From compliance to foresight
The classic model of occupational health and safety looks backward: an accident happens, the root cause is investigated, and a precaution is written down. Measurement follows the same logic — accident count, lost days, severity rate. What they share is that all of these appear only after something has already happened.
The global trend over the last decade has reversed this logic. Leading organisations no longer measure accident counts; they measure the signals that precede an accident: near-miss reports, site inspection frequency, training attendance, equipment failure trends. No single indicator describes an accident on its own, but read together they show where an accident is quietly taking shape.
What made this shift possible was less a change of method than a change in data. The moment continuous, structured, comparable data can be collected from the field, risk management stops being an annual report exercise and becomes a daily operating indicator.
Vision Zero: zero accidents as an assumption, not a target
Vision Zero starts from the premise that every workplace accident and occupational disease is preventable. Promoted by the International Social Security Association (ISSA), the approach is now adopted by hundreds of major organisations worldwide and, alongside ISO 45001, is considered one of the two most widespread global frameworks.
What sets the approach apart is that it's managerial rather than technical. It rests on three pillars: safety owned by senior management, systematic risk management, and employees as active rather than passive participants. Without these three in place, no technology investment delivers the expected result — because the problem is usually not that risk goes unseen, but that seen risk goes unreported.
Technologies that measure the field
These technologies all share the same goal: turning inspection from a periodic visit into a continuous measurement.
AI-powered camera systems
Using existing camera infrastructure, situations such as a missing hard hat, safety harness or reflective vest, a restricted-zone breach, work at height, or smoking can be detected in real time with an audible alert. The most common use is on large construction sites and in ports.
IoT sensors
Gas, dust, noise, temperature, vibration and oxygen levels are monitored continuously. Instead of the snapshot a periodic measurement gives a few times a year, this provides a stream that alerts instantly when a threshold is exceeded.
Wearable technology
Smart helmets, smart watches and body sensors can track falls, lone working, gas exposure, pulse, body temperature and fatigue. They are especially spreading on energy and mining sites where lone working is unavoidable.
Drone inspections
Roofs, power lines, tall structures, chimneys and mine sites can be inspected without anyone climbing up. Because the inspection itself creates a work-at-height risk, this technology doesn't just reduce risk elsewhere — it removes the risk of the inspection activity itself.
Technologies that predict
Measuring alone isn't enough; the real difference lies in whether the accumulated data can say something about the future.
Predictive safety
Near-miss events, equipment failure history and behavioural observations are analysed together to produce a risk score by location, team or shift. The goal isn't to predict the accident itself, but to route resources to the right place.
Digital twin
A digital model of the site or facility is built, and scenarios are tested on that model. Crane positioning, evacuation routes or bringing a new line into service can be simulated before they are applied on site.
Approaches that change behaviour and learning
Technology makes risk visible, but what changes behaviour is still method.
Behaviour-Based Safety (BBS)
Employee behaviour is systematically observed and corrected through feedback. Putting feedback ahead of punishment is decisive for building a reporting culture — where reporting is punished, near-miss records dry up too.
VR and AR training
Scenarios that are dangerous to run in a real setting — work at height, confined-space entry, firefighting response, crane operation — can be experienced in a virtual environment. Training that is experienced rather than merely explained produces far more lasting behaviour change.
Mobile OHS applications
Photo-based nonconformity reporting, QR-coded equipment checks and digital work-permit systems are in use on site. Although the simplest technology on this list, it's usually the actual source of the data that feeds predictive safety.
Sectors using these systems most intensively
Where this technology has spread is not random; sectors with high risk, large sites and physically difficult inspection stand out.
Oil and gas
Explosive atmosphere, high hazard class, continuous gas-measurement requirement.
Construction
Changing sites, many subcontractors, intensive work at height.
Mining
Underground conditions, limited visibility, lone working and the criticality of evacuation scenarios.
Energy
Facilities spread over wide geography, high voltage, hard-to-reach points.
Automotive
High-volume production lines, shared human-robot work areas, repetitive-task ergonomics.
Logistics and ports
Heavy site traffic, heavy-load handling, high staff turnover.
What this means for Turkey
Not all of these can be applied in Turkey at the same pace. The real dividing line isn't whether the technology exists, but the infrastructure it requires.
Mobile reporting systems, behaviour-based safety programmes, VR training and drone-supported inspection are applicable today; the additional investment required is limited and the results are measurable quickly. Large-scale image analysis and digital twins, by contrast, require both serious hardware investment and facility-specific modelling.
Image analysis also has a personal-data-protection dimension. Continuous image processing at a workplace raises questions of notice obligations, retention periods and purpose limitation; that framework needs to be established before the technology is installed.
Still, sequencing is what really matters. Predictive safety doesn't work without data, and data accumulates once regular reporting comes from the field. For most organisations, then, the right starting point isn't the most advanced technology — it's the simplest tool that makes on-site reporting easier.
As ARŞ OSGB, we assess which of these approaches are applicable to businesses in Turkey today. If you'd like to discuss which one makes sense for your own organisation, you can reach us at +90 (216) 641 66 61.