Comments (40)
Yes I have defined them. I will still again look onto it. Also I think the packages are not installed properly.
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I want to work on this issue
#6
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You can work on only 1 issue at a time so let me know of what you would choose first? @kkg2001
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I want to work on issue#6
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Ok, provide the details mentioned to get it assigned. @kkg2001
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Name-Krishna Kant Gupta
Participant ID:499
Discord-krish1234#9508
Project:Person Detection is thief or not
github id:@kkg2001
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Approach please. @kkg2001
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Approach: First of all we will check the stranger's body movements and take into consideration his body language from the usual parameters. Secondly using opencv or any other technology relevant to this project we will check whether the person is nervous/curious or not keeping into consideration how normal people's face reactions. Time parameter like whether the stranger looks in a hurry or he is pretending to be in normal state and taking more time than usual so that nobody catches him. There are chances that he may not use the usual path to enter the house in that case the siren alarm should ring immediately and should confirm that he is certainly a thief. Tracing his finger prints or detecting his face could make work easier whether his history is there as a thief.
from thief_detection.
This would be a long thing for this issue. Nice ideas you have showcased. But we already created other issues for considerations mentioned. For this issue, we shall do it with basic one. If person is not entering through a usual path, we detect him as thief and alarm would ring immediately. @kkg2001
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Thanks. Ok I will work on only the basic one when the thief is entering through an unusual path
from thief_detection.
Yes, once you finish this. You can take up an another issue related to it. Issue is assigned to @kkg2001
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Yours is a basic and will be interlinked issue for many other issues. @kkg2001
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Ok I will make sure I put up my best efforts for this issue and then I will move over to other issues (probably #7)
from thief_detection.
Great, you can proceed. All the best. @kkg2001
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I am presuming that cctv cameras are installed on that path from where stranger will try to enter the house from an unusual path. I will share the code shortly and let me know the changes in it.
Thanks
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Ok sure. Yeah, with cctv. Without cctv, you have any idea to add? I don't think owners would keep cctv on unsual path. For now, this works @kkg2001
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If by some mechanism we can measure the randomness of motion of the stranger coming by unusual path then its possible(something like a sensor or if we can predict its motion history). For example coming via window pane or jumping off the fence will have different motions.
from thief_detection.
Yes, for this issue we shall proceed with this thing we had thought of. We can add this up later in issues for better proximity. @kkg2001
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You mean we can proceed with this cctv thing what we actually presumed or something else?
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It's the same what we had thought earlier. Proceeding with CCTV thing. @kkg2001
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Yes, the same. I thought you would have started working. @kkg2001
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I started back then but in the back of my mind was thinking about what if the cctv was not in the unusual path. Regarding the coding part I am facing some errors so I am fixing those.
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Ok for now we will get this done and later add enhancements to it. What are the errors you're getting? @kkg2001
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'error: unrecognsied elements' , 'an exception has occured , use %tb to see the full traceback'
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*arguments not elements
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The elements you have mentioned in arguments aren't recognizing. Have you defined them? @kkg2001
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Ok, Understood libraries should be loaded for functionality to work. @kkg2001
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Kindly update the progress. Its been more than 10days. It should be done by now, if you're stuck anywhere we are here to help out. @kkg2001
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from thief_detection.
Because most of the work initiates from this issue. @kkg2001
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from thief_detection.
Oh, if you could share me out the link @kkg2001
from thief_detection.
import cv2
import numpy as np
body_classifier = cv2.CascadeClassifier(cv2.data.haarcascades+'haarcascade_fullbody.xml')
cap = cv2.VideoCapture('Thief.avi')
while cap.isOpened():
ret, frame = cap.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
bodies = body_classifier.detectMultiScale(gray, 1.2, 3)
for (x,y,w,h) in bodies:
cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 255), 2)
cv2.imshow('Thief', frame)
if cv2.waitKey():
break
cap.release()
cv2.destroyAllWindows()
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This is the code which is giving no response
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I made the required changes in the code and its working fine. Can I proceed towards merging the PR?
from thief_detection.
oops, sorry I was unwell. I couldn't check out your messages. Hope error is solved? Yes, if it's working you can proceed to do so
@kkg2001
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I am stuck in this. What to do?
from thief_detection.
I guess your forked repo and main repo is not even. That's why it isn't dedicating the changes made. Make it even and then push it back @kkg2001
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from thief_detection.
Yes @kkg2001
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Related Issues (11)
- Thief Detection : Alert House Owner with Image of the person (Not a part of SWOC)
- Thief Detection : Alerting Police Stations using Notifications and Image of an Intruder HOT 11
- Thief Detection : Alerting Protection Centers using Notifications and Images of an Intruder HOT 3
- Adding biometrics and track history of the stranger (This issue is not part of SWOC) HOT 4
- Design a Logo (This issue is kept on hold right now) HOT 1
- Create About Us Section in Home Page HOT 15
- Create Basic Index Html file for Home Page HOT 7
- Thief-Detection : Alerts House Owner using Notification HOT 6
- Thief Detection : Time Consideration Parameters to Detect a Thief HOT 3
- Thief Detection : Person's Behavior / Actions HOT 20
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