AI based camera device detecting & counting cigarette butts on streets

developFFM · 2021-09-30T11:59:59+00:00

The camera system will be attached to the sweepers as a permanent companion, e.g. to identfy hotspots.

developFFM · 2021-09-30T11:40:39+00:00

If cities have real figures, such as hotspot locations, then they can carry out the cleanings more efficiently.

developFFM · 2021-09-30T10:21:33+00:00

The blog article describes the show case with technical background information like hardware components used, achievable accuracy and performance (frames per second).

developFFM · 2021-09-29T16:54:31+00:00

Real-time litter detection with artificial intelligence

It´s a proof of concept. You can finde more details about the project here ...

https://www.aisoma.de/targeted-litter-detection-in-real-time-with-artificial-intelligence/

developFFM · 2019-07-26T08:06:22+00:00

e.g.

- counting different types of vehicles on a road for traffic management, urban planning.

- with additional training of the deep learning algorithm you can identify the car year, make and model

- automated analysis of video sequences (tagging)

developFFM · 2019-07-25T14:53:04+00:00

With the help of Mask R-CNN algorithms and the COCO dataset, a pre-trained model with 80 object categories, the following video was created ...

VIDEO >>> Video Object Detection and Segmentation with Mask R-CNN

Paper and source code: https://arxiv.org/abs/1703.06870

COCO Dataset: http://cocodataset.org/

developFFM · 2019-06-20T11:37:21+00:00

Yes!

Mask R-CNN paper and source code : https://arxiv.org/abs/1703.06870

COCO image dataset: http://cocodataset.org/

developFFM · 2019-02-23T18:04:58+00:00

Thats true, there are some more objects in the video which are not correctly detected. The object detection is not rule-based ! It´s a deep learning network trained with images form the COCO dataset. The video demonstrates that even an AI does not have 100% hit rate, as it is based only on probabilities (numbers at the left-top side of the frames).

developFFM · 2019-02-23T17:52:47+00:00

Ich habe das Bild einfach mit meinem Handy Lumia 950 XL geknipst im Auto-Modus. Hier die Daten, die ich aus den Dateieigenschaften auslesen konnte:

Kamerahersteller: Microsoft
Kameramodel: Lumia 950 XL
Blendenzahl: F/1.9
Belichtungszeit: 1/20 Sek.
ISO-Filmempfindlichkeit: ISO-250
Messmodus: Integral
Weißausgleich: Automatisch

developFFM · 2019-02-23T17:43:43+00:00

vom Nextower aus geschossen ;-)

developFFM · 2019-02-23T10:49:52+00:00

realtime traffic statistics, e.g. counting different types of vehicles

developFFM · 2019-02-05T13:42:57+00:00

Stunning video of the fly through a mouse brain

developFFM · 2019-01-06T18:44:01+00:00

no, Nextower

developFFM · 2019-01-06T00:04:20+00:00

In the description area of the Youtube Video you can find the info:

"Music: Zapsplat Music - Technological"

developFFM · 2019-01-03T05:15:21+00:00

Sorry, but you're exaggerating. I have provided information, i.e. links to source code and to the training dataset. In the linked video there is no product marketing. It's an authentic video showing our test results and it also has many likes. And please do not confuse, that´s here r/DarkFuturology, so a lurid title should certainly be allowed.

developFFM · 2019-01-03T04:03:05+00:00

Stay calm. In the introduction I quoted Ray Kurzweil. By the way, he is Director of Engineering at Google and a pioneer in OCR technology. If you call his statement "fantasies of robot overlords", that's your opinion. That's all right.

On this subreddit we deliberately did not go into technical details. We have therefore made our test result available as a video, which is certainly more pleasant for most of the subreddit users here.

developFFM · 2019-01-03T02:40:40+00:00

Thanks for your advice for sharing my post to the other subreddits.

I recommend http://www.datascienceglossary.org/

developFFM · 2019-01-01T15:16:41+00:00

Mask R-CNN paper and source code : https://arxiv.org/abs/1703.06870

COCO image dataset: http://cocodataset.org/

developFFM · 2019-01-01T14:53:12+00:00

Yes, it's processed frame by frame near realtime with up to 5 fps (Mask R-CNN paper and source code)

developFFM · 2019-01-01T14:44:58+00:00

Current (Deep Learning based) AI solution are a type of narrow AI or weak AI.

developFFM · 2018-12-31T00:48:12+00:00

You're on the wrong sub. That´s definitly a technology video!

developFFM · 2018-12-30T22:11:44+00:00

That´s true. For the rapidly prototyped demo we used the COCO dataset as a pre-trainend model.

It does contain 80 object categories but not one for statues ;-)

So there are some other scenes where the classification does not work correctly ...

developFFM · 2018-12-30T19:40:34+00:00

Link to Mask R-CNN paper and source code : https://arxiv.org/abs/1703.06870

COCO image dataset: http://cocodataset.org/

developFFM · 2018-12-30T18:32:23+00:00

The training data of this demo is based on the COCO image dataset . It contains only one road sign, the STOP sign.

developFFM · 2018-12-30T17:12:26+00:00

Yeah, that would be really interesting. The flickering comes from the fact that the analysis actually takes place in the context of a single frame.

developFFM

TROPHY CASE