WEAPON DETECTION AND CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK
Keywords:
TensorFlow;Weapon Detection, OPen CV, Convolutional Neural Network, Image Classification;
Abstract
Limiting gun violence has become a major concern in recent years. Deep Learning models can help reduce gun violence by automatically detecting weapons from security cameras. In this project, we will be implementing the use of Deep learning algorithms, to detect any firearms / weapons to improve response time and reduce potential harm. The proposed system in this project is a weapon detection system based on CNN. The project will involve the use of various resources for implementation, such as: Tensorflow, OpenCV, Python, CNN, Google Colab, Numpy, Pandas
References
[1] R. M. Alaqil, J. A. Alsuhaibani, B. A. Alhumaidi, R. A. Alnasser, R. D. Alotaibi and H. Benhidour, "Automatic Gun Detection From Images Using Faster R-CNN," 2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH), 2020, pp. 149-154
[2] Akshaya, R. Kumar H.S. and D. Bhat, "A novel method to recognize object in Images using Convolution Neural Networks," 2019 International Conference on Intelligent Computing and Control Systems (ICCS), 2019, pp. 425-430
[3] H. Jain, A. Vikram, Mohana, A. Kashyap and A. Jain, "Weapon Detection using Artificial Intelligence and Deep Learning for Security Applications," 2020 International Conference on Electronics and Sustainable Communication Systems (ICESC), 2020, pp. 193-198
[4] S. Ren, K. He, R. Girshick, and J. Sun, “Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks,” in Neural Information Processing Systems 2015, 2015, pp. 241–294.
[5] R. Olmos, S. Tabik, and F. Herrera, “Automatic Handgun Detection Alarm in Videos Using Deep Learning,” CoRR, vol. abs/1702.0, Feb. 2017.
[6] G. K. Verma and A. Dhillon, “A Handheld Gun Detection using Faster R-CNN Deep Learning,” Proceedings of the 7th International Conference on Computer and Communication
Technology - ICCCT-2017, 2017.
[7] M. M. Fernandez-Carrobles, O. Deniz, and F. Maroto, “Gun and Knife Detection Based on Faster R-CNN for Video Surveillance,” Pattern Recognition and Image Analysis Lecture Notes in Computer Science, pp. 441–452, 2019.
[8] R. F. Azevedo Kanehisa and A. Almeida Neto, “Firearm Detection using Convolutional Neural Networks,” in 11th International Conference on Agents and Artificial Intelligence, 2019, pp. 707– 714.
[9] Sandeep Kumar, Aman Balyan, Manvi Chawla, “Object detection and recognition in images,” IJDRI1704166, vol. 5, pp. 1029-1034, 2017.
[10] Khushboo Khurana, Reetu Awast hi, “Techniques for object recognition in images and multi object detection,” IJARCET, vol. 2, pp. 1383 -1388, 2013.
[2] Akshaya, R. Kumar H.S. and D. Bhat, "A novel method to recognize object in Images using Convolution Neural Networks," 2019 International Conference on Intelligent Computing and Control Systems (ICCS), 2019, pp. 425-430
[3] H. Jain, A. Vikram, Mohana, A. Kashyap and A. Jain, "Weapon Detection using Artificial Intelligence and Deep Learning for Security Applications," 2020 International Conference on Electronics and Sustainable Communication Systems (ICESC), 2020, pp. 193-198
[4] S. Ren, K. He, R. Girshick, and J. Sun, “Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks,” in Neural Information Processing Systems 2015, 2015, pp. 241–294.
[5] R. Olmos, S. Tabik, and F. Herrera, “Automatic Handgun Detection Alarm in Videos Using Deep Learning,” CoRR, vol. abs/1702.0, Feb. 2017.
[6] G. K. Verma and A. Dhillon, “A Handheld Gun Detection using Faster R-CNN Deep Learning,” Proceedings of the 7th International Conference on Computer and Communication
Technology - ICCCT-2017, 2017.
[7] M. M. Fernandez-Carrobles, O. Deniz, and F. Maroto, “Gun and Knife Detection Based on Faster R-CNN for Video Surveillance,” Pattern Recognition and Image Analysis Lecture Notes in Computer Science, pp. 441–452, 2019.
[8] R. F. Azevedo Kanehisa and A. Almeida Neto, “Firearm Detection using Convolutional Neural Networks,” in 11th International Conference on Agents and Artificial Intelligence, 2019, pp. 707– 714.
[9] Sandeep Kumar, Aman Balyan, Manvi Chawla, “Object detection and recognition in images,” IJDRI1704166, vol. 5, pp. 1029-1034, 2017.
[10] Khushboo Khurana, Reetu Awast hi, “Techniques for object recognition in images and multi object detection,” IJARCET, vol. 2, pp. 1383 -1388, 2013.
