Advantages And Disadvantages Of Wvls

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The service industry has already felt the impact of wearable technology from its use of WVLs to free up workers’ hands. For example, service technicians can receive real-time information about a job over WVL displays while carrying out a service, which can increase accuracy and performance. The AR-enabled WVLs such as Atheerglass can be also implemented to visually help technicians identify and repair problems through a live collaborative operation (see Figure 3b).12 WVLs can also be used to document procedures undertaken by technicians for training and verification purposes.12 In one example, CSIRO in Australia developed a WVL-based application, guardian mentor remote (GMR), which remotely connects technicians with aviation experts around…show more content…
For example, in big warehouses, an operator wearing an eyeglasses-based camera can efficiently pick or stack items, based on a plan displayed on the device’s screen, which saves both physical space and time. The same technique can be used for freight loading and drop off.
WVLs can be also used to estimate the number of visitors to large exhibitions. For example, a head-mounted camera has been used to approximate the number of attendees at exhibitions by using an algorithm. Many industries could also use WVLs for online customer service feedback. For example, a camera-clad passenger flying an airline can visually document and report customer service issues, such as unclean toilets, rude staff, delayed departures, or other inappropriate conditions.
Police and Military
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For example, researchers have used a mathematical framework that benefits from the spatial relationships between places to estimate location from a sequence of images captured by multiple wearable cameras.15 The images recorded via WVLs can be also used to reliably recognize places. In addition, an image-sequence–matching technique can be used to recognize the locations of previously visited places.
Activity Recognition
Human-activity recognition is a key component for many applications such as indoor positioning, surveillance systems, and patient-monitoring systems. It is also important for various systems that involve interactions between people and electronic devices, such as socially enabled robots and human–computer interfaces. Wearable cameras can facilitate human-activity recognition in such scenarios.16 For example, researchers have developed a method that can recognize the user’s activity by analyzing the picture captured by a front-facing acamera embedded in eyeglasses.17

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