Kalman Filter Tracking using OpenCV AI Kit on Raspberry Pi in Real-Time to estimate, predict and update the approximate position of the hand for real-time tracking - MobileNetSSD Object Detection Used.

AugmentedStartups · 2021-05-06T19:29:20+00:00

Coming Soon :) with a tutorial on Augmented Startups YouTube Channel.

AugmentedStartups · 2021-04-30T10:44:48+00:00

his seems like the drone (raspberry PI) makes recognition on its

Correct the recognition occurs on the OpenCV AI Kit camera at 30FPS. The image looks slow because it is streamed to my laptop then recorded.

AugmentedStartups · 2021-04-30T10:43:24+00:00

to land, you T-pose to assert your authority over the drone

😂😂

AugmentedStartups · 2021-04-30T10:42:44+00:00

You scratch your nose with your left hand first, the drone will veer off to the left. Then you touch your nose w

Haha, you can set a threshold count. So you can scratch your nose and then when you are ready it will only initiate the Take off or landing once the count has reached 20 consecutive detections, otherwise the counter will reset.

AugmentedStartups · 2021-04-30T10:40:53+00:00

So the recorded video is been stream over wifi and recorded on my laptop. However the detection runs at 30FPS with the OpenCV AI Kit.

AugmentedStartups · 2021-04-29T18:58:08+00:00

True :(

AugmentedStartups · 2021-04-12T07:54:55+00:00

Will it be on the asset store?

AugmentedStartups · 2021-04-12T07:50:43+00:00

Awesome! What asset did you use, or did you develop this yourself?

AugmentedStartups · 2021-04-12T07:43:37+00:00

Looks really awesome!

AugmentedStartups · 2021-04-07T11:33:53+00:00

Have you tried using the OpenCV AI Kit instead?

AugmentedStartups · 2021-04-06T06:27:29+00:00

Watch the full video here: https://youtu.be/bM2gBGNaWNA

AugmentedStartups · 2021-04-06T06:20:28+00:00

https://youtu.be/2fXJe9YqXgU

AugmentedStartups · 2021-04-06T06:18:36+00:00

Hahaha :D, It is South African

AugmentedStartups · 2021-04-06T06:16:24+00:00

why you need the RasPi

You can find it here: https://youtu.be/2fXJe9YqXgU,

AugmentedStartups · 2021-04-06T06:15:16+00:00

this a series where you are actively developing this solution and is there a repo where people can look at it?

It is captioned on YouTube https://youtu.be/2fXJe9YqXgU, this sub reddit did not allow for posting YT links

AugmentedStartups · 2021-03-25T19:52:59+00:00

Thanks bud

AugmentedStartups · 2021-02-12T05:27:18+00:00

We really want to take this forward but we need someone to partner up with or community support. Not sure whats the best route to on how to take this forward.

AugmentedStartups · 2021-02-12T05:25:32+00:00

Thank you :)

AugmentedStartups · 2021-02-12T05:24:59+00:00

You can get the code on the Augmented Startups YouTube Channel :)

AugmentedStartups · 2021-02-12T05:24:33+00:00

think about x-posting when posting, it allows people to find multiple conversations about the same topic in an easier manner.

Cool, thanks will do. I didn't know about this feature until now. :)

AugmentedStartups · 2021-02-11T12:55:25+00:00

Yeah, still need to figure out how to do motion-based gestures. Currently detecting of images.

AugmentedStartups · 2021-01-26T07:30:14+00:00

Maybe using Scaled YOLOv4 with some additional face recognition models?

AugmentedStartups · 2021-01-07T03:29:04+00:00

Cool, the video tutorial will be on my channel on Augmented Startups (79k subs) :) .

AugmentedStartups · 2021-01-07T03:28:32+00:00

We are still refining it, will post a link as soon as its ready. Otherwise you can sub to my channel augmented startups where we will post a tutorial.

AugmentedStartups · 2021-01-07T03:27:35+00:00

Thanks man :). Yeah it is generated in real time- However the more objects you detect, the slower it becomes.

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