Services - 4 phases

Phase 1 – Trial of PoC Trial

One control room operator using the device, to verify connectivity, logistics, safety, fit of prototype earpiece, reliability, accuracy and manageability of the Proof of Concept Trial (Phase 2).

Duration

2 months

Scope

1.  Survey of PoC Trial location, workstations, power and Internet connectivity and workplace procedures that are relevant. Identification of 3rd-party identification of fatigue-related events (such as data about operator’s process performance, webcam video of face, alerts from competitor technologies).

2.  Iterative refinement of the prototype design and measured reliability and accuracy of our prototypes inside Canaria. Iterative refinement of the backend data storage and processing systems. Write first drafts of Instructions for Use and training playbook.

3.  Selection of one operator for the trial-of-trial.

4.  Fitting of prototype device to operator.

5.  Training in how to use and maintain the prototype, including procedure for digital diary entries and saving data.

6.  One week of data collection by the operator. Canaria will be hands-off but on-call, the purpose is to verify if the operator can manage the maintenance and data collection process on their own.

7.  Analysis of 5+ days of operator data.

Conclusion

–  Prototype design ready for the PoC Trial

–  Backend systems in place to store and process the PoC Trial data

–  Verification that the prototype device can reliably and accurately measure Heart Rate and Heart Rate Variability

–  Instructions for Use and training materials ready for the PoC Trial

 

Phase 2 – PoC Trial

In a control room (or equivalent office environment) with up to 10 subjects working 12-hour shifts x 2 shifts/day x 2+ months

Duration

4 months

Scope

1.  Selection of 10+ operators for the trial.

2.  Building and fitting of a unique prototype device for each operator.

3.  Training in how to use and maintain the prototypes, including procedure for digital diary entries and saving data.

4.  8+ weeks of all day data collection by all the operators. Canaria will be hands-off but on-call.

5.  Continuous delivery of iterative refinements to the prototype design and measured reliability and accuracy of our prototypes. Continuous iterative refinement of the backend data processing. Ongoing improvements to the Instructions for Use and training playbook.

6.  Analysis of 100+ days of operator data looking for reliable indications of cognitive fatigue.

7.  Report on “too tired to work” events detected in the control room. White paper on the reproduction of findings in academic studies to date.

Conclusion

–  Proof that the device can predict “too tired to work” events

–  Published white paper of the trial results

–  Documented designs, Instructions for Use and training materials ready for the next phase

 

Phase 3 – Trial of Field Pilot

One in-field (on a driver or field operator) subject using the device, to verify logistics, safety and manageability of the Field Trial (Phase 4)

Duration

2 months

Scope

1.  Survey of Field Pilot location, workstation/drivers’ cab, power and Internet connectivity and all workplace procedures that are relevant. Identification of 3rd-party identification of fatigue-related events (such as data about operator’s process performance, webcam video of face, alerts from competitor technologies). Identification of all IT systems that have to connect and all their API documentation.

2.  Iterative refinement of the prototype design and measured suitability for the pilot environment (eg from wired device to wireless device). Update Instructions for Use and training playbook for use in the field.

3.  Selection of one operator for the trial-of-trial.

4.  Fitting of prototype device to operator.

5.  Training in how to use and maintain the prototype, including procedure for digital diary entries and saving data.

6.  One week of data collection by the operator. Canaria will be hands-off but on-call, the purpose is to verify if the operator can manage the maintenance and data collection process on their own.

7.  Analysis of 5+ days of operator data.

Conclusion

–  Prototype design ready for the Field Pilot

–  Backend systems in place to store and process the Field Pilot data

–  Verification that the prototype device can reliably and accurately measure Heart Rate and Heart Rate Variability

–  Instructions for Use and training materials ready for the Field Pilot

Phase 4 – Field Pilot

In-field on drivers (and/or equivalent in-field environments) with 20-50 subjects working full-length shifts x 2 shifts/day x 2+ months

Duration

4 months

Scope

1.  Selection of 20+ operators for the pilot.

2.  Building and fitting of a unique prototype device for each operator.

3.  Training in how to use and maintain the prototypes, including procedure for digital diary entries and saving data.

4.  8+ weeks of all day data collection by all the operators. Canaria will be hands-off but on-call.

5.  Continuous delivery of small iterative refinements to the prototype design and measured reliability and safety of our prototypes. Ongoing improvements to the Instructions for Use and training playbook.

6.  Engage with OEM for design-for-manufacture reviews, BoM optimisation and finalise production design and budget.

7.  Analysis of 200+ days of operator data checking “too tired to work” alarms and verifying that they were appropriately timed.

8.  Report on “too tired to work” events detected in the field. Updated white paper on the reproduction of findings in academic studies to date.

Conclusion

–  Proof that the device can predict “too tired to work” events in field environments

–  Published white paper of the trial results

–  Production device design ready for manufacture

–  Instructions for Use and training materials ready for roll-out

–  OEM, IT integraion, roll-out services and training contractors engaged and budgets obtained

Get In Touch

Technical: CTO Dr Robert Finean

rob@canaria.co.uk

Business: CEO Alex Moss

alex@canaria.co.uk

Canaria Technologies is a company standing at the crossroads of innovation between the space industry, the resources sector, medicine, and cutting edge AI.

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