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Transcript

00:00Punjab University of U.I.E.T. has made a new technology to cut a new machine to a new machine.

00:12This machine has been called Grass Printer.

00:16To create this machine, Naveen Agarwal, who has been working with the team,

00:22has made a new patent for this whole project.

00:27Let's talk about the research and what kind of work.

00:33Sir, it is often seen that the machine of Grass is very normal.

00:39It is often working on the big grounds, to show a beautiful shape.

00:44Your project, your Grass Printer, is working on a unique way.

00:50First, tell us about where this idea has been developed and when you applied it for patent?

00:56So, this Grass Printer, we started our idea in 2018.

01:01Our idea was that the landscape of Chandigarh is a very big city,

01:05where we should focus on landscaping.

01:08We need a lot of labor for landscaping.

01:11Our idea was that the work in the landscaping,

01:14the workers are working on the labor.

01:15So, they can do it very easily.

01:16They can do it very easily.

01:17They will give us a mobile app.

01:18They will give us a pattern,

01:20whatever they want,

01:21whatever they want to print on the grass,

01:23they will give us a mobile app.

01:24And then, it can go to that place,

01:27with your GPS,

01:28latitude and longitude,

01:30go to that place,

01:31the grass cutter will create a pattern.

01:33So, in this way,

01:35the gardeners are using it,

01:39it will be easy for them.

01:40Otherwise,

01:41they will go to a very big stadium,

01:43or anywhere,

01:44they need to do a lot of effort,

01:46for putting a pattern.

01:48Now, they can select it from mobile app,

01:50and they will print it directly.

01:52You have told me that

01:54you have to create a design on a large grounds.

01:57In India,

01:58you have to write a gardener

01:59for it,

02:00and you have to spend a long time

02:01for it,

02:02and design it.

02:03But,

02:04only two people of the team

02:06can do this whole project

02:08for hours.

02:10And,

02:11if I talk about this whole project,

02:14how much time did you make it?

02:17And,

02:18until now,

02:19what kind of results do you have?

02:21In 2018,

02:23we started this project

02:24and,

02:25we started this project

02:27for 2 years,

02:28and we tested it for 2 years.

02:29We tested it on the university grounds.

02:30In the university,

02:31as I have shown you,

02:32we printed it.

02:34And,

02:35in 2020,

02:36we filed it.

02:37After 5 years,

02:39we got a patent for 5 years.

02:42And,

02:43now,

02:44this technology is ready,

02:45which can be transferred to any other company.

02:48Let's talk about

02:50what we have done.

02:51Because,

02:52as you said,

02:53it is working on a half-hour battery.

02:55And,

02:56artificial intelligence

02:57helps this whole project.

02:59So,

03:00what kind of battery package

03:02do you have?

03:03And,

03:04where can it go?

03:05And,

03:06what kind of artificial intelligence

03:07helps this project?

03:09What kind of artificial intelligence

03:11help you?

03:12When we were doing this project,

03:13we had the aim of

03:15that,

03:16whenever there is a pattern

03:17from a mobile app,

03:18they can move around,

03:20and they can check,

03:21and it will work independently.

03:22So,

03:23where did we start?

03:24Where did we start?

03:25Where did we start?

03:26Where did we start?

03:27There is a landscape,

03:28a stone that was made up,

03:29and there was a stone that was left there.

03:30So,

03:31we used AI

03:32to detect the obstacle detection

03:33so that they could change that path.

03:35Another thing,

03:36if someone has started it,

03:38then,

03:39after half an hour,

03:40they can come back to their own place.

03:42And,

03:43as soon as it will end,

03:44they will return back.

03:45So,

03:46when we put it on the right side,

03:47we have to take it off.

03:48So,

03:49when we give it a character,

03:50AI

03:51recognizes

03:52how the gas is,

03:53how the moisture is in the gas,

03:55is it possible with it?

03:57And,

03:58how much battery is it?

03:59What will it be done?

04:00And,

04:01after cutting it,

04:02it will start,

04:03where it will come.

04:04So,

04:05the gardener

04:06is not able to take it off,

04:07so that the gardener

04:08is not able to take it off,

04:09or to get it off.

04:10So,

04:11this is the main aim

04:12to use AI

04:13as well.

04:14So,

04:15there is a pattern,

04:16and then,

04:17you can forget it,

04:18it will print it,

04:19and it will come back

04:20to the original source point.

04:21If you talk about this grass printer,

04:23will it be only for stadiums,

04:25or will it help for any other industry?

04:28This grass printer,

04:30there are large lawns,

04:31large stadiums,

04:32where there are corporate lawns,

04:34where there can be used.

04:36Where we have to be landscaping,

04:38and beautification,

04:40and where we want

04:41to create a new pattern,

04:43or a complex pattern,

04:44which is good to see.

04:46So,

04:47there is a place where

04:48it is used.

04:49The most important thing

04:50is that,

04:51remember,

04:52you have prepared

04:53your project,

04:54but this project is

04:55built in a university,

04:56which has been built

04:57by students.

04:58But,

04:59when it comes into

05:00the industry,

05:01like you have told,

05:02about stadiums,

05:03or corporate lawns,

05:04you have to build

05:05the whole project.

05:06So,

05:07what are you thinking about

05:08the whole project?

05:10What are you thinking about

05:11the other models?

05:12What are you thinking about

05:13the other models?

05:14And,

05:15how can you use it?

05:16How can you use it?

05:19As I told you,

05:21the Punjab University

05:22has helped us

05:23to do this project.

05:24The Punjab University

05:26is also helping us

05:27to do a technology transfer workshop.

05:29in March,

05:30we are planning

05:31the technology transfer workshop.

05:32In March,

05:33we are planning

05:34the technology transfer workshop.

05:35And,

05:36accordingly,

05:37those who are interested,

05:38they can take our product.

05:39So,

05:40we want to make sure

05:41that any industry

05:42can bring it forward,

05:43that can take our technology.

05:44And,

05:45whenever we want to

05:46send any customer,

05:47we will give it

05:48after-sale service.

05:49And,

05:50we will provide

05:51the customer care service.

05:52And,

05:53we will provide

05:54some parts to change

05:55so we will give it

05:56in March.

05:57We are planning

05:58the transfer workshop.

05:59We will sell it

06:00to some industry

06:01so that

06:02they can make it

06:03large-scale marketing

06:04and they can sell it.

06:06Thank you so much.

06:07Thank you so much.

06:08This was Professor

06:09Navin Agarwal,

06:10who has told us

06:11that the

06:12grass cutting machine

06:14is always

06:15cutting.

06:16But,

06:17it takes time

06:18for beautification

06:19to guarantee.

06:20that

06:21the grass

06:22is very

06:23good.

06:24But,

06:25there is a

06:26such a printer,

06:27such a

06:28grass cutting machine,

06:29which,

06:30after cutting

06:31the grass,

06:32gives a smooth

06:33beautification

06:34to the grass.

06:35And,

06:36if there is

06:37something to add

06:38to it,

06:39or to write a name,

06:40then,

06:41in the right way,

06:42gives it

06:43a shape of

06:44artificial intelligence.

06:45so that

06:46the garden

06:47will become more

06:48beautiful.

06:49The research

06:50has been done

06:51from the U.I.E.T. Department

06:53and the

06:55only Professor

06:56Navin Agarwal

06:58did not

06:59but also

07:00the research

07:01in the right

07:02of the

07:03camera person

07:04Kishan

07:05with Nagma

07:06Singh's report,

07:07ETV,

07:08Bharat.

पंजाब यूनिवर्सिटी का "ग्रास प्रिंटर" बना स्मार्ट लॉन की नई पहचान, मोबाइल ऐप से होगा कंट्रोल

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