hi can any body update about this
or share contact info of office/ph.no/e-mail and approx prising of product

regards
 ishan jain





On Mon, Apr 5, 2021 at 11:19 PM Ronald Jason Escrader <rjescra...@gmail.com>
wrote:

> Hi Access Indians,
>
>
>
> *Intel Engineers have developed a voice-activated wearable system that can
> track obstacles in real-time and describe a person’s surroundings.*
>
> *What does the visual system look like?*
>
> *This new visual assistance system is made up of several components that
> can be worn without much more bulk than you might already be wearing
> whenever you leave the house. It’s just a vest or fanny pack, a backpack
> and a pair of earphones. The team says that hiding the electronics was a
> key goal, so users don’t look like cyborgs walking down the street.*
>
> *How does it work?*
>
> *The vest or fanny pack are packing a series of cameras, a 4K camera that
> provides colour information, and a pair of stereoscopic cameras that map
> depth of field. This visual information is then fed to the brains of the
> operation, stashed in the backpack.*
>
> *There, a computing unit like a laptop or Raspberry Pi runs an AI
> interface called OpenCV’s Artificial Intelligence Kit with Depth (OAK-D),
> which uses neural networks to analyze the visual data. It also contains a
> portable battery that provides up to eight hours of use, and a
> USB-connected GPS unit.*
>
> *The crunched visual data is then relayed via Bluetooth to a pair of
> earphones, letting the user know what’s around them. It can warn of
> obstacles of different shapes, sizes and types, and declare where they are
> in relation to the user, using descriptors like front, top, bottom, left,
> right and centre.*
>
> *What features are included in the system?*
>
> *The system can inform someone walking down the street that they’re
> approaching a trash can on their “bottom, left” or a low-hanging branch
> with “top, centre.” Tripping hazards like curbs or stairs can be spotted as
> changes in elevation, and the system can even recognize key things like
> Stop signs or crosswalks as they approach a corner.*
>
> *Users can also issue voice commands to ask for more information. Saying
> “describe” will make the system respond with a list of what’s around them
> and where, such as “car, 10 o’clock,” “person 12 o’clock,” and “traffic
> light, 1 o’clock.”*
>
> *Specific places can also be saved for future reference with commands like
> “save location, coffee shop.” Later, when you want to get back there, the
> user can say “locate coffee shop” and the system will give directions and
> say how far away it is.*
> Is there an expected release date?
>
> *It’s still early days, but the team hopes to fast-track the system by
> making the project non-commercial and open source.*
>
> *The system can be seen in action in the video below.*
>
> Source: https://www.youtube.com/watch?v=-FihdBhhHiM
>
> Source:
> https://newsroom.intel.com/news/intel-ai-powered-backpack-helps-visually-impaired-navigate-world/#gs.xhlhas
>
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Disclaimer:
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through this mailing list..


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