Suspicious Luggage Detector on the Web | Computer Vision Web Development
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- Опубліковано 9 вер 2023
- This is part of the Computer Vision Web Development Course.
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Interesting idea, would be made better if we can implement a bounding box for the carrier so it knows if no one is around the timer goes up but if the carrier is next to it then its not suspicious, what do we think?
Great project Murtaza 👏🏽 Your work is so inspiring. 👍🏾
Is this demo of the project in your course for premium members? I've seen some of your videos - all steps from coding to demo of the result were recorded , but recently this kind of short video was uploaded several times, so I'm just curious
Amazing...❤
I thought this was weight at first. Now, weight would be crazy fun to try.
I love your videos.
Can we use centroid displacement logic here
Great Murtaza thanks, q.pls, How to find out if the owner is still near the bag for a certain distance or has left it and left the place?
Is this already in market ?
Let me tell u actual and practicke problems in abandoned luggage.
1. Its generally installed on public places which
is very crowded.
Now because of this reason maximum distance threshold of nearness to human never meets.
Abandoned baggage will always remain close and nearby to some or the other human. This wont generate alert at all, most of the time.
2. Generally in these kind of public places cameras are placed at height and number of cameras are in 100s. We cant do the detection in HD stream otherwise it will dimand very high configuration servers.
If we do the detections in lower resolution streams, the size of luggage becomes very very small making it very difficult to detect
3. Another problem is that abondoned luggage doesn’t mean only these kind of suitcases which u have in the video. It mean laptop bags, travel bags, duffel bags as well. These bags are of different different shapes and sizes. Its becomes very difficult to train all kinds of luggage and with different different angles. Also the camera angles and environment is different for each location making it very difficult to commercially distribute same product and model to all the customers
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Hello sir, can you help me with a reference or tutorial to predict or to measure weight of a person in real time using object detection . Can you please help me with an idea
It would never be 100% accurate, may not even be 85% accurate in measurement...All you can base that off of is height and size, and a metrics of data that has already accounted for estimation, aka Dr's charts. The problem you will run into is if someone for example is dressed up for Halloween as an inflatable Minion, or they have a pillow under their shirt. If you are trying to use this for let's, say Law Enforcement, then if a witness got in front of a Magistrate and stated the Object Detector said they weighed 300lbs, but reality they weigh 150, and is all because of pillows stuffed under shirts, then this becomes a pointless object detector...No better than a Carnival trick, and the case would be thrown out...As an example. If you are trying to use it for Weights and Balance's for Airlines that may have a different case use and may be fruitful, but same problems arise with what people choose to wear, so the real question is...what is this to be used for?
No knowledge sharing? Just advertising? 😢
red to go help the poor man