A physical security application using computer vision
This system uses the video stream from webcam and classify the persons infront of camera as known a person or a unknown person.
- requirements.txt contains all the packages used in devlopement of this system.
- Most important dependecies of this system are dlib, opencv, openface and tkinter
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Enployees directory contains contains the images of persons for whom the system should show as know person.
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datataker.py helps in taking images from webcam and placing them in the employee directory.
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employee_embeddeds.py will generate the csv file of embeddeds of faces in employee file.
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By running the bolteye.py you will encounter a application developed using Tkinter which ask for a username and password
username : kaushik and password : bolt1234
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login button will lanch a python file ####dlib_image.py#### which actually classify the persons in video stream as a known person or unknown person
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you see the 'known person' or 'unknown person' right above the bounding box of the face
- special thanks to Kaushik yathi raj and harshavardhan for developing frontend application and great UI
Boltzeye Copyright (C) 2019 T Bharath Chandra
This program comes with ABSOLUTELY NO WARRANTY; for details type show w'. This is free software, and you are welcome to redistribute it under certain conditions; type show c' for details.
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