How augmented reality can help employees while they work
augmented reality overlays instructions, data and alerts on the real equipment or space, so the employee consults the information right where they need it, without leaving the task. It is used in maintenance, assembly, logistics, quality control and remote assistance, and it reduces errors and time spent looking things up.
The idea: training and help "at the moment of need"
Classic training happens before the work. AR brings help during the work: on the equipment itself, the employee sees what to do next, which part it is and what precautions to take. This is known as *performance support*.
Devices
- Phone or tablet: the simplest and most affordable option.
- AR / mixed reality glasses: hands-free, ideal for manual tasks.
- Helmets with an industrial visor in environments that require them.
The choice depends on whether the worker needs their hands free, on the environment (noise, light, PPE) and on the budget.
Main applications
1. Step-by-step instructions
Guided assembly, adjustment or repair, with visual indicators on each part or screw, and confirmation of each step.
2. Maintenance
View the equipment's history, parameters and instructions by scanning a code or recognising it. Useful for infrequent tasks.
3. Picking and logistics
Visual cues for location and quantity, which reduce errors and speed up order preparation.
4. Quality control
Compare a part with its digital model, mark defects and record the results.
5. Remote assistance
An expert sees what the technician sees and can draw instructions over their field of view. It saves travel and speeds up resolutions.
6. On-the-job training
Guided exercises on the real equipment during the first weeks.
7. Safety
Warnings about hazard zones, permits to work or mandatory PPE.
8. Data visualisation
Real-time indicators (temperatures, pressures, states) overlaid on the machine.
Benefits
- Fewer errors in complex tasks.
- Less time spent searching for information.
- Less dependence on paper manuals.
- Continuous training on the job.
- Fewer trips by experts.
- Standardisation of procedures.
What is needed
- Digital content: 3D models, structured instructions, data files.
- A recognition system: QR codes, object recognition or space recognition.
- Integration with maintenance or production systems, where relevant.
- Devices suited to the environment.
- Brief training for users.
- An update plan for the content.
Challenges and cautions
- Demanding environments: lighting, dust, noise.
- Ergonomics and fatigue with glasses over many hours.
- Connectivity in plants with limited coverage.
- Resistance to change among employees.
- Privacy: cameras in the workplace must comply with employment law and data protection law.
How to get started
- Choose a task that is frequent, complex or has many errors.
- Run a pilot with phones or tablets.
- Measure time, errors and satisfaction.
- Scale to the other procedures and consider glasses if needed.
Key ideas
- AR brings help to the exact moment of the task.
- A phone or tablet to start; glasses for hands-free work.
- Maintenance, assembly, logistics and remote assistance are the main uses.
- It needs structured content and good integration.
- A pilot on one specific task is the best first step.
Frequently asked questions
Do I need AR glasses?
Not necessarily. A phone or a tablet can be enough to start.
Does it work offline?
Yes, if the content is installed on the device.
Which sectors use it most?
Industry, energy, automotive, logistics, healthcare and telecommunications.
Does it really reduce errors?
It can, on complex or infrequent tasks. It is worth measuring in your own case with a pilot.
More guides on this topic
10 business processes that can be taught with virtual reality
Ten business processes ideal for virtual reality training: machinery operation, maintenance, safety, emergencies, customer service, sales and more.
How to create a virtual reality training simulation
A guide to creating a virtual reality training simulation: learning objectives, instructional design, scenarios, assessment, development, testing and rollout.
How to measure whether immersive training really works
How to assess whether VR or AR training works: a four-level model, metrics for learning, behaviour and the business, control groups and common mistakes when measuring.