Across Canada, employers in manufacturing, logistics, utilities, public services, and community work are all grappling with the same uncomfortable reality: more people are doing safety‑critical work away from direct supervision, often alone or in fluid, hard‑to‑monitor environments. At the same time, expectations around duty of care, documentation, and accountability are rising. It is no longer enough to have a lone worker policy on paper or a basic check‑in routine; regulators, courts, and workers themselves increasingly ask a different question: Will your system actually work when someone needs help?
That pressure has driven rapid interest in connected safety technology and wearables. From AI‑powered camera systems that watch for near‑misses on busy warehouse floors, to app‑based lone worker platforms and specialist devices for remote or high‑risk tasks, the promise is simple: better visibility, faster response, and a clearer record of action taken. But the path from promise to practice is rarely straightforward.
Many organizations that rushed into pilots a few years ago discovered that clever technology is only part of the equation. Tools that look impressive in a demo can struggle on noisy factory floors, in low‑signal rural areas, or in work cultures where safety processes feel like extra admin rather than a core part of the job. Others found themselves overwhelmed with alerts they could not act on, or juggling disconnected systems that did not talk to one another.
This Annual Guide explores how connected safety technology and wearables are evolving beyond novelty into essential infrastructure. Drawing on the perspectives of leading providers Voxel and OK Alone, and on emerging practice from across Canadian workplaces, we look at how AI vision, app‑based protection, and wearables are changing what “visibility” means, where organizations are still getting stuck, and what it will take to build safety ecosystems that are simple, defensible, and genuinely protective for people on the front line.
Only a few years ago, many Canadian employers still saw safety technology as a box‑ticking exercise. For lone worker protection, the bar was often a basic policy, a manual call‑in routine, or a simple app that could, in theory, raise an alert. For fixed facilities, cameras were mostly used for investigations after something went wrong.
That mindset is shifting. Organizations are asking harder questions about reliability, coverage, and real‑world performance. As OK Alone observes, employers are moving from simply asking whether they have a lone worker solution in place to asking whether it will “work reliably when a worker actually needs help.” They want tools that give “real visibility of worker status, support faster escalation, work in low‑signal or remote conditions, and help them demonstrate a clear, defensible duty‑of‑care process,” not just one more system to manage.
The same pattern is playing out in connected safety more broadly. Safety leaders who already run training programs, audits, and inspections are increasingly looking for technologies that can show them where risk is building up between those scheduled activities, and whether their interventions are making a measurable difference.
Hidden lone workers across Canada
AI‑enabled vision systems are one of the most significant shifts in this space. Companies like Voxel connect to a facility’s existing CCTV and IP camera infrastructure and apply AI‑powered computer vision to live video feeds, scanning for risk events as they unfold.
The founding idea was deceptively simple. “Most industrial facilities already had cameras everywhere, but those cameras were only useful after something went wrong,” notes Voxel. The opportunity was to transform that infrastructure into a proactive system “that detects risk as it’s forming, not after it has materialized into an injury.”
Instead of relying purely on incident reports, supervisor walkthroughs, or worker self‑reporting, these platforms can detect risky behaviours and near‑misses involving people, vehicles, equipment, and the surrounding environment in real time. For example, repeated close calls between powered industrial trucks and pedestrians in a particular aisle, or patterns of unsafe line‑of‑travel at busy dock doors, may be hard to spot reliably with the naked eye. AI vision systems are built to surface those patterns at scale.
One near‑miss experienced by a Voxel customer illustrates both the risk and the potential. A powered industrial truck came close enough to a pedestrian to knock her to the ground before the driver realized contact had been made. It could easily have been catastrophic. With Voxel deployed, the event was not only captured and alerted immediately; safety leaders also had detailed data on where, when and how it occurred, giving them a clear path to redesign traffic flows and walkways before anyone was seriously hurt.
“What stays with me about that incident is that the pattern almost certainly existed before it became an injury,” says Lindsay Martyn, enterprise sales director for Canada. “The technology doesn’t just record what happened; it tells you what’s about to happen early enough to do something about it.”
Crucially, the same data often reveals purely operational issues. Congested intersections, chronic bottlenecks, and misuse of equipment all show up in the footage, giving operations and industrial engineering teams new levers to improve throughput and reduce cost. In that sense, connected safety technology is becoming as much an operations tool as a safety one.
While AI vision focuses on fixed facilities, the lone worker challenge is increasingly about mobility. Field technicians, social and community workers, surveyors, inspectors, and public‑facing staff all spend at least part of their time out of sight and earshot of colleagues. Traditional paper‑based check‑in systems or ad‑hoc text messages are not designed for that world.
OK Alone’s evolution shows how app‑based and connected tools are reshaping lone worker protection. The platform started as a Canadian SaaS solution built around a simple mission: “To protect your people. Wherever. Whenever.” Over time, it has grown into a broader employee safety platform with app‑based check‑ins, timed activities for higher‑risk tasks, Panic Button alerts, man‑down detection, and Low Signal Mode+ to support areas with poor coverage. A live dashboard gives managers real‑time visibility of who is working alone, where they are, and whether they may need support, with configurable escalation paths and the option of a 24/7 Safety Monitoring Center.
That combination of simplicity for workers and structure for managers addresses a common failure point: consistency. “One of the biggest challenges we have experienced with connected safety technology is not initial rollout, but sustained worker usage over time,” says Rob Camp, senior vice president. Adoption is often strong at launch, but usage can drift as people get busy or start to see check‑ins as “an extra task rather than an important safety process.”
The lesson is that connected safety tools must be “simple, purposeful, and embedded into real workflows.” Workers need to understand when and why to use them, and organizations need clear ownership for monitoring and escalation so employees can see that alerts are taken seriously. When those pieces are missing, even well‑designed tools can quietly fail.
A story from one OK Alone customer underscores what is at stake. On the day of a staff Christmas party, a worker, Taylor Martell, failed to arrive as expected. A designated monitor received an alert that Taylor had missed a check‑in and that there had been no movement from her phone for several minutes. Using the dashboard, the monitor and Taylor’s manager traced the GPS location to a roadside near that day’s work site and found her car at the side of the road, with Taylor unconscious inside after falling into a diabetic coma. An ambulance was called and she recovered, but her employer credits OK Alone’s missed‑check‑in alert and location visibility with saving her life.
Wearables add another layer to connected safety. In higher‑risk environments, wristbands, badges, pendants, or smart PPE can provide haptic alerts, man‑down detection, or one‑touch distress signals when reaching for a phone is not realistic. For some lone workers, a discrete device can be more acceptable or durable than a smartphone alone.
At the same time, providers and customers alike are becoming more pragmatic about where wearables make sense. OK Alone notes that wearables are “increasingly seen as a useful additional layer of protection, especially in higher‑risk environments where accessing a phone may not be practical,” bsays Rob Camp, senior vice presidentsays Rob Camp, senior vice presidentut they are “more expensive and mostly similar in all functionalities that apps offer.” In their view, the centre of gravity in the next few years will remain with digital, app‑based solutions, with wearables acting as complementary tools in specific contexts rather than the heart of the strategy.
For organizations planning their investments, that distinction matters. App‑based systems can often be deployed quickly at scale, integrated with existing safety, HR and fleet systems, and updated over time as work patterns change. Wearables may be best reserved for tightly defined roles or tasks where they offer clear incremental protection.
Across both AI vision and lone worker solutions, the biggest stumbling blocks are less about algorithms and more about people and process.
On the AI side, one recurring challenge is the volume and nature of insights. Voxel notes that AI systems can surface risk behaviours “at a pace and volume that organizations aren’t always structurally ready to act on.” Without clear protocols for reviewing alerts, escalating issues, and feeding insights into coaching or engineering controls, valuable signals can be lost in the noise.
For lone worker tools, the equivalent problem is sustaining everyday usage. Technology that is too complex, poorly explained, or inconsistently enforced quickly becomes background noise. Workers may click through check‑ins mechanically or stop using the system altogether if they feel nobody is watching the dashboard or responding meaningfully to alerts.
The organizations that get the most out of connected safety technology treat implementation as a behavioural and organisational design problem, not just a technical one. They:
involve front‑line workers and supervisors early to shape realistic workflows
set clear expectations: who uses what, when, and what happens if they do not
define ownership: who monitors, who responds, and how escalations work across shifts
close the loop by showing workers how alerts lead to real changes in procedures, equipment or staffing
When people can see that the system works for them rather than simply monitoring them, engagement and trust tend to rise.
Looking ahead, both providers see connected safety moving from isolated tools to joined‑up ecosystems, and from simply detecting events to predicting where risk will emerge.
Voxel’s focus is on the “shift from detection to prediction, and from site‑level insight to enterprise‑level intelligence.” Today’s best tools tell safety teams what is happening now; the next frontier is reliably surfacing leading indicators early enough that organizations can intervene before risk materializes. That could mean spotting patterns in near‑miss data across dozens of sites, correlating behaviours with time of day or staffing levels, or linking safety insights to wider operational decisions.
OK Alone sees a similar trajectory for lone worker protection. Over the next two to five years, the firm expects “more connected safety ecosystems, where check‑ins, alerts, live visibility, escalation, and reporting all sit within one joined‑up process rather than in separate tools.” In that world, app‑based systems will sit at the centre, with wearables and specialist devices acting as extensions for specific tasks or environments. The priority will be technology that is easier to scale, more resilient in low‑signal and remote conditions, and better integrated with the systems organizations already rely on.
For Canadian organizations, the message is clear. Connected safety technology and wearables are no longer fringe experiments. They are rapidly becoming part of the baseline infrastructure for managing risk, especially where work is dispersed, mobile, or high‑hazard. The challenge for leaders is to move beyond one‑off pilots and point solutions toward ecosystems that combine AI vision, app‑based protection and, where appropriate, wearables – anchored in clear procedures, human‑centred design, and a commitment to acting on what the data reveals.
The goal is not a future where machines replace judgment, but one where safety teams, supervisors and workers have better information earlier, and can use it to keep people out of harm’s way.
