to record the event, assess severity based on the data collected, and notify supervisors, emergency contacts, or professional emergency services with the ResQ feature. It’s particularly valuable for lone workers, who may otherwise be unable to call for help.


When combined with the Mips brain protection system for industrial safety helmets, which is specifically designed to help reduce rotational motion to the head during angled impacts, this creates a unique combination of physical and digital safety.


“TRAUMATIC BRAIN INJURY (TBI) IS MORE COMMON THAN MANY REALISE. THE MOST FREQUENT TYPE IS CONCUSSION, WHICH MAKES UP AROUND 75 % OF ALL TBI CASES. WHAT IS OFTEN MISSED IS THAT 90% OF DIAGNOSED CONCUSSIONS DO NOT INVOLVE A LOSS OF CONSCIOUSNESS. AND NEARLY 50% OF TBIS GO UNDIAGNOSED.”


This combination of technology speaks to Quin’s mission to improve real-world head protection through intelligent design and validated science.


Imagine a worker on a scaffold slips and falls. They stand up and carry on, dazed but seemingly fine. No one saw it happen. But their helmet did. A smart sensor inside detected the fall, analysed the force, confirmed it was a real event and logged the exact time and location. If the threshold was high enough, it could have alerted site supervisors or emergency contacts in real time.


Later, that data could inform both medical assessments and safety reviews. If multiple incidents happen in the


same zone, it might prompt a layout change or surface repair. Smart helmets can also track cumulative impacts. Helmets that have taken repeated knocks may need replacing, even without visible damage. These decisions are often based on guesswork. With impact data, they can become more informed and data-driven.


THE GUARDIO ARMET PRO HELMET


The world’s first smart industrial safety helmet has been announced in the Guardio Armet PRO. It combines Quin’s intelligent detection with the Mips® brain protection system for industrial safety helmets.


This helmet monitors movement in three dimensions 1000 times per second, analyses impact data, and sends automatic alerts if thresholds are breached. It represents a new standard that can protect the head physically while improving emergency response. It does not replace risk assessments or safety training but provides a vital extra layer: data, detection and connection. It provides data on helmet impacts, including impact area, time and location, to support faster decision-making when evaluating incidents


CHANGING THE CULTURE AROUND PROTECTION Accident data exists, but often lacks detail. To protect people better, we need better reporting, clearer insight and more education on what helmets can and cannot do. Hard hats are a standard requirement, but the industry needs to push beyond the minimum. Prevention means recognising the full range of risks, especially head injuries that cannot be seen from the outside.


Slips, trips and falls are often brushed off. But near- misses are warnings. If logged and studied, they offer some of the clearest signs of risk.


Technology that automatically captures these events changes the narrative. It removes the pressure on workers to self-report and shifts the focus from blame to learning. By capturing what really happens on site, we can have better conversations about how to prevent it next time.


A smarter helmet helps workers, supervisors and safety leaders respond faster and plan better. We can reduce the frequency and severity of head injuries on-site by linking real-world conditions with real-time data.


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