Object detection using video analytics

The objective is to detect any object found in the live video feed from RTSP camera installed at a particular location.

The solution needs to be implemented using open source platforms like Tensorflow or Open CV or other using object detection algorithms. The solution should be able to handle around 15 camera feeds.

Below are a couple of Q&A

a. Is it sufficient if we detect just the object or we need to identify what that object is also? --Detection of just the object is fine

b. What is the smallest size of the object that needs to be detected? --Usually, the object which is visible to naked eye.

Feel free to contact me for any further queries.

Skills: C++ Programming, Python, Computer Vision, Tensorflow, OpenCV

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About the Employer:
( 0 reviews ) Bengaluru, India

Project ID: #20333071

27 freelancers are bidding on average ₹1674/hour for this job


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(59 Reviews)

Hello. Here is another question: Do we have training datasets for object detection? What kind of objects? I we don't need the accuracy and want to get it fast enough then I think OpenCV would be good choice for this pr More

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(45 Reviews)

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(48 Reviews)

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(44 Reviews)

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(13 Reviews)

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(25 Reviews)

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------------------------ Object detection using Tensorflow/Keras/CNN/RNN/LSTM Professional -------------------------

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(8 Reviews)

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