Crime Prediction and Intrusion Detection with IoT and Machine Learning

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Published Jul 21, 2021
Anirudh Kumar Tiwari Prof.(Dr.) Bhavana Narain


In this era of digitalization crime investigation and prediction is top and foremost necessity. An action or commission which constitutes an offence and is punishable by Law is called crime.  It can be performed by individual or group .it can commit against government or private may be harm someone reputation, physical harm or mental harm crime can cause direct harm or indirect harm to whoever the victim             is.
 The purpose of our work is to design a prototype that helps the police in detecting crime locations. We have taken a condition that if any person is going somewhere and after seeing an accident, when the photo of that accident is taken then automatically it will be sent to nearest police Station. For this, it is necessary to have an application designed by us both in the sender and the receiver. This whole matter will directly connect the police with crime location which ease the police can reach that location. GPS will be used for location detection. In our work we have collected dataset with the help of digital camera which is attached with IoT device. In first part of our paper we have discussed the grounds of our work under introduction of crime, digital image processing, GPS and IoT. In second part of our work we have discussed the methodology of our work here sensor board, GPS setting has been discussed along with dataset. There is a number of data collection technologies in the IoT. The most widely used technology is the Wireless sensor network (WSN) uses multi-hopping and self-organization to maintain control over the communication nodes.



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Tiwari, A. K. ., & Narain, P. B. (2021). Crime Prediction and Intrusion Detection with IoT and Machine Learning. SPAST Abstracts, 1(01). Retrieved from
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sensor network, intrusion detection, IoT

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