Giter VIP home page Giter VIP logo

devika-28 / threat-detection-and-reporting-system Goto Github PK

View Code? Open in Web Editor NEW
7.0 3.0 0.0 7.63 MB

to identify the threats, or mishaps beforehand. To achieve this goal, we are currently detecting weapons, firearms, and any suspicious activities, apart from that if any problem occurs, it is going to try to detect if any casualties had happened, and is producing the alert.

License: GNU General Public License v3.0

Python 0.93% Jupyter Notebook 99.07%

threat-detection-and-reporting-system's Introduction

Threat-Detection-and-Reporting-System

to identify the threats, or mishaps beforehand. To achieve this goal, we are currently detecting weapons, firearms, and any suspicious activities, apart from that if any problem occurs, it is going to try to detect if any casualties had happened, and is producing the alert.

USECASE FOR THE PROJECT

USECASE

Output for finalgun.py

detecting gun

Output for finalmedical.py

detecting Medical Attention

REFERENCES

[1] Jaime Dever, Niels da Vitoria Lobo, and Mubarak Shah “Automated Visual Recognition of Armed Robbery”.[Online]. http://crcv.ucf.edu/papers/robbery.pdf.

[2]M.Grega, A. Matiolanski, P. Guzik and M. Leszczuk. “Automated detection of firearms and knives in a CCTV image”. Sensors 16(1), pp. 47. 2016.

[3] Saturnino Maldonado-Bascón, Cristian Iglesias-Iglesias, Pilar MartínMartín* and Sergio Lafuente-Arroyo.“Fallen People Detection Capabilities Using Assistive Robot”. Electronics 2019, 8(9), 915; 21 August 2019. [Online]. https://doi.org/10.3390/electronics8090915

[4] A. Bobick and S. Intille. Recognizing planned, multiperson action. Computer Vision and Image Understanding, 81(3):414–445, 2001.

[5] Kmiec M., Glowacz A. An Approach to Robust Visual Knife Detection. Mach. Graph. Vis. 2011; 20:215–227.

[6] Chen LH, Hsu HW, Wang LY, Su CW. Violence detection in movies. In: Computer Graphics, Imaging and Visualization (CGIV), 2011 Eighth International Conference on. IEEE; 2011. p. 119–124.

[7] Zhang, T.; Zhang, W.; Qi, L.; Zhang, L. Falling detection of lonely elderly people based on NAO humanoid robot. In Proceedings of the 2016 IEEE International Conference on Information and Automation (ICIA), Ningbo, China, 1–3 August 2016; IEEE: Piscataway, NJ, USA, 2016; pp. 31–36.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.