Abstract
Though there are strong laws to protect women, violence against women is increasing across the world. In this work deep learning is used for analysing video recordings to detect harmful weapons. Around the clock, women face harassment and violence. The notable uniqueness of this proposal is that Artificial Intelligence is implemented for the prediction of crime, which has never been implemented in the previous existing methodologies. Deep Learning models for image processing can detect violence with higher accuracy and thus help cops to identify the criminals. Therefore, any crime that is yet to happen is detected and the predefined contacts get an SMS so that they can know the whereabouts of the victim. The proposed method uses YOLO v3 algorithm. For higher accuracy, the dataset consists of weapons with all possible angles, merged with ImageNet dataset this objection detection algorithm was found to perform extraordinarily to detect weapons in various scenarios, shapes, and rotations. The result showed that YOLOv3 can be used as an alternative of other traditional object detection algorithms such as Faster RCNN.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Punithavathy K, Poobal S, Ramya MM (2018) SVM based lung cancer classification using texture and fractal features from PET/CT images. Indian J Public Health Res Dev 9(10):2018, 2-s2.0–85052800255
Singh A, Anand T, Sharma S, Singh P (2021) IoT based weapons detection system for surveillance and security using YOLOV4. 2021 6th international conference on communication and electronics systems (ICCES), pp 488–493. https://doi.org/10.1109/ICCES51350.2021.9489224
Jacob MS, Selvi Rajendran P (2021) Fuzzy artificial bee colony-based CNN-LSTM and semantic feature for fake product review classification. Concurr Comput Pract Exp 10(12):46–56, 2-s2.0–85112676165
BC, Jose D, Kavitha (2018) IoT based pollution monitoring system using raspberry-PI. Int J Pure Appl Math 118(24)
Ramesh D, Jose D, Keerthana R, Krishnaveni V Detection of pulmonary nodules using thresholding and fractal analysis. Comput Vis Bionspired Comput, 937–946, 20
Siraskar R, Kumar S, Patil S et al (2023) Reinforcement learning for predictive maintenance: a systematic technical review. Artif Intell Rev 56:12885–12947. https://doi.org/10.1007/s10462-023-10468-6
Gite S, Kotecha K, Ghinea G (2023) Context–aware assistive driving: an overview of techniques for mitigating the risks of driver in real-time driving environment. Int J Pervasive Comput Commun 19(3):325–342. https://doi.org/10.1108/IJPCC-11-2020-0192
Baskar M, Gnanasekaran T, Develo** efficient intrusion tracking system using region based traffic impact measure towards the denial of service attack mitigation. J Comput Theoret Nanosci. https://doi.org/10.1016/j.aej.2018.02.011
Bakthavatchalam K, Karthik B, Thiruvengadam V, Muthal S, Jose D, Kotecha K, Varadarajan V (2022) IoT framework for measurement and precision agriculture: predicting the crop using machine learning algorithms. Technologies 10:13. https://doi.org/10.3390/technologies10010013
Leonid TT, Kanna H, VJ CC, Hamritha AS, LokeshC (2023) Human Wildlife conflict mitigation using YOLO algorithm. 2023 Eighth international conference on science technology engineering and mathematics (ICONSTEM), Chennai, India, pp 1–7. https://doi.org/10.1109/ICONSTEM56934.2023.10142629
Yogesh R, Ritheesh V, Reddy S, Rajan RG (2022) Driver drowsiness detection and alert system using YOLO. 2022 International conference on innovative computing, intelligent communication and smart electrical systems (ICSES), Chennai, India, pp 1–6. https://doi.org/10.1109/ICSES55317.2022.9914261
Mitleshwar Rao B, Nair SD, Shivasharvesh, Dhanalakshmi R, Arulmozhi (2022) Accident detection using DenseNet. 2022 IEEE International conference on data science and information system (ICDSIS), Hassan, India, pp 1–4. https://doi.org/10.1109/ICDSIS55133.2022.9915904
Sruti T, Sneha R, Rajaganapathy K, Vasantha KV (2022) Crime awareness and registration system using chatbot. 2022 International conference on computer, power and communications (ICCPC), Chennai, India, pp 385–388. https://doi.org/10.1109/ICCPC55978.2022.10072070
Srilakshmi G, Praveen Joe IR (2023) Sports video retrieval and classification using focus u-net based squeeze excitation and residual map** deep learning model. Eng Appl Arti Intell 126, Part D, 107176, ISSN 0952–1976. https://doi.org/10.1016/j.engappai.2023.107176.
Sivakumar K, Sasikumar S, Krishnamurthy M (2023) Tree social relations optimization-based ReLU-BiLSTM framework for improving video quality in video compression. J Circuits Syst Comput 32(10):2350179. https://doi.org/10.1142/S0218126623501797
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Michelle, W.I., Ashik, M.Z.M., Achyut, N., Nitya, T., Jose, D., Gnanasekaran, J.K. (2024). Video Analysis Using Deep Learning in Smart Gadget for Women Saftey. In: Marriwala, N.K., Dhingra, S., Jain, S., Kumar, D. (eds) Mobile Radio Communications and 5G Networks. MRCN 2023. Lecture Notes in Networks and Systems, vol 915. Springer, Singapore. https://doi.org/10.1007/978-981-97-0700-3_12
Download citation
DOI: https://doi.org/10.1007/978-981-97-0700-3_12
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-97-0699-0
Online ISBN: 978-981-97-0700-3
eBook Packages: EngineeringEngineering (R0)