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Title: :  FIRE AND GUN DETECTION SYSTEM USING DEEP NEURAL NETWORKS
PaperId: :  20196
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 3 2023
DUI:    16.0415/IJARIIE-20196
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Shristi JRajarajeswari College of Engineering
R ShobhaRajarajeswari College of Engineering
Sahana RajaRajarajeswari College of Engineering

Abstract

Computer Science
Fire and Gun Detection, CNN, YOLLO.
Systems for detecting anomalies are essential for ensuring public safety, particularly in area significant risk of fire and violent entertainment. According to the study, we present a real-time fire and gun detection system that uses deep neural networks to identify anomalous events. Convolutional neural networks (CNNs) and recurrent neural networks (RNNs) implemented in combination with the suggested system, which uses video surveillance data as input to identify anomalies. While the RNNs record the temporal dependencies between frames, the CNNs takes the responsisbility of extracting spatial features from the input frames. The proposed system are viewd against a benchmark dataset of actual surveillance footage after being trained using a sizable dataset of fire and gun violence-related events. The outcomes show that our system achieves high detection accuracy and outperforms existing state-of-the-art methods. Object detection is a different program in computer vision applications such as surveillance, autonomous driving, and robotics. Deep neural networks have shown promising results in object detection, but real-time performance is often a challenge due to the large computational requirements of these models. According to this report, we present a real-time object detection system based on a deep neural network architecture. The proposed system uses a combination of convolutional neural networks (CNNs) and region proposal networks (RPNs) to detect objects in the current world. The system is evaluated on a benchmark dataset and compared with state-of-the-art methods. The results demonstrate that our system achieves high detection accuracy and real-time performance.

Citations

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IJARIIE Shristi J, R Shobha, and Sahana Raja. "FIRE AND GUN DETECTION SYSTEM USING DEEP NEURAL NETWORKS" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 3 2023 Page 927-931
MLA Shristi J, R Shobha, and Sahana Raja. "FIRE AND GUN DETECTION SYSTEM USING DEEP NEURAL NETWORKS." International Journal Of Advance Research And Innovative Ideas In Education 9.3(2023) : 927-931.
APA Shristi J, R Shobha, & Sahana Raja. (2023). FIRE AND GUN DETECTION SYSTEM USING DEEP NEURAL NETWORKS. International Journal Of Advance Research And Innovative Ideas In Education, 9(3), 927-931.
Chicago Shristi J, R Shobha, and Sahana Raja. "FIRE AND GUN DETECTION SYSTEM USING DEEP NEURAL NETWORKS." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 3 (2023) : 927-931.
Oxford Shristi J, R Shobha, and Sahana Raja. 'FIRE AND GUN DETECTION SYSTEM USING DEEP NEURAL NETWORKS', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, 2023, p. 927-931. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/FIRE_AND_GUN_DETECTION_SYSTEM_USING_DEEP_NEURAL_NETWORKS_ijariie20196.pdf (Accessed : ).
Harvard Shristi J, R Shobha, and Sahana Raja. (2023) 'FIRE AND GUN DETECTION SYSTEM USING DEEP NEURAL NETWORKS', International Journal Of Advance Research And Innovative Ideas In Education, 9(3), pp. 927-931IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/FIRE_AND_GUN_DETECTION_SYSTEM_USING_DEEP_NEURAL_NETWORKS_ijariie20196.pdf (Accessed : )
IEEE Shristi J, R Shobha, and Sahana Raja, "FIRE AND GUN DETECTION SYSTEM USING DEEP NEURAL NETWORKS," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, pp. 927-931, May-Jun 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/FIRE_AND_GUN_DETECTION_SYSTEM_USING_DEEP_NEURAL_NETWORKS_ijariie20196.pdf [Accessed : ].
Turabian Shristi J, R Shobha, and Sahana Raja. "FIRE AND GUN DETECTION SYSTEM USING DEEP NEURAL NETWORKS." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 3 ().
Vancouver Shristi J, R Shobha, and Sahana Raja. FIRE AND GUN DETECTION SYSTEM USING DEEP NEURAL NETWORKS. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(3) : 927-931. Available from: https://ijariie.com/AdminUploadPdf/FIRE_AND_GUN_DETECTION_SYSTEM_USING_DEEP_NEURAL_NETWORKS_ijariie20196.pdf
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