patent by Qzense Labs from shark tank india explained in detail

Summary

This video script delves into the innovative technology presented by Cues and Labs Private Limited on 'Shark Tank India.' It highlights their patent application (2021/4104/0699) for a device that uses sensors and IoT to detect the freshness of food commodities. The system transmits data to a cloud server, which employs AI to predict food quality, potentially revolutionizing food storage and wastage reduction. The script also explores similar applications of AI in various fields, emphasizing the broad implications of such technology.

Takeaways

• 😀 The video discusses a company named 'Cues and Technologies' that pitched their product on 'Shark Tank India'.
• 🔍 The presenter has reviewed the patent application with the number 2021 4104.0699 to explain the innovation in detail.
• 📚 The patent application details a system and method for detecting the quality of food commodities using sensors and IoT modules.
• 💡 The device described in the patent can determine the freshness of food items by detecting gases and other substances through its sensors.
• 🌐 The data collected by the sensors is transmitted to a cloud server via an IoT module for analysis.
• 🤖 The cloud server utilizes a machine learning algorithm or neural network model to predict the freshness of the food based on the sensor data.
• 📈 The system can generate a heat map of a storage area to indicate the freshness levels of food items at different points.
• 📝 The patent application includes claims that define the scope of the invention and what it aims to protect.
• 🔑 The video provides an overview of how to read and understand a patent application, including the abstract, claims, and complete specification.
• 🚀 The presenter suggests that if the patent is approved and implemented, it could be a game-changer for food storage and waste reduction.
• 🌟 The video concludes by emphasizing the potential of such technology to be extended to various applications and the importance of patent filing for innovative products.

Q & A

What is the main focus of the video script?

The main focus of the video script is to explain the patent application filed by a company called Cues and Technologies for a product that detects the quality of food commodities using sensors, IoT, and cloud-based AI.

What is the patent application number mentioned in the script?

The patent application number mentioned in the script is 2021 4104.0699.

What does the patent application by Cues and Technologies aim to solve?

The patent application aims to solve the problem of determining the freshness of food items by using a device with sensors and IoT to transmit data to a cloud server for analysis and prediction of food quality.

How does the device described in the patent application work?

The device works by using sensors to detect the presence of gases and other substances like water vapor molecules in food commodities. It then transmits this data to a cloud server via an IoT module, which uses AI to predict the freshness of the food item.

What type of algorithms or models does the cloud server use to predict food quality?

The cloud server uses machine learning algorithms, neural networks, or other AI-based predictive models to analyze the sensor data and predict the quality of the food commodities.

How is the information from the device presented to the user?

The information is presented to the user through a display unit, which shows the predicted quality of the food commodities and the location information.

What is the significance of the patent application in the context of food storage and waste reduction?

The patent application is significant as it can help in reducing food waste by accurately predicting the freshness of food items, thus allowing for better management of food storage and reducing the amount of perishable food that is thrown away.

What are some other applications mentioned in the script that use a similar approach of sensors and cloud-based AI?

Some other applications mentioned in the script include Google Lens, driver behavior monitoring, drone image capturing for environmental analysis, and sensing glasses for sign language interpretation or aiding visually challenged individuals.

How can the patent application be beneficial for businesses or industries dealing with food storage?

The patent application can be beneficial by providing a technological solution to monitor and predict the quality of stored food, helping businesses optimize their inventory management, reduce spoilage, and improve overall efficiency.

What is the process of reading and understanding a patent application as described in the script?

The process involves reading the complete specification, understanding the abstract for a summary of the invention, examining the claims for the scope of protection, and reviewing the drawings and detailed description for a comprehensive understanding of the invention.

What is the potential impact of the technology described in the patent application on the food industry in India?

The technology has the potential to revolutionize the food industry in India by addressing storage problems, reducing food waste, and providing a means to accurately predict the shelf life of food commodities, thus improving resource management and sustainability.

Outlines

00:00

🤖 Introduction to Cues and Technology's Pitch in Shark Tank India

This paragraph introduces the topic of the video, which is to delve into the details of Cues and Technology's appearance on the Indian version of Shark Tank. The company presented their innovative product designed to assess the quality of food items. The speaker encourages viewers to watch a previous video for a basic understanding of the company and its pitch. The focus then shifts to a patent application (number 2021/4104/0699), which the speaker has explored in the patent database. The intention is to explain the significance of this patent and its potential impact as a game-changer in today's world.

05:02

🔍 Exploring the Patent Application and Modern AI-Driven Technologies

The speaker discusses the process of examining the patent application, highlighting the importance of understanding the complete specification and drawings to grasp the invention's essence. The patent application details a system and method for detecting food quality using sensors and an IoT module that transmits data to a cloud server. The server employs machine learning to predict the freshness of the food item based on the detected gases and substances. The paragraph also draws parallels with other AI-driven applications, such as Google Lens and driver behavior monitoring systems, illustrating the growing trend of devices capturing data for cloud-based analysis and prediction.

10:03

📈 Understanding the Claims and Predictive Capabilities of the Patent

This paragraph delves deeper into the patent's claims, explaining the system's components and their functions. The device is described as having sensors that detect gases emitted by food, which are then transmitted to a cloud server. The server uses AI to determine the concentration of these gases and predict the food's quality, outputting this information to a display unit. The speaker also explains how the device can be used in a storage environment to generate a heat map, providing a visual representation of food freshness levels within the storage area.

15:04

🌟 Potential Impact and Broader Applications of the Invention

The final paragraph discusses the broader implications and potential applications of the invention. It emphasizes the importance of reducing food waste, a significant issue in India, by predicting the remaining freshness of food items. The speaker suggests that if the patent is approved and implemented, it could revolutionize food storage management. The paragraph also touches on the simplicity and clarity of the patent's description and encourages viewers to explore the complete document for a comprehensive understanding. The video concludes by highlighting the potential for such technology to be developed into viable business ventures.

Keywords

💡Shark Tank India

Shark Tank India is a reality TV show based on the American series 'Shark Tank', where entrepreneurs pitch their business ideas to a panel of investors, known as 'sharks', who may choose to invest in the business. In the context of the video, it refers to the platform where the company Cues and Technology presented their product, aiming to attract investment.

💡Patent

A patent is a form of intellectual property that gives its owner the legal right to exclude others from making, using, or selling an invention for a limited period of time. In the video, the patent is central to the discussion as it outlines the innovative aspects of the company's food quality detection technology.

💡IoT Module

An IoT (Internet of Things) Module refers to a hardware component that allows devices to connect to the internet and communicate with other devices. In the script, the IoT module is a key component of the device presented by Cues and Technology, used to transmit data about food freshness to a cloud server.

💡Machine Learning

Machine learning is a subset of artificial intelligence that enables computers to learn from and make decisions based on data. In the video, the cloud server uses a machine learning algorithm to predict the freshness of food items based on sensor data collected by the device.

💡Neural Network

A neural network is a type of machine learning model inspired by the human brain that is capable of identifying patterns in data. The video mentions neural networks as the underlying technology that may be used by the cloud server to analyze food quality.

💡Sensors

Sensors are devices that detect and respond to some type of input from the environment. In the context of the video, sensors within the device detect the presence of gases and other substances emitted by food, which are then used to determine the food's freshness.

💡Cloud Server

A cloud server is a virtual server that is hosted on a public or private cloud infrastructure. In the video, the cloud server is where the data from the sensors is processed using AI to predict the quality of the food commodities.

💡Food Quality Detection

Food quality detection refers to the process of determining the freshness or condition of food items. The video's main theme revolves around a device that uses sensors and AI to detect the quality of food, which is crucial for reducing food waste.

💡Heat Map

A heat map is a graphical representation of data where values are represented as colors. In the script, the device is capable of generating a heat map to visually represent the freshness levels of food items in storage, helping to identify perishable items quickly.

💡Artificial Intelligence (AI)

Artificial Intelligence refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The video discusses how AI is used in the form of predictive models to analyze sensor data and predict the quality of food items.

💡Gaseous Concentration

Gaseous concentration refers to the amount of a particular gas present in a given volume. In the context of the video, the device detects the concentration of gases like ethylene and carbon dioxide, which are indicators of food freshness, and this data is used by AI to predict food quality.

Highlights

Introduction to the company Cues and Technology and their pitch in Shark Tank India.

Explanation of the patent application number 2021 4104.0699 and its significance.

Description of the system and method to detect the quality of food commodities.

Details on the device with exhaust fan, sensors, IoT module, and food stack for freshness detection.

How the device detects freshness through sensors and transmits data to a cloud server.

Cloud server's role in predicting food freshness using machine learning algorithms.

Comparison with other applications like Google Lens and its operation mechanism.

Examples of similar applications including driver behavior monitoring and drone image capturing.

Introduction of sensing glasses that can interpret sign language and assist visually challenged individuals.

Discussion on the increasing trend of patent applications involving cloud servers and AI.

Explanation of how fitness trackers like Apple Watch use sensors and AI to monitor activities.

Guidance on how to read patent claims to understand the scope of protection.

Details on the system claims, computing system, and method claims within the patent application.

Description of the sensors' role in detecting specific gases emitted by food commodities.

Process of transmitting sensor readings and location information to a cloud server for analysis.

How the cloud server uses AI to determine gaseous concentration and predict food quality.

The capability of the system to generate heat maps for storage conditions and food perishability.

Potential impact of the technology in addressing food storage problems and reducing waste.

Encouragement for viewers to explore the patent application and consider its business viability.

Transcripts

uh hi everyone

welcome back

today i am here to explain you in detail

like uh what exactly uh the company cues

ends uh the company cuisines technology

which came to shark tank india to pitch

for their product

now uh if you want to know in detail you

want to watch the video

you can go to my previous video and you

can see i have shown you like what

exactly cues and technology they are

doing

and how they pitched for their product

in front of the sharks

in the so shark tank india

okay so now

i have so in go through this

patent database and i have a searched

further application

i want to explain you in detail like

what exactly they have done and how this

patent it can be a game changer

in today's world

so if you see their application their

application number is

2021

4104.0699

okay

so you the application number is see if

i click over here

uh then this will open me to a new

window

okay so here i can see uh

see

what all documents they have uploaded

for their application

okay so it's taking some time to load

but i had previously loaded this

so this is what it will come okay so now

you can go to complete specification

okay see it has loaded

cues and labs private limited okay

if you go to view documents it will show

you the list of this document i have

already opened it in a new window

so

you can go through this complete

specification

and the drawings okay this complete

specification and the drawings you can

get a gist of like what exactly and they

have done

so

this is the complete specification that

i have opened

okay so if you go to the top you can see

this is form2 which is the complete

specification

so it discloses system and method to

detect quality of a food come in food

commodity

okay

so if you go towards the end you can see

abstract

now this abstract it will give you a

summary of their invention like what

exactly they have done

and before that abstract

you can see the claims

that they have claimed their product is

doing

their composition and all

based on these claims

the invention it will be given a

protection

okay so just as like a boundary you have

a home and uh based on that boundary you

are given protection of your house

from the municipality or from the from

somewhere you are registering your land

so based on these claims the patent will

be granted protection

okay so this is the set of drawings if

you click on drawings here

so this will show the drawings

you can pause this video and you can

note that application number it's 2021

41040699

okay

so now what they have done basically is

this is their device

so that device it has exhaust fan it has

sensors

and there is a iot module and

food stack is also there

so when this device it is put on the

food item

so it will detect the freshness of the

food item okay

so basically what you see this is the

device

this is the food as you put the device

on the food inside a warehouse

you can know the freshness of a food

item so

the

condition of the food the device will

detect through its sensors

and

it will use the iot module to transmit

this data

over a network to the cloud server

now

what essentially is happening the sensor

will detect

the

amount of gases and other other

substances other your chemicals like

water vapor molecules and all this and

it will the sensor will detect this and

based on this data

the cloud server it will make a

prediction of how fresh your food item

is okay so how this cloud server is

doing this

so the cloud server

it runs a machine learning algorithm or

a neural network model

or it can run any type of you know this

machine learning network machine

learning techniques algorithm

and based on these receive parameters it

will make a prediction okay this food is

seven days old it's 10 days old now it's

it is perishable it has to be finished

up like whatever it will make a

prediction

and the user device it can monitor this

okay

so

these days a lot of patent application

is being filed

through this uh you know through this

model

uh like you have a cloud server the

cloud server runs ai program

uh there is some device the device

senses

something some parameters and the cloud

server makes a prediction

and the result you can view it on a

dashboard or the user mobile

okay some of the similar applications

you must have heard of google lens

in google lens you just

you know you scan the image or you take

an image

and

this like here you your mobile it takes

an image and this image is transfer

transmitted to the google cloud server

and this google cloud server it

identifies like you know what uh what

image you have uploaded similarly there

are so many other applications

okay one of these applications is us2021

028056 a1

guys if you want to see this application

you can note this number

just go to

patents.google.com you can search for

google patents and then you just enter

this application over here you can see

this

application it's very easy

so

this application is driver behavior

monitoring okay so

like

you know there are various

see if you go through these claims you

can find

like uh they will capture some of the

parameters related to the driver okay

through a camera or something some other

device they will capture

the parameters related to driver

and then they will send it to a cloud

server

the cloud server runs the machine

learning model

and you know then you can know about the

driver like how the driver is driving is

it driving correct or not whether the

driver is at a fault on all this thing

so they tell that in

our

you know in uber and all this

you know this uh

cab aggregators they

use this algorithm and along with the

feedback model of the user

they give the driver a certain rating

and based on this rating rights are

allocated to a driver

so

this is one of the uses

of this

then there can be an another use

like drone you have drones drones can

take images okay your drones they can

capture images and uh they can transmit

this data

to a

machine learning you know

it's a server or something machine

learning server

uh

sorry a server that runs your some

machine learning algorithm or a neural

network and they can make certain

predictions like uh water is present or

this is a forest or forest is catching

fire

and all this thing similarly uh there is

another thing like sensing glasses okay

this is the application number if you

want you can note it you can see this

application you can also note this drone

uh application number

you can pause this video take a

note of this application and if you want

you can search it in google patterns to

mod no details

so sensing glasses like you can wear a

glass

okay and

your glass it will take these images

and it it can recognize and interpret

sign language and present a translated

information to a user

of the mixed reality device

so

you can you can extend like these

glasses they can be also made for a

visually challenged person

so if a person is visually challenged

and you present him a glass of this kind

so if he wears that glass the glass if

he can identify objects and he can you

know

let a visual visually challenged person

know that okay ahead you have this

subject that object you can give up

you can give a sense

so a lot of applications they are being

filed where you have some sensors or

some you know image capturing device and

all

and they simply collect the inputs and

they transmit it to a cloud server and

the cloud server it displays it on the

result it displays on the user device

now many of you must be using you know

this apple watch or fitbit or you know

noise uh noise watches and all there you

have a feature like the watch can

automatically it detect whether you are

doing any exercise or whether you are

sleeping or whether you know you are

walking or you are

reading

you are doing yoga and all these things

how the watch is doing

so it monitors your pulse okay so there

also you have a sensor it monitors your

pulse

and it captures some other parameters

then it you know

when it senses and it transmits it to uh

your network and the network it uh it

runs it on a cloud server

the cloud server it runs a machine

learning algorithm or a neural network

and then it makes a prediction and on

your device you can then see like how

much time you exercised how many how

much time you are sleeping

what was the level of sleep like how

many how much time you are in a deep

sleep how much time you were in a light

sleep and all this thing

so basically this thing what you are

seeing uh this has been implemented in a

lot many applications

and it's very useful so

this application uh it's it can be quite

useful and you can extend it to many and

many

uh products so now

i'll show you how to read claims okay so

see

the claims have there are there is a

system okay this is a system claim

okay so you have see these all are the

system claims

okay and then you have again another

computing system this computing system

it is it is a set of computer program

instructions so this will be this

computer program

it's a it would be a machine learning or

artificial neural network

or some other thing that can make

predictions

okay

and then you have a method claim

these all are your method claims

so

if you go through these claims

reading a patent application it's quite

uh simple and like you did not know

uh you know you need not know something

in depth because the applicant would

have disclosed the best method of

carrying out the invention okay so now i

am showing you how you can read this

application

okay your application number is 2021

4104.0699

okay if you go to this in pass

this database you enter this application

number you can see this

okay so now see what it is disclose an

array of one or more sensors housed in a

casing okay inside a casing there are

one or more than sensors

and one or more sensors are in proximity

with one or more food converted

commodities okay so these sensors are

inside the casing which is near to these

food commodities

what what this area furnace sensors is

doing it detects the presence of one or

more gas or sensor reading okay so these

sensors they specialize sensors to

detect the presence of gases okay this

gas can be ethylene carbon carbon

dioxide oxygen ammonia hydrogen sulfide

dimethyl sulfide and trimethylamine

these are the gases which are which are

you know which are

which are given out by these food

commodities okay so this will transmit

transmit the detected presence of one or

more gases at the sensor reading and a

location information associated with one

or the more sensors to a cloud server

okay so the detected presence of the

whatever the presence of the gases are

being detected by the sensor readings so

this will be transmitted to a cloud

server

okay what now the cloud server

communicatively coupled to one or more

sensors by network where the cloud

server is configured to now what the

cloud server will do

it will detect the presence of more gas

as a sensor reading okay so sensor

readings

it will cloud server will read and the

location information it will take

and it will use this sensor readings and

location information

and then it will determine the gaseous

concentration that is associated with

one or more gases in the sensory okay

what is the concentration of gases is

there

by using an artificial intelligence

based predictive model okay so at this

artificial intelligence based predictive

model we will determine the gaseous

concentration which is associated with

the sensor readings

okay now what it will do further it will

predict the quality of the food

commodities okay

and then it will output the quality of

predicted commodities and the location

information to the to the display unit

so the display unit can see

okay

so now there are exist fans and like

there are multiple points inside the

storage this casing is positioned as

multiple points inside the storage okay

so inside your storage you put it you

put the device over that

and now these sensors are also

configured to detect the presence of

humidity of the storage you can also

detect the humidity and the temperature

value of the

storage and then you generate a heat map

okay heat map corresponding to the

storage based on pre-stored layout

information of the storage okay so you

all have you all must have seen you know

heat maps

uh that

in the stocks you see see heat maps if

you see

uh

it will generate a heat map like which

all you must have seen heat maps okay

they will be they will come displays

like this

so you give some color coding based on

the location so that you can know which

all vegetables and fruits they are

perishable so that you you can you know

use it as soon as possible

okay so now you classify this sensor

readings into one or more type of

gaseous concentrations

so

uh this is what this application is

doing so the clouds are

so you can also see gases concentration

match with pre-stored levels so these

are some of the general features that

has given

which have been told and the

author intends to explain this in more

and more detail

so

then further you generate food quality

scores for each of the determined gases

concentration based on generated

artificial intelligence waste predictive

model

quite simple you are generating food

quality

scores based on the ai model okay so now

you predict the quality okay so then you

have a computing system

your computing system it has your data

capturing system

it obtain presence of one or more gases

and there is a food quality analyzing

subsystem you determine the gaseous

concentration

associated with one or more gases

readings and then you predict this food

quality okay so these all things they

have been covered

now there is a method which is

associated with with the system of claim

10

sorry your

method

method of sorry i told

okay

a method for detecting quality of a food

commodity okay

so this is a method which is associated

with this computing system

so uh this method also they also

disclose these features

so you have you know now there are three

things they are claiming

they are claiming a system and then they

are further claiming another computing

system and then they are claiming a

method

so this is a quite simple application

but if it is approved and it is used

this can be a game changer because we

don't have you know there is two storage

problems in india

so

the food much of the foods

or the vegetables they are not able to

we are not able to uh you know

use it and instead it is thrown away

because uh

foods are perishable items but

if this application

yeah if it can be used then you can

predict the like you know predict how

much time you have with a food item

and like you can determine like okay

these many days are present so the food

needs to be used as soon as possible

and if you want

you can

go through this complete description

so you can go through the drawings you

can go through this complete description

it is quite simple and lucid

and these all things they have been

greatly explained in this complete

description

if you want to know the summary you can

read the abstract if you want to know

the scope of protection you can read the

claims

and just go through the complete

description

to know more and more and

this is a very

simple i mean simple but yet useful

product

and it can be extended to many other

things like i showed you about drones

and i showed you about sensing glasses

even google lens also it's the same

thing

and

you can see driver behavior monitoring

also

okay so i think uh

you got a lot of you got some idea about

like how you can

develop some product

and uh if you can develop the product

you can also file patent and if it is it

business viable

so it can be turned into a great

business as well okay so thank you for

watching this video

i hope you found the video useful and

you appreciate this thank you very much