The enterprise segment for augmented reality (AR) devices like smart glasses is maturing rapidly and is a viable source of business here and now for your smart glasses business. You and your competitors in AR are looking to stake your place in this segment in 2022 by making your products more attractive for specific apps and industries. Video performance can be a key enabler here while also differentiating you from the competition.
Taking a closer look at industry smart glasses use cases, you’ll see that there are several scenarios that demand excellence in video stabilization. In addition, you can’t afford to compromise too much on battery power when improving video quality, and advanced movement estimation algorithms can help support your next steps with SLAM.
Real-time collaboration use cases that demand best-in-class video stabilization for smart glasses
Real-time collaboration with AR smart glasses is already adding great value in the enterprise sector today with more growth potential going forward. Industries like manufacturing and field service are keen to enable remote experts to advise on-site staff over the video feed of smart glasses. But it’s hard to make that type of real-time collaboration work without effective video stabilization in such complex environments in which the wearer is moving around a lot.
As a result, enterprises have been increasingly pointing to the importance of a stable video experience for many of their smart glasses use cases centered around real-time collaboration. For instance, what about when a worker with AR smart glasses is climbing around scaffolding or repairing power lines while hanging from a helicopter? If the video feed from the smart glasses is shaky, it could be difficult for the real-time remote collaborators to follow.
Remote video reporting use cases that demand best-in-class video stabilization for smart glasses
Video recorded from smart glasses is not only consumed live. Video stabilization is also crucial for remote video reporting use cases in which enterprises store video from smart glasses as digital assets for future reference. These may include showing the condition of machinery at a given time or documenting the solution to an on-site problem for replication at other sites.
Flexible video stabilization tuning for optimized power consumption
Compared to smartphones and other cameras in motion leveraging video stabilization and live streaming, smart glasses are particularly sensitive to high power consumption. You can’t pack an enormous battery into compact smart glasses, and live streaming over 5G via video conferencing apps like Zoom and Microsoft Teams also takes a toll on the battery.
In enterprise use cases like the examples above, running out of power would be highly problematic. Time-critical repairs and other operations should not have to be put on hold to recharge the smart glasses. This is why flexible video stabilization tuning options are essential for optimizing power consumption while still maintaining the right amount of video stabilization power for specific industry use cases.
Empower SLAM with enhanced 360° video in smart glasses
In 2022, manufacturers are racing to integrate more advanced simultaneous localization and mapping (SLAM) capabilities into their AR smart glasses to empower the next generation of enterprise apps. To give SLAM algorithms the best possible data input and make SLAM-based apps more effective, multi-camera solutions are an interesting trend.
For instance, additional cameras could be placed on a vest worn in parallel with smart glasses or on the back of the smart glasses to capture video from more angles. But leveraging such multi-camera setups effectively to create a seamless 360° video experience can be a challenge for AR smart glasses manufacturers.
State-of-the-art movement estimation algorithms have a key role to play for maximizing the performance of 360° video in smart glasses. By estimating how each camera will move, video stabilization and other video enhancements can be tailored accordingly and correctly.
Video stabilization tailored to smart glasses for enterprises
With the industry’s most flexible tuning options, state-of-the-art movement estimation capabilities and advanced power efficiency optimizations, our video stabilization solution is tailored to enterprise use cases for AR smart glasses. Learn more about what to have in mind to succeed with video stabilization in smart glasses in our guide and don’t hesitate to contact us if you have any questions. For inspiration, insights and best practices for the next generation of video stabilization, enter your email address below and subscribe to our newsletter.
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