Diet Management
Explanation:
This use case would combine an in-body sensor that could measure key nutritional parameters about the user (above) with a cloud-based service that could analyse those parameters to provide feedback to the user about what they should be eating.
If it were possible for an in-body sensor to send a semi-real time report into the cloud about the user’s diet – because it could measure those key parameters directly – then the user could chose to make this data available to a third party service provider for analysis.
The service provider would then be able to make recommendations as to what the user should buy when at the supermarket – the user’s location would be used by the service to determine when the user was in a food shopping mall.
Furthermore, the same service could make recommendations for a personal or family-optimized menu at mealtimes. Because the service would know whether they user had any mineral or other deficiencies or excesses, then a suitable menu could be recommended. This could be in the form of tablet supplements or just a recommendation like “How about salmon tonight – you should have some in the freezer?”
Use Case 3: Car Insurance
Sector size: The gross value of the worldwide motor vehicle insurance industry will be about USD 500 billion in 2014.
One of the biggest costs of an insurance company lies in the processing of insurance claims.
If a user was wearing a suitable pair of smart glasses, which might be required for navigation purposes anyway, then those glasses would be able to record the entire journey using a roiling window to minimise data storage requirements. This would mean that any accident could be recorded on video. The same pair of smart glasses could also record exactly what the user was looking at at the time of the accident, as well as other information such as speed.
Far more interesting would be what happens if an in-body sensor (above)were to be combined with such a pair of smart glasses. In this case, it would be technically possible for the insurance company to determine if the user was driving after a lack of sleep (because the sensor would monitor sleeping patterns) or if the user’s blood contained too much alcohol.
If such technology were to become available then we think that users who were willing to use the technology - which would offer many positive benefits - would enjoy significantly reduced car insurance premiums.
The flip side of this would be that those who refused to use the technology would face higher premiums and so, in this way, the market would price the technology so it became part of everyday use.
Use Case 4: Police and Security
It is interesting to think what might become possible if smart glasses are combined with police databases and facial recognition software.
We are not too far from the point when a police officer could user a pair of smart glasses to automatically obtain information about a person that was within the officer’s field of view – simply by asking or by setting a default.
This could be possible in real time as a police officer was speaking to a person with the resulting information being projected onto the officer’s field of view.
The smart glasses could take a picture of that person and send it to a cloud-based police service where facial recognition technology would match the picture with an entry in a police database. The police office might not know who he was taking to but this technology would be able to alert the officer if the person was a suspect in an in ongoing case, had a criminal record or, hopefully in most cases, had no police history at all.
Thinking a stage further ahead, then we can foresee the facial recognition camera technology that is already installed at most security gates at airports being integrated into smart glasses, so that a police officer walking down a crowded street would automatically be alerted to the presence of a suspect walking towards him.
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