ALIVEAN

greetings ladies and gentlemen

i would like you all to put your phones

aside for just one minute

and close your eyes and i want you to

picture something

that you really cherish a walk in a pub

stroll on the beach laughter of your

children

or maybe something you really enjoy

during the beautiful lunch you just had

now why are you picturing that image

in your head with your eyes closed i ask

any one of you

to get up from your seat and make it all

the way to your kitchen

without hitting any obstacles in the way

it

seems a little bit difficult at least

for majority of us

what you just experienced are the lives

of

285 million visually impaired

in the world my vision is to enable the

light of tomorrow

to allow them to see with the help of

their ears

and mouth but the question arrives

how i’m looking and developing assistive

technology

to help the visually impaired i’m not

here to replace

walking sticks or dining dogs no i need

to work complimentary to them

we basically want to increase the kinds

of information

that they can attain about their

vicinity with the help of our software

ladies and gentlemen i present to you a

live

the vision of tomorrow with the help of

our glasses we are capable of taking in

visual information

right around us and converting it into

audio information with the help of our

software

and then presenting it to our users

through any of these

and how exactly we do the seamless

processing of information

and what kinds of information will be

provided

well that brings me to the first feature

a live detect now a typical image

classifier would require you to take a

picture of something wait for about five

to ten seconds

and then tell you what you’re looking at

but

we wanted to be instantaneous which is

why we created

real time classification what it

basically means is that

when a person walks into the room points

its camera it will instantly start

recognizing objects

and one with the highest probability

will be spoken out

and this basically helps reduce the

chances of them colliding into the

objects

and help them understand what’s laid out

in the table without actually having to

touch anything now

while alive and can identify objects we

want to make it more

personalized and that’s why we

incorporate machine

learning which means after scanning

let’s say

your t-shirt it will no longer find

identify it as

t-shirt but as your white

t-shirt let me show you an example if

you look at the screen over there

the first image is of a highlight and

it’s identified as a heart but if you

look at the orange highlight over there

we trained alive to identify it as

brittle’s orange highlight

and the same thing could be applied to

t-shirts in your wardrobe

faces of your friends or medication when

we talk about

older generation and there are millions

of users

but you can add your own belongings to

your own personal library

making each product personalized

what makes the conversation live of

course the content and

i’m the visual cues i might say i’m fine

all right and i’m fine

i thought about this and that’s exactly

why i created the third feature

emotion senses it basically gives the

user information

about the happiness and so and when the

person is talking

it’s constantly tracking their face and

if the person is smiling elijah will

increase the happiness ratio

and our user will get to know how the

person is reacting to what they’re

saying

in the future we are planning on

developing our

own virtual assistant named olivia

olivia

will be your own personal assistant

controlled by voice comments and you’ll

be able to access every single feature

that i have mentioned previously

and secondly indoor map well

my goal is to have a live game talk to

you

like a gym and when you ask a librarian

how to get from point a to let’s see

your kitchen

it will tell you exact number of steps

and directions together

so you will say little this is just

another tech product what i’m presenting

in front of you

no my friends this is not just a product

this is a thinking

which is very near to my heart and most

of the products are not designed in

keeping

the challenging visually impaired in the

mind

i want to make this into movement we

want to start a movement which is

help visually impaired in the long run

ladies and gentlemen we have

learned to make a change we need to take

everyone along we have

learned that these technologies are not

just reserved for googles and test laws

and apples of the world

but for everyone i invite you to a

change

to be part of this movement to change

the lives of visually impaired

i invite you to allah

this was predominate and that was my

time thank you

问候女士们先生们,

我希望你们把手机

搁置一分钟

,闭上眼睛,我想让你们想象

一些你真正珍惜的东西在酒吧

散步在沙滩上散步你的

孩子的笑声

或者你的东西 真的很享受

你刚刚享用的美味午餐

为什么

你闭着眼睛在脑海中想象那个形象 我请

你们中的任何一个人

从座位上站起来,

一直到厨房,不要在厨房里

碰到任何障碍物

至少

对我们大多数人来说

,这似乎有点困难你刚刚经历的是世界

2.85 亿视障

者的生活我的愿景是让

明天

的光芒让他们借助

耳朵

和嘴巴看东西 但问题来

了 基本上是想在我们的软件女士们先生们的帮助下增加

他们可以获得的关于他们

附近的信息种类

我向您展示

明天的愿景在

我们的眼镜的帮助下我们能够在周围获取

视觉

信息 我们并

在我们的软件的帮助下将其转换为音频信息

,然后通过其中任何一个将其呈现给我们的用户

,以及我们如何准确地

对信息进行无缝处理

以及将提供哪些类型的信息

,这使我想到了第一个功能

实时检测现在一个典型的图像

分类器需要您

拍摄某物的照片,等待大约 5

到 10 秒

,然后告诉您您在看什么,

我们希望是即时的,这

就是我们创建

实时分类的原因

基本上意味着

当一个人走进房间时,

它会指向它的摄像头,它会立即开始

识别物体,

并且一个最高的 概率

会被说出来

,这基本上有助于减少

他们碰撞到物体的机会,

并帮助他们理解

桌子上的内容,而不必

在活着的时候实际触摸任何东西,并且可以识别我们

想要使其更加

个性化的物体,那就是 为什么我们

结合机器

学习,这意味着在扫描后

假设

您的 T 恤将不再

识别为

T 恤,但作为您的白色

T 恤,让我给您举个例子,如果

您看那边的屏幕

第一张图片 是一个亮点,

它被识别为一颗心,但如果你

看看那边的橙色亮点,

我们经过现场训练,将它识别为

脆性的橙色亮点

,同样的事情可以应用于

你的朋友或药物的衣橱面孔中的 T 恤 当

我们谈论

老一代并且有数

百万用户时

,您可以将自己的物品添加到

自己的个人图书馆中,

使每个产品都个性化

让对话变得生动,

当然是内容,

我是视觉提示,我可以说我

很好,我很好

关于幸福等等,当这个

人说话时,

它会不断跟踪他们的脸,

如果这个人在微笑,以利亚会

增加幸福率

,我们的用户将了解这个

人对他们未来

所说的话的反应

正在计划

开发我们

自己的名为 olivia 的虚拟助手

olivia

将成为您自己的

由语音评论控制的个人助理,您

将能够访问

我之前提到的每一个功能

,其次是室内地图,

我的目标是拥有一场现场游戏

像健身房一样和你说话,当你问图书管理员

如何从 a 点到让我们看看

你的厨房时,

它会告诉你确切的步数

和方向,

所以你会说 很少,这

只是我在你们面前展示的另一款科技产品

不,我的朋友们,这不仅仅是一款产品,

这是一种

非常贴近我内心的想法,

大多数产品的设计并不是为了

让有挑战性的视障人士 在我的

脑海中,

我想把它变成运动 我们

想发起一个运动,

从长远来看可以帮助视力受损的人

女士们,先生们 我们已经

学会了做出改变 我们需要让

每个人都一起 我们

了解到这些技术

不仅仅是 保留给谷歌和测试

世界的法律和苹果,

但对于每个人,我邀请你

做出改变,成为改变

视障者生活的运动的一部分