Need help with existing computer vision project


I am currently developing a computer vision project based on Python, OpenCV, Raspberry pi, firebase and android.

I am using face detection, recognition and tracking approach in the project but I am facing integration issues and need code optimisation. Most of the components of the project are ready I just need someone to help me integrate it according to the required architecture. All the details and existing the code will be provided

I am using webcam for capturing the image.

The webcam is connected to a raspberry pi.

I have done face and upper body detection using Haar cascade.

Facial tracking with Kalman filter

Facial recognition with dlib and face recognition library.

I have also developed the android app and all the databases on firebase.

I intend to do detection and tracking on the pi and recognition on the server. Where everything is connected to the firebase I am not able to transfer the images from real-time stream to server along with its tracking ID as well as retrieve the recognised person's name and id from the server

I even need optimisation for the tracker and optimising the code on raspberry pi because FPS is really low

The camera will be installed above the door and I intend to send a notification on the android app if the recognised person leaves the room

Skills: Python, Android, Computer Vision, Raspberry Pi, Firefox

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( 0 reviews ) Adelaide, Australia

Project ID: #27722986

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Hi. I am a Machine Vision Expert. I am very familiar to Deep learning apis such as Tensorflow, TensorflowLite, TfLearn, keras, pytorch, and fastai, mxnet. I have a good hands on working with Advanced R and Python and B More

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