Just a  student project. Don't have any expectations out of it. I saw this
sort of device 5 years back and haven't heard anything after that.

Nirmal

On Sun, 20 Feb 2022 at 21:45, ishan sangi <jsiya1...@gmail.com> wrote:

> 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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-- 
Nirmal Verma
State Consultant (Inclusive Education Policy and Practice)
Samagra  Shiksha,
State Project Office, Uttar Pradesh, Vidya Bhawan, Nishatganj Lucknow 226007

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