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Crime Detection using Deep learning
Performed crime detection on crime data manually collected from Google images as well as the Imagenet database.
Crime detection is one of the highly useful applications in the field of deep learning, as this helps in curbing crime and increasing the safety of people. Developed an object detection model using YOLO Darknet to detect harmful weapons such as guns and knives, in the hands of a person. This ensures the prevention of false alarms by detecting just the gun or a knife. Also trained the model to detect a person lying down on the road, which helps 911 emergency to reach on time to save the life of the person.
Trained the model for 40000 iterations using pre-trained weights file convolutional layer: http://pjreddie.com/media/files/darknet19_448.conv.23
Sample Output of Detection
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Github stars:
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- 34
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