IDC reports that the global shipments of wearable devices will account to almost 190 million units per year by 2022. How these devices can change the way the frontline workers operate?
Fremont, CA: Even though the experiments are in its adolescent stage, wearable device manufacturers have noted a rising need for testing and experimentations on how these devices can assist the first responders or the workers in the front line. If the ambulance service is considered, Paramedics have to log the patient’s details manually before handing over the patient or on arrival to the hospital. This method might cause a delay in the information transfer and create discrepancies due to human errors while reporting by the people involved.
AR smart can be used by Paramedics to receive and transfer vital patient information without upsetting diagnosis and the administration of triage. This frees up the medics’ from manually filing reports to conducting quicker treatments for the patients; more importantly, the hospitals can be ready and on standby if the information reaches beforehand.
Wearables have numerous applications, especially in the area of emergency services. One more example is the firefighter’s suit or helmet. If internet-connected technologies are embedded into the suit or helmet, it can deliver vital information on both the scene of the fire emergency and the firefighters’ location, heart rate, oxygen levels, and temperature.
Challenges to Overcome:
The scenario at present is at the cusp of many use-cases becoming a reality. As always, the newer technologies need several fixes and refining during initiation, which are detected when subjected to experimentation. Considerations like the product’s weight, robustness, reliability for the frontline of work. There exist infrastructure, data management and security, and connectivity issues to deliberate. The advent of 5G and edge computing is set to bridge the gap between the organizations within emergency services and resolving these potential issues. Edge computing enables renewed methods of gathering, analyzing, and redistribution of data. With edge computing, the processing of data at the edge is possible. It decreases the strain on the cloud infrastructure, therefore helping the users to be more selective of the data they want to send to the network core.
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