Etiscope 3.0
In active development
Where the capture layer is going.
Etiscope 3.0 brings vision capture. Not as a replacement for the sensors, but as an augmentation — extending coverage to the body regions the five-sensor configuration does not directly reach — and as an alternative capture path where sensors cannot practically be used. And because it works on video, assessments you have already captured with suitable video will be able to run through it too.
The architecture
The methodology is pose-data-agnostic.
The Consequential Risk Score runs on biomechanical exposure data. How that data is captured is a separate question from how it is scored — the methodology, the consequence weighting and the intelligence layer ride on top of whichever input fits the work.
Sensors are the production path today because of validation, not because of capability: the five inertial measurement unit (IMU) configuration is the one the methodology has been validated on. Vision capture is in active development and will carry its own statement of the conditions it has been validated for, published alongside it, rather than being offered as generally equivalent.
Three configurations
Sensors, vision, or both.
Each configuration has its own strengths, so you can choose the one that fits the work rather than fitting the work to the instrument.
The production path today
Sensors only
- Provides
- Continuous head, back and upper-arm signals, captured on the body through the whole task, and reliable through visual occlusion — behind PPE, in confined spaces, in low light, at height and at night.
- Best when
- The work is industrial, the environment is hard to see into, or the assessor needs to stand at a safe distance. This is the configuration the methodology has been validated on.
- Trade-off
- Lower limbs, hands and fingers are not directly covered by the five-sensor configuration, and the sensors have to be fitted before the task starts.
Coming in Etiscope 3.0
Vision only
- Provides
- Whole-body geometry from the camera's view: lower limbs, hands, the surrounding scene and visible task events, without fitting anything to the worker.
- Best when
- Sensors cannot practically be fitted, the lower body or the hands are the question, or the scene around the worker is part of what needs recording.
- Trade-off
- It depends on visibility, lighting and framing, and it cannot infer load mass or force. Anything the camera cannot see, it cannot measure.
Coming in Etiscope 3.0
Sensors and vision
- Provides
- The strongest evidence of the three — the sensors' continuous, occlusion-proof signal alongside the camera's whole-body geometry and scene context, on the same task.
- Best when
- The assessment has to stand up to the most scrutiny, or the task involves both heavy trunk loading and detailed hand or lower-limb work.
- Trade-off
- Both set-ups are required: the kit has to be fitted and the camera has to have a usable view.
Your existing record
You don't have to wait for vision to benefit from it.
An Etiscope assessment captured with synced video already holds most of what vision analysis needs. When Etiscope 3.0 arrives, assessments whose footage is suitable will be able to run through it without being re-captured: richer labelling of the task and its steps, lower-limb and hand context the five sensors do not directly reach, and more detail behind each score.
There are two limits to be aware of. Not every recording will qualify — resolution, framing and synchronisation all matter, and some older footage will not meet the bar. And how vision analysis is packaged in a licence will be confirmed at release, so a large back-catalogue may be worked through over time rather than all at once.
Even so, the library you build today keeps its value. Capture with video now, and the enhancements can land on your existing assessments as well as on new ones.
Where it stands
Released the way the sensors were: validated first.
Vision capture is in active development for Etiscope 3.0. It will ship with a published statement of the conditions it has been validated for — the same discipline the five-sensor configuration went through before it became the production path — rather than being offered as generally equivalent from day one.
Until then, the five-sensor kit is the validated capture path, and it is what a program is bought, run and defended on. If lower-limb or hand exposure is central to your program, tell us in a demo: that is the gap vision is being built to cover, and it helps us prioritise the conditions it is validated for first.