In 2017, there were 24,890 reported serious work injuries from falls, trips and slips.
These injuries are serious when they happen as part of a group and are the second most common work accident; so, what happens if this happens to an individual working alone in a remote area? Lone workers doing shifts are unable to send for help in emergency situations with the current radio and/or GPS-based communications systems if they fall unconscious. This is one of the largest health and safety problems internationally across the resources sectors. Canaria Technologies’ predictive biometrics hardware can synchronise movement data with physiological stress to instantly ascertain whether one of these incidents has happened and call for help; even if the user has been knocked unconscious.
As of the 1st of January 2014, it has become compulsory for Australian employers to monitor the health and well being of any of their employees working remotely or in isolated conditions. In the resources sector, this is a particular problem due to the remote nature of work and operation of heavy machinery.
Safework Australia defines remote or isolated workers as: ‘Remote or isolated workers may be isolated from help because of where or when they are working, or the nature of the work they are doing.
For example, they may be working in locations or at times where it would be difficult for them to be rescued, get medical assistance or be reached by emergency services. Workers may face additional WHS risks if nobody else is around to help with difficult tasks, alert them to hazards or give a second opinion about how to safely do a task, or notice if they are fatigued or making mistakes.
This issue compounds in regional areas where minutes mean the line between life-and-death; radio communications can be sporadic and individuals knocked unconscious are unable to communicate whatsoever that help is needed.
This is a well known and well documented problem with a saturated market of solutions already available. Canaria Technologies strives to eradicate this prevalent health and safety problem though the implementation of our intelligent multi-faceted predictive biometrics system; looking to integrate directly into emergency response services in the near-horizon.