Delivery in day(s): 5
1012CCJ Criminal Law Oz Assignment
The Internet of Things (IoT) is the notion of devices smart for everyday objects – being connected with each other with the help of internet. In some countries, already there are at least eight connected devices, ranging from security systems to tablets to fridges. In public spaces too, the IoT is becoming the foundation upon which businesses and governments are building services - from traffic light sensors providing travel directions, to home health care devices that alert professionals to changes in patient condition.
This includes everything from tablets to washing machines to burglar alarms to car parking sensors. It also applies to components of larger machines, like computer systems in a passenger airliner or the drill of an oil rig. Analysts argue that by 2020 there will be an estimated 50 billion connected devices.
In this study, the social issues that should be solved first were selected and their solutions were deduced, considering the types of social issues analyzed in the preceding studies and according to the OECD-reported priorities of South Koreans as to project quality of life. To do so, a crime prevention solution for improving the housing environment, which was presented as a social issue in preceding studies, and for which the South Korean government showed great concern, was developed and proposed. at is, in this study, a security managment system that uses the Internet of Things (IoT) was developed to improve the housing environment by preventing crimes. ( X. Li, J. Chen, X. Lin, 2011 )
The term “Internet ofThings” (IoT) was first introduced by an MIT RFID (Radio Frequency Identification) specialist, Kevin Ashitton, who said in 1999 that “The IoT will be constructed because RFID and Other sensors are mounted on things in daily life” . ThatIs, the IoT can be defined as a system wherein sensors andCommunication modules are mounted on things to enableReal-time data exchange and communication via the Internet
IOT Technologies for Crime Detection:-
In this section, we describe the proposed system that has the following modules:
EmotionSensing:- This sensor is attached on human body. The micro-part of this sensor is responsible to fetch heartbeat of the user and temperature of human body and further process the data. The big example of this is truth detection chair etc.
Emotion Controlling:- This sensor is also responsible for the recording of the emotions of human body and send the feedback to the server after process the received data in the unit of temperature and human heartbeats.
CrimeDetection:- After processing the data from Emotion sensor, crime detection examine the data received from these sensor and if there is any criminal activity observed by it , it call back to the police of the nearby hub for handle the situation.
Crimevisualization:- When crime detection observed the crime, it stores the crime data into database that has been handled by AI algorithms. It is totally possible by Geographic Information System.
CrimePrediction:- By analyzing the big amount of data regarding to crime , it is to get little idea about future scene of crime.
Applications of iot in community safety and crime prevention:-
Biometric identification consists of methods for uniquely recognizing humans based upon one or more physical or behavioral traits. Physiological characteristics include fingerprint, face recognition, DNA, palm print, handwriting, iris recognition and odor. Behavioral characteristics include voice and gait, to name but a few.By, this police can easily examine the victim of motor industrial accident by mobile biometric devices. Moreover, it can identify suspects carrying false or no identity documents.
South Africans consume 5 billion liters of alcohol per year according to the Medical research Council. More that 60% of hospital trauma cases were the result of drunkenness. Half of the road accidents were as a result of drunkenness. For this, there are a number of IoT devices that can assist Sensors that measure blood alcohol content by smelling your breath have been around since 1938 when the drunken meter was invented.
3.Copper theft detection:-
As copper prices increase, the occurrence of copper wire theft increases as well. Reliable detection of theft activity is done by monitoring locations through sensors to detect unauthorized access. It can also be done at electrical-switch locations to continually monitor the response to high frequency pulses while detecting changes in wire properties of the circuit. It reduces theft rates by quickly responding to unauthorized access alerts.
For safer schools CCTV cameras, perimeter fences, metal detectors and alarm systems need to be in place. An alarm system can have GPS coordinates, so that when it goes off the control centre can easily locate the site. Electronic fences can either be wireless of in-ground. Wireless fences have an electronic base unit that emits radio waves up to a certain range. A receiver and transmitter send an alert to the relevant body. In-ground fence picks up radio waves and beeps once someone crosses the fence. Perimeter security can have fiber optic stretched along the fence. An anomaly such as a bend or twist in the fence, no matter how slight, would show a slight variation in the color of light (different wavelengths contained in white light reflect at different angles). An optical time reflect meter (a type of radar for light) attached to the fiber optic would locate the spot, within about a meter, where the twist or bend took place and a search light could be instantly aimed at the point 
The crime prevention using security camera:-
As we know, our traditional cameras are responsible only for record the scenes. It does not able to detect criminal activities;indirectly it is depended n 24*7 services of a human to take eye for it. Thanks to AI who gives us that kind of algorithm that automatically examine the scene. And with the help of IoT it sends the acknowledgement to the police if there was any.closed circuit television (cctv) in placed in various public location is very effective tool to prevent the crime.
This cameras are widely used in traffic signals where if anybody break the rules of signal the dedicated cameras automatically detected the activity and generate the criminal document of particular vehicle and also send it to corresponding address registered with it.(Inkwazi Vehicle Tracking system ,2013)
In this assignment, we introduced the design of IoT based smart crime detection systemthat is able to detect crimes in real-time by analyzing the human emotions.When we considering the power of IoT in deep manner we find it very useful. We can use IoT to kill the crime from its root. We can solve numbers of problems related to any stream. It can also help us solving the issue related to medical,financial services ,education(for example in school ,collages),transport ,environment,projects, agriculture(for example issue of underground water level)sports, entertainment etc. One ofthe main advantages of proposed method is that it is serves as a useful tool forboth police agencies to determine crime and citizens to be on the safe side of theplaces they live in.Moreover,crime detection through using the internet of things(IOT) is helpful in solving complex crime problem of society. The various aspects of the IOT such as emotion sensors , crime prediction sensors, emotion controlling etc. not only helping in crime detection but also providing safety to society .And such techniques enforce people to obey rules and law seriously. security cameras easily help to prevent several incidents of mishappening through recording the footage. IOT not only helps in past and present but also there are various possibilities that in future there would be more techniques which easily identify crime and criminal.Even now prediction of crime becomes easy due to IOT.however,still there are scientist and technologist working in this field for developing the fast and easy way to solve complex project management cases.
1.X. Li, J. Chen, X. Lin, Smart Community: An Internet of Things Application, Communications Magazine,49 (2011), 68-75.
2.Nonuse Dlodlo1 , Paul Mbecke2 , Mofolo Mofolo3 , Martin Mhlanga4 CSIR – Maraca institutePretoria, South Africa Email: ndlodlo1 , pmbecke2 , mmofolo3 , mmhlanga4 }@csir.co.za
3.Hindawi Publishing CorporationInternational Journal of Distributed Sensor Networks
4.Inkwazi Vehicle Tracking system, www.marshall.co.za/vehinkwazi.html, Available online, Accessed 28/7/2013.