AU2020102101A4 - CRIME DETECTION AND PREVENTION SYSTEM USING PERSONAL AND PUBLIC IoT NETWORKS - Google Patents
CRIME DETECTION AND PREVENTION SYSTEM USING PERSONAL AND PUBLIC IoT NETWORKS Download PDFInfo
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- 238000001514 detection method Methods 0.000 title claims abstract description 21
- 230000002265 prevention Effects 0.000 title claims abstract description 11
- 238000005516 engineering process Methods 0.000 claims abstract description 20
- 238000012544 monitoring process Methods 0.000 claims abstract description 9
- 238000004891 communication Methods 0.000 claims abstract description 8
- 230000000694 effects Effects 0.000 claims abstract description 7
- 230000002996 emotional effect Effects 0.000 claims abstract description 6
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- 230000008451 emotion Effects 0.000 abstract description 18
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- 238000011161 development Methods 0.000 abstract description 2
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- 238000000034 method Methods 0.000 description 8
- 230000036626 alertness Effects 0.000 description 3
- 238000003066 decision tree Methods 0.000 description 3
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- 230000009471 action Effects 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
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- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
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Abstract
CRIME DETECTION AND PREVENTION SYSTEM USING PERSONAL AND PUBLIC
IoT NETWORKS
ABSTRACT
In recent years, the crime activities are getting increased and impacting in negative way on the
development of social and economic factors. Due to this, the life and the properties of the citizens
are getting suffered and threatened. Criminology will give importance to prevent the crime before
it happens, that will be better and powerful than executing the law after the crime takes place. To
overcome this problem, the Information and Communication Technologies are being used to the
maximum advantage for crime prevention. In general, the IoT technologies application is often
seen in the field of smart city, smart logistics, and the healthcare whereas the application for crime
detection is new for the researchers to attempt the crime detection using the smart sensing
technologies. In this regard, the advancement of Internet of Things specifically has great potential
to give a solution. The Recent technologies like Big Data and IoT framework is used for the
purpose of tracking and monitoring the crime in real time in order to reduce the crime rate. The
primary focus of the police authorities is about detection of crime in time and reduction of crime.
This task can be enabled by using IoT and low-cost wearable sensors. The proposed automation
system is used to monitor, track and to detect the crime in real-time on the basis of human
emotional status and the biological data.
11 P a g e
CRIME DETECTION AND PREVENTION SYSTEM USING PERSONAL AND PUBLIC
IoT NETWORKS
Drawings
CCTV Carnera to
record the notion
of the uer
User's Wearable 4TneDetecionto
Sensor Device to send motfftion to
police officers and
sense the emotion
Jser relatives
Imodu& ,
Crime Prediction to Cdme Vsualization
_istize the
predict the crime inI
stored data for
hotspot areas
future use
Figure 1: Crime Prediction and Monitoring system
1 P a g e
Description
CRIME DETECTION AND PREVENTION SYSTEM USING PERSONAL AND PUBLIC IoT NETWORKS
Drawings
CCTV Carnera to record the notion of the uer
User's Wearable 4TneDetecionto Sensor Device to send motfftion to police officers and sense the emotion Jser relatives
Imodu& ,
Crime Prediction to Cdme Vsualization _istize the predict the crime inI stored data for hotspot areas future use
Figure 1: Crime Prediction and Monitoring system
1 Pa g e
CRIME DETECTION AND PREVENTION SYSTEM USING PERSONAL AND PUBLIC IoT NETWORKS
Description
Field of Invention:
This field addresses the crime detection and prevention system using the personal and public IoT network. Over the years, crime activities impacting in negative way on the development of social and economic factors. To overcome this challenge, the Information and Communication Technology are being used to maximum advantage in the recent times. In this regard, the advancement of Internet of Things has a great potential to solve the problems. In order to reduce the crime rate, the technologies like Big Data and IoT helps to track and monitor the crime in real time.
Background of invention:
Elis, A and Morris, S.V. addressed that, the crime is an act impacts the community in negative way and the punishment is given in the way of paying fine or the imprisonment. Some of the examples given by Renold, A. p., Rani, R. J. is that Robbery, Murder, Kidnap, etc. 0 Sabiya, B. J. explained that the crime rate is defined as that, it is inversely proportional to the economic development rate for any of the nation. Tae-Heon M., Sun-Young H., Sang-Ho L addressed that, in the manual-based approach, the crime recording and documentation is done based on norms by the local police. When the crime is reported in police station, they will tell the person to fill the incident sheet in order to write the statement in the incident sheet. This will be taken as the recorded information by the police officer in the incident case file. In the year of 2011, the crime tracker was developed to manage the criminal records. This has helped the police authority to manage the criminals in the state. Byun, J. Y., Nasridinov, A., Park, Y. H. addresses the usage of surveillance CCTV camera and the smart phone which is equipped with the GPS technology for the purpose of tracking and monitoring the mobile phone user. The Surveillance mobile application which is installed in the smart phone is launched to start the streaming of video and it will be sent to the centralized monitoring server, and also it is sent to the police authority for the action. The drawback is that, it does not work on all the platforms of mobile phone. Pulim, P. R., Rajesh, D. explained that the crime prevention system makes use of the internet access and the mobile application to the maximum advantage. The mobile application will provide the information on the basis of the
1| P a g e factors which will cause the crime occurrence within the area. The mobile application which is connected to the big data analytics engine will analyze the public big data like usage of credit card, flow of pedestrians and the use of smart phone, etc. The big data is analyzed using the Spatial statistical analysis will produce the factors by affecting the occurrence of crime and also provides the crime information to the public via the mobile application or internet. Cai, H., Xu, L. D., Xu, B., Xie, C., Qin, S., Jiang, L. has developed the smart crime detection model using the IoT. It has potential to detect the crime in real time on the basis of human emotions. This is used as the basic data for the police agencies in order to find out the crime and allows the citizens to be safer in the place where they live in. The drawback is that, the wearable sensors is used and this could be removed during the attack by the kidnappers. Jara, J., Zamora-Izquierdo, M. A., Skarmeta, A. F. addresses that, the method has proposed the system to identify the deception present in the communication by using emails related to the criminal activities. The decision tree classification which is present within the data mining technique helps to detect the deception in the emails. Deception is characterized by the reduction of frequency of the first-person pronouns, exclusive words, and elevated words also the use of actions (verb). This model will be applied to the large volume of email dataset and further it is applied to the decision tree classification techniques. The decision tree which is generated is used to classify the email as the fraudulent or not. Li et al. has proposed the novel IoT-based application which is also known as smart community with various different functions for the local residents. In this method, the wireless communication and unique smart sensing technologies is facilitated to connect the smart home in the local community and also performs some functions for the local residents. Bi et al. addressed the impact of IoT technology for the enterprise system in modem manufacturing. This author has discussed about the IoT technologies in data acquisition and data sharing in manufacturing, enterprise, human and object interaction, and decision-making process. The traffic monitoring system has been proposed using different IoT technologies by Xiao and Wang. This method is used for vehicle identification by using Electronic Product Code which is globally unique by using the RFID reader. The vehicle position can be determined using the GPS technology and the mobile object data will be transmitted using the GPRS concept. Jara et al. addressed the framework for the mobile health based on the concept of IoT. Based on proposed system, the vital sign of patient can be monitored. The patient can be monitored in the remote centers, and also in the personal platforms like tablets.
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The personal clinical device is used for the purpose of wireless transmission for the continuous vital signs and to identify the patient using the RFID.
Objects of the invention:
• The Application of Internet of Things and Big Data Information and Communication Technologies having a great potential to overcome the crime challenges. • The IoT and Big Data technologies has an optimal solution to monitor, track and detect the crime activities in real time. • Detecting the crime in time and reduction of crime are the focus to the police authorities. • IoT and low-cost smart sensors (wearable or implantable) can be enabled to this task. The wearable sensor device of the user senses the emotion and based on this emotion mining can be performed to identify the user's situation whether he/she is in dangerous situation or not. • The proposed automation system detects the crimes in real-time based on analyzing the human emotions and biological data.
Summary of the invention:
The Concept of Internet of Things (IoT) is the collection of sensor networks and the smart objects which is self-configuring and adaptive for the reason of identification, communication, sensing, collection of data and the human interaction. In IoT, each and every object is uniquely identified and every object becomes a part and accessible to the internet. The digital world is combined with the physical world by using the IoT into a single one. IoT is a growing trend and it is a next industrial revolution, as it impacts on the government, business, and the consumer interaction with the physical world. There will be exponential growth in number of connected devices with the help of IoT. The IoT architecture consists of some basic building blocks such as things, gateways, network infrastructure, and cloud infrastructure. By using the connectivity methods and without any help of humans, sensors can directly communicate. The Gateways is used as an intermediary between the cloud and the things in order to provide the connectivity, and security. Some set of devices are present in the network architecture to control and secure the data flow (For example: routers, gateways, repeaters, and aggregators). The cloud infrastructure consists of server and
31 P a g e storage that will be networked together with the capability of analytics and computing. The purpose of IoT in the crime is to detect and monitor in order to bring flexibility to the security agents for the purpose of monitoring in real-time, prevention of crime, forming information management system for crime, and the smart city implementation. In general, the IoT application technologies are often seen in the field of smart city, smart logistics, and the healthcare. The IoT application in the crime detection is new for the researchers to detect the criminal activities using the smart sensing technologies. IoT concept applied to smart city is used to enhance the daily life routine of the local residents.
Detailed Description of the Invention:
The proposed system uses some of the following steps to make the system in effective way. The different modules like Sensing of emotion, Recording the emotions, Detection of crime, Visualizing the crime, and Prediction of crime. The Figure 1 consists of the following components. i) Emotion State Sensing Module - It has capability to sense the emotions of the user by using the body-centric smart sensor which is named as RFID, that will be wore by the user. ii) Emotion State Recording Module - This module is used to record and store the types of crime detected. iii) Crime Detection Module - This module is used to send the alerts to the stakeholder, police authorities, and the users relatives. iv) Crime Visualization Module - It is used to store the crime detected in the repository and later it can be visualized through the web based Geographical Information System. v) Crime Prediction Module - It is used to make some crime predictions using the analysis of large volume of crime data. From the Figure 1, the person will be equipped with the wearable or implantable device for the purpose of tracking. The smart sensor is used to sense the emotions of the person or the user. The sensing device can also sense the heartbeat and the inner temperature of the user. In order to enhance the accuracy of the crime detection, the emotional status of the user will be recorded using the CCTV camera. The sensor will be interconnected to the CCTV camera for the reason of monitoring through the programmable CCTV cameras in order to know the human's emotional status. In case, if the person is in dangerous situation or any attack happened on the person, his/her emotion changes will be sensed using the smart sensor and it will be recorded using the CCTV cameras and the recording component of the emotion. Based on the emotion sensing and recording, Real-time crime detection will identify the crime and transfers the notification to the police authorities, user relatives, and parents, etc. The Crime detection
41 P a g e component is used to identify the crime based on the user's emotions which is sensed and recorded. Alertness and notifications will be sent to the patrol vehicle of the police officers in order to take immediate action once the crime is reported. The crime which is detected is stored in the database to visualize through the web-based GIS. The crime visualization component is used to store the crime which is detected in the database and later it can be visualized by using a web based Geographical Information System (GIS). The Large volume of data can be analyzed to predict the future crime and to help the authorities to concentrate on the hotspot areas. Crime prediction can be worked out by analyzing the large volume of crime data set, and prediction can be done for the future use. The areas like crime hotspot can be ignored and the help can be done to police by focusing on the problematic area. The data can be recorded related to criminals for the future reference by using automated system. In case, if they adopted, escaping from authority is difficult, because the fingerprint and other biometric data of the criminals will be already stored in the system.
The user should use the wearable sensor device to sense the heartbeat and inner body temperature. The emotions accuracy will be uncertain because the surprised person heartbeat and the person who is in danger heartbeat will be similar. To enhance the emotion detection, the users should be monitored via the CCTV cameras. The programmable CCTV cameras is used to identify 36 emotional states of the human. After detection of crime, the alertness and notifications can be transferred to authorities and emergency centers, parents. The Crime which is detected can be stored in the database for visualizing in the future. So that, it helps the police authorities and the users. The crime can be predicted by analyzing the emotional status and the biological data of the user which is received by the different sensors present within his/her body. Figure 2 shows the hardware architecture of the crime detection. The objective is to alert the users authorities and parents remotely by means of notification. The email can be sent to the smartphone of authorities, when a crime takes place. The PIR motion sensor is used to detect the action, and it will get activate once the motion is detected. The video will be recorded in the Pi camera module, once the sensor is activated. The alertness can be given through buzzer with continuous beep. The Raspberry Pi is the microprocessor which is designed with the Linux operating software. It consumes low power and performance will be similar to desktop computer. The Pi camera can take the video with high defined quality. The user's motion can be detected using Passive Infrared sensor. The Raspberry
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Pi with presence of PIR sensor and the camera will help to start the process of capturing video, if the intrusion occurs.
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Claims (6)
1. Internet of Things and Big Data Information and Communication Technologies has the good capability to overcome the crime challenges. These technologies results in crime free society.
2. The IoT and Big Data technologies is one of the solutions for monitoring, tracking and detecting the crime activities in real time. The proposed system is simple and flexible for tracking and locating the criminals.
3. The purpose of IoT in the crime is to detect and monitor in order to bring flexibility to the security agents because of the various different applications like monitoring in real-time, prevention of crime, forming information management system for crime, and the smart city implementation.
4. The proposed automated system is used to find out the human emotional status of the user and biological condition of the user in order to predict the criminal activities.
5. The main advantage is that, this type of technologies and tools will be useful for the police authorities to find out the crime for the purpose of the citizens to be safer side in the place where they live in.
6. Information and communication technology will give importance to prevent the crime before it happens, that will be better and powerful than executing the law after the crime takes place.
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CRIME DETECTION AND PREVENTION SYSTEM USING PERSONAL AND PUBLIC 02 Sep 2020
IoT NETWORKS
Drawings 2020102101
Figure 1: Crime Prediction and Monitoring system
1|Page
Figure 2: Hardware architecture of Proposed system
2|Page
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| Application Number | Priority Date | Filing Date | Title |
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| AU2020102101A AU2020102101A4 (en) | 2020-09-02 | 2020-09-02 | CRIME DETECTION AND PREVENTION SYSTEM USING PERSONAL AND PUBLIC IoT NETWORKS |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| AU2020102101A AU2020102101A4 (en) | 2020-09-02 | 2020-09-02 | CRIME DETECTION AND PREVENTION SYSTEM USING PERSONAL AND PUBLIC IoT NETWORKS |
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| Publication Number | Publication Date |
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| AU2020102101A4 true AU2020102101A4 (en) | 2020-10-08 |
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| AU2020102101A Ceased AU2020102101A4 (en) | 2020-09-02 | 2020-09-02 | CRIME DETECTION AND PREVENTION SYSTEM USING PERSONAL AND PUBLIC IoT NETWORKS |
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- 2020-09-02 AU AU2020102101A patent/AU2020102101A4/en not_active Ceased
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