Vehicle Theft Research Articles

Impacto da gestão nos indicadores de criminalidade:

A Emenda Constitucional nº 19/98 incluiu o Princípio da Eficiência no art. 37 da Constituição Federal, sendo de observância obrigatória pela administração pública. Além disso, diante da tendência de redução no contingente, sem perspectivas de mudança, é fundamental que o gestor de polícia conheça e aplique metodologias que qualifiquem o emprego do seu efetivo. O objetivo deste estudo é apresentar a aplicação do Sistema de Gerenciamento dos Indicadores do Avante (SIGA) de tecnologia embarcada em áreas de maior ocorrência de delitos e os seus resultados. A metodologia é de natureza quantitativa, sendo um estudo de caso exploratório do 20º Batalhão de Polícia Militar do Rio Grande do Sul e ainda de revisão bibliográfica e documental. Os resultados indicam que houve redução de 12,4% nos indicadores de criminalidade na área de aplicação do Método SIGA, enquanto fora dessa área houve aumento de 4,4%. Sobre o impacto da aplicação do Método SIGA nos indicadores de criminalidade, verifica-se que, entre a área da aplicação do Método e fora dela, houve uma diferença de mais de 16% nos indicadores de criminalidade. Os indicadores de criminalidade que se reduziram a partir da aplicação do Método SIGA foram roubo a pedestre, roubo e furto de veículo, roubo a estabelecimento comercial e homicídio doloso. Conclui-se que o Método SIGA corresponde a um meio de orientar a gestão operacional de uma corporação de polícia ostensiva quanto ao número de policiais que devem ser alocados, com base nos indicadores de criminalidade.

Impact of COVID-19 on Selected Criminal Activities in Dhaka, Bangladesh.

The COVID-19 pandemic had a substantial impact on the historical criminal trend around the world. This study explores the early impact of COVID-19 lockdown on selected crimes in Dhaka, Bangladesh. Based on open data of the total number of arrests reported by Dhaka Metropolitan Police (DMP), an uninterrupted historical time series analysis is applied to evaluate the immediate impact during and after the official stay-at-home order due to COVID-19. Auto-regressive moving average (ARIMA) modeling technique was used to compute 6-month-ahead forecasts of the expected frequency of the total number of arrests for illegal arms dealing, vehicle theft, and narcotics trafficking in the absence of the pandemic. These forecasts were compared with the observed data from April 2020 to September 2020. The results suggest that the observed numbers of total arrests for vehicle thefts and illegal arms dealing are not significantly different from their predicted values. However, the observed frequency of the total number of arrests for illegal drug trafficking shows a steep upward trend, which is 75% more than that of the expected frequencies. Estimated results are used to recognize scopes and suggestions for future research on the relationship between crimes and the pandemic.

Strategi Tata Kelola Keamanan di Wilayah Rawan Tindak Kriminalitas Pada Masa Pandemi Covid 19

Security and orderliness is a basic need that is always expected by the community carrying out their daily activities. Lampung Province is one of the provinces in Indonesia with a fairly high crime rate. Especially in the Bandar Lampung area, the security and public order situation (Kamtibmas) is dominated by the problem of criminal acts of theft with violence and theft of motor vehicles or what is often called Curat, Curas and Curanmor (C3). The Bandar Lampung City Police is one of the state institutions that has the duty and obligation to maintain and at the same time create security and order in the area which is its responsibility. The research method used is descriptive with a qualitative approach, data collection is done by observation, documentation and interviews. The results show that the implementation of the strategy carried out by the Bandar Lampung City Police in realizing security governance has not been maximally achieved because based on the data obtained, the crime rate has increased by 5% in the current Covid-19 pandemic era.

Designing Motorcycle Safety System Using Fingerprint Sensor, SMS Gateway, and GPS Tracker Based on ATMega328

A motorcycle security system has been designed using an ATMega328 microcontroller by applying fingerprint, SMS and GPS. The system consists of a GPS Module and a SIM Module. The system is designed to find the position of a stolen motorcycle via a Google Maps and create a security system on a motorcycle that uses a fingerprint sensor as a substitute for the key to turn on and turn off the motorcycle engine. ATMega328 is used as a processor, with additional GPS, GSM SIM 8000I, relay and buzzer. When a theft occurs, the system will send an SMS contained Google Maps link to the owner of the motorcycle. The results of the system design are expected to minimize the crime rate in motor vehicle theft cases.

A decentralized vehicle anti-theft system using Blockchain and smart contracts

In recent years, vehicle theft has been increasing remarkably. It is a stigma to our society. The impacts of vehicle theft have been drastically affecting the social safety and economic condition of the whole world because of unavailability of a proper theft detection mechanism. The few existing vehicle anti-theft systems suffer from major problems such as the leakage of personal information, centralized-based system, proper key management, and data security. In this paper, a decentralized Blockchain-based Vehicle Anti-Theft System (BVATS) is proposed to overcome these problems using smart contracts. Blockchain is a very cutting-edge decentralized technology that is well-equipped with data immutability and a secure information-sharing platform. The smart contract is a digital agreement, which can authenticate an entity automatically and stores information by verifying the predefined condition(s). This paper also explains how Blockchain can be adopted for vehicle security and provides a stepwise implementation of the proposed methodology by providing test bed results and significant critical comparison analysis with other existing systems. Using the BVATS, more than one person can be authorized to drive a vehicle without hampering the vehicle data and maintining security.

SISTEM PREDIKSI TINGKAT KRIMINALITAS MENGGUNAKAN METODE TRIPLE EXPONENTIAL SMOOTHING: STUDI KASUS PADA POLRES KABUPATEN PROBOLINGGO

Criminality is all forms of action and conduct that violate the law as well social and religious norms that are detrimental to the society both economically and psychologically. The emergence of verious crime forms with new dimension recently shows that the criminality is always developing. In the effort to reduce the increase of the crime rate, a crime action prediction system is needed to anticipate the future. In this research a crime rate prediction system based in the types of criminal action using Triple Exponential Smoothing (TES) method has been developed, and the prediction accuracy of the system is measured by using Mean Absolute Percentage Error (MAPE) method with a case study on Resort Police of Kabupaten Probolinggo, East Jawa. From the conducted test, obtained results MAPE score of theft by weighting (Curat) type is 7% or Very Accurate prediction criterion. MAPE score for crime action type Others, motor vehicle theft (Curanmor), Destruction, and Fraud are 9.8%, 14.4%, 13.6%, and 16%, or Good prediction criterion. For crime action type Beatings, violent theft (Curas), severe persecution (Anirat), Murder, and Thief each one has MAPE score 23.2%, 31.2%, 21.2%, 33.2%, and 50%, or Reasonable prediction criterion, while MAPE score for Animal Theft is 92% or Inaccurate prediction criterion. In general, the criminality rate prediction system using TES method that has been developed for the case study on Resort Police of Kabupaten Probolinggo obtains MAPE score 28,3% or Reasonable prediction criterion.

Performance Analysis of the General Criminal Investigation Directorate in Revealing the Crime of Theft

Abstract: This study aims to determine the role of the general criminal directorate detective in uncovering the crime of car theft in the Acc Finance warehouse. This type of research uses empirical legal research with a qualitative approach. The results of this study indicate that the efforts made by the Gorontalo Regional Police, especially to prevent the occurrence of car theft crimes, the police conduct raids/control operations on motorized vehicle completeness (sweeping), especially cars on a regular basis in several locations that are known to be places that are prone to car theft crimes. , conduct counseling on the dangers of the crime of theft of motorized vehicles, especially cars, billboards advertising public services with an appeal to members of the public to be more careful in storing and or parking motorized vehicles, especially cars, in collaboration with the surrounding community to prevent crime. the crime of vehicle theft by giving an appeal so that community members remind the security system in their respective environments by means of preventive measures in the form of raids/operations by directly involving community members to further improve security and the environment. their territory by increasing the security system and the active role of community members in an effort to improve security in their respective environments.

Android Application for Crime Prevention with GPS Integrated Technology

Vigilance is a top priority in carrying out daily activities considering the number of various crimes that arise due to the increasingly rampant social conflicts regardless of economic class. During 2019, the crime rate in the Labuhanbatu police area (Labuhanbatu, Labuhanbatu Selatan, Labuhanbatu Utara) increased by approximately 10 percent from the previous year, and is still dominated by criminal theft with ballast, motor vehicle theft and drug cases, as for the case data in 2018 there were 4,412 cases and in 2019 4,663 cases. Based on the case, the researcher wants to help the community and the police in preventing crime, especially in Labuhanbatu. The research method used is descriptive method that is research based on actual data by comparing theories and then drawing conclusions. This research will create an Android-based application that helps the community and the police in preventing or overcoming crime. This crime alarm application makes it easy for people who use when a crime occurs because it can be accessed directly on the phone and help the police in handling crime.

FUNGSI CRIME INDEX BAGI POLRES SOLOK KOTA DALAM PENANGGULANGAN TINDAK PIDANA

The method for preparing the Crime Index by the Solok Kota Police is to compile indicators of the level of crime that has occurred, such as the total crime rate, the crime rate, and the crime clock. Is it based on the form of crime that often occurs, or is it based on the fluctuation in the number of crimes each month. The function of the Crime Index in Handling Crime by the Solok Kota Police is to carry out various activities to reduce the high number of crimes that occur by viewing and using criminal statistics and the criminal index created. By using the criminal index, it can be seen that the highest crime rate in the Solok Kota Police jurisdiction is the crime of theft with weight followed by motor vehicle theft. Efforts are being made to carry out various forms of police operations, one of which is the Singgalang / Jaran Singgalang pursuit operation. Besides conducting the Jaran Singgalang operation, Concentrated Operations were also carried out with the target of gambling. Operation Brush with the target of theft by weight and theft by force and Operation Tumpas Bandar with the target of trafficking narcotics.

CURRENT STATE OF ORGANIZED CRIME AND COMBATING IT ON THE TERRITORY OF UKRAINE

The article states that given the complex nature of organized crime, the complex security environment around Ukraine and the criminogenic situation, the organization of a systematic fight against organized crime should become one of the priorities of public policy and requires effective interdepartmental measures and deepening law enforcement cooperation. It was found that organized crime in Ukraine is steadily developing and structuring, involving representatives of state authorities, local governments, law enforcement agencies, the judiciary, etc. in this process. The current state of organized crime threatens the national security and integrity of the state, which requires urgent administrative and legal measures to combat it. The fight against organized crime is not an isolated problem, to which there is now a simplified attitude to the inconsistent actions of individual actors, but a complex, complex administrative and legal mechanism that needs a strategic solution. The author analyzes the spread of organized crime by region of Ukraine during 2014–2018. Thus, in 2014 the most organized groups were found in Kyiv (14), Odessa (12), Kharkiv (10) Donetsk (9), Luhansk, Poltava, Chernivtsi regions (8 each), the least in Kyiv and Kherson regions (3 each). The author notes that high organization, the acquisition of transnational ties, in a certain inertia of national law, turns modern organized crime into a global threat to the world and international law and creates obstacles to socio-economic progress. The author argues that organized crime is the most complex and dangerous anti-social phenomenon, which is not limited to state borders. Today it poses a real threat to the state and society, manifested in the invasion of politics, economics, social, security, banking, financial and credit, law enforcement, privatization, investment, nature and other vital areas of the state, creating shadow criminal schemes in them.; establishing control over customs authorities; interference in the development of market relations; blocking effective reform processes in the state; organization of criminal activity in such areas as: drug trafficking, prostitution, gambling, illegal arms trafficking, theft and smuggling of vehicles, illegal migration, human trafficking, human organ transplantation; merging with international crime, creation of international organized transnational criminal organizations, etc.

Prescription drug monitoring programs, opioid abuse, and crime

AbstractWe study the effects of prescription drug monitoring programs (PDMPs) on crime, and inform how policies that restrict access to Rx opioids per se within the healthcare system would impact broader non‐health domains. In response to the substantial increase in opioid use and misuse in the United States, PDMPs have been implemented in virtually all states to collect, monitor, and analyze prescription opioid data with the goal of preventing its misuse and diversion. Using a differences‐in‐differences approach and data on offenses known to law enforcement from the Uniform Crime Reports (UCR), we find that mandatory access PDMPs reduced overall crime by 5%, particularly driven by assault, burglary and motor vehicle theft. Overall, these results provide evidence that appropriately designed PDMPs are an effective social policy tool to mitigate some of the negative consequences of opioid misuse, and more broadly indicate that opioid policies can have important spillover effects into crime.

SISTEM KEAMANAN PELACAKAN KENDARAAN BERMOTOR MENGGUNAKAN RASPBERRY PI 3 DENGAN MODULE GPS SECARA REALTIME BERBASIS WEB

Motor vehicle theft is a criminal problem that very often occurs in the community. Along with the development of technology and the level of demand for motor vehicle safety in the community that begins to increase. One of the devices that has been developed is Internet of Things (IoT) technology which is able to connect and facilitate the communication process between machines, devices and humans via the internet network. The purpose of this research is to develop a monitoring application that utilizes IoT technology as a medium for tracking the location of motorized vehicles. This research consists of 3 main system components, including the End Device System found on the Raspberry Pi device, Web Service (Back-End System) as a service for data transfer, and Front-End System user interface in the form of a website application. This system has several main features, including realtime tracking and is equipped with an activity log which can be used to determine the identity of the vehicle user. Users can access these features through the application from the website. Based on the trials conducted, this system works well on motorized vehicles, however, this system has more dependence on the internet network available in each region.

Automatic Toll Collection System and Detection of Theft Vehicle by using RFID

The road transportation in India has growing day by day. The Indian road network carries about 65 percent of its Goods and about 85 percent of passengers. The national highways in India are now increased from 44,076 miles to 88,313 miles in 2018 to 2019. Along these road networks there are about 450 toll plazas totally in India. These toll plazas contribute some major part of India’s economy, it is estimated the toll revenue can swell up to 1 lakh crore rupees in next five years. In spite of this enormous growth the toll plazas have huge traffic during peak most of the time which incurs delay and loss human hours to surpass the toll. The proposed system focuses on an automatic toll collection system which will automatically debit the amount from vehicle owner’s bank. The automated registration and collection are based on using the RFID chip which is amalgamated in the vehicle’s windshield. By this method, the information about registration ID of the vehicle can be obtained therefore stolen vehicle can also be detected by this system as the vehicle ID is linked to the user’s account. Thus, this system provides fast and efficient surpassing of toll plazas without any delay.

Face Recognition System for Prevention of Car Theft with Haar Cascade and Local Binary Pattern Histogram using Raspberry Pi

In this era, the occurrence of vehicle theft has become a fairly frequent problem, especially in big cities like Jakarta and Surabaya. Although the technology for car security is very sophisticated (e.g. keyless system), but there are many cases that thieves still can break into the system. Once a car was stolen, the whereabouts of the car was unknown and the thief was on the loose. The goal of this research is to overcome this problem. As a device, this research works on Raspberry Pi 3 that connected with the Raspberry Pi Camera. Using the OpenCV library, with the Haar Cascade method for face detection, and Local Binary Pattern Histogram for face recognition. The device must be connected to the internet in order to send the information using a Telegram message. The research results show the success of the device system in face-recognizing between the car owner and car thief with optimal conditions in the morning until the afternoon with the light intensity around 660 to 1000 lux, and best recognizing distance at 50 cm. The success rate for obtaining the car’s location for the outdoor condition is 100%. Even if there is a slope or an error data, it can be tolerated because the difference was not too high, about 0.1-1.0 m.

Rancang Bangun Pengaman Sepeda Motor Menggunakan RFID Berbasis Arduino

The safety of a motorcycle is very important for vehicle owners. Until now, most motorbikes still rely only on the key to contact the vehicle itself. In the case of vehicle theft, it is very easy for the perpetrator of the theft to use the letter "T" key. Therefore an additional vehicle safety is required which is difficult to break apart from the ignition key. The purpose of this research is to design and implement motorcycle safety using Arduino-based Radio Frequency Identification (RFID) as additional vehicle safety. The author uses an RFID card / tag to add security to the vehicle starting system with a card / tag reading distance that can be read by an RFID reader. The ID code on the RFID Card must be inputted into the Arduino so that the RFID reader can read the ID Card that has been inputted into the Arduino. Based on the results of the tests that have been done, it is found that the reading distance of the RFID Card / Tag ranges from 1 cm to 3.5 cm. If the correct ID code is inputted, the electrical system is active and vice versa if the ID code entered is wrong, the buzzer will sound and the electrical system in the vehicle is not active / does not turn

Spatially Varying Unemployment and Crime Effects in the Long Run and Short Run

The Cantor and Land model of unemployment and crime separates the effects of long- and short-run unemployment. In the long run, increases in unemployment are expected to increase crime, whereas the same increases are expected to decrease crime in the short run. This model has been tested for decades, generally supporting these predictions. In this article, we investigate spatial variations in these relationships using geographically weighted regression. Using crime data from Vancouver, Canada (commercial burglary, residential burglary, mischief, theft, theft from vehicle, theft of vehicle, and aggregate property), we find global models do not exhibit statistically significant unemployment–crime relationships, but they do emerge in local (geographically weighted) regression. These results have important implications for theoretical development, policy formation, and policy evaluation.

Integration of opencv raspberry pi 3b+ and camera sensor in access control of vehicle ignition key system

The use of sensors for safety and comfort in vehicles has increased, as in several studies that are being discussed, including the use of pressure sensors for applications in the TPMS system or face recognition system security. The purpose of this research is to reduce vehicle theft that is happening right now. This system consists of a face recognition system. This reason is based on the ineffectiveness of the vehicle handlebar / steering lock. But in this study, a vehicle safety prototype was designed with a face recognition method in the hope that this prototype was designed to provide a sense of comfort, security and also the vehicle becomes a privacy vehicle. The method used is the Local Binary Path Histogram method to detect image objects and a small camera to capture images of the face, using the Raspberry Pi as a tool control center (in which the process occurs: Scanning, Extracting, Comparing, Matching, and all have been incorporated in OpenCV). The output of this study is the face that has been recorded in the database as access to open access to vehicle security. The conclusion of this research is the process of facial recognition in real time activating the vehicle ignition lock system.

THE CIRCUMSTANCES OF CAR CRIME AND CURRENT CHANGES IN ITS PROFILE

The article presents the evolution of car crime. It discusses the causes and conditions of vehicle theft. It also presents an aspect of the professionalisation of criminals, which was infl uenced by the emergence of modern anti-theft systems. It has also resulted in the creation of groups, among which individuals are engaged in a specifi c task involving planning, taking the vehicle, and then its legalisation and sale. The paper also discusses the issues of counteracting car crime, including the importance of international cooperation of police services and cooperation of vehicle manufacturers, which helps to prevent such criminal acts.

Spatial and temporal variations in motor vehicle theft in a university environment

ABSTRACT The purpose of this research was to identify spatial and temporal variations in motor vehicle thefts on a public, 4-year University campus and in the surrounding community. Utilizing Routine Activities Theory, it was hypothesized that the presence of tens of thousands of students on campus and in the surrounding area would provide an influx of opportunities (suitable targets) and that guardianship of these vehicles is likely lower among college students than among the general population. Our results generally support the latter hypothesis. The results also show that the locations of thefts and the aggregate measures of motivated offenders, guardianship and opportunities influence the location of thefts. Preventative measures to increase guardianship and decrease target suitability are discussed.

Let’s go throwing stones and stealing cars: offender adaptability and the security hypothesis

The security hypothesis posits that the international crime drop can be attributed to, in large part, improvements in security technology. However, in recent years, certain types of property crime are increasing. In this paper, we test the hypothesis that offenders are adapting to increased security in vehicles through burglarizing residences to steal keys. We analyze residential burglaries, thefts of vehicles, and their co-occurrences in Brisbane Australia (2009–2018) to identify changes in their temporal patterns. Residential burglaries declined while thefts of vehicle remained relatively constant. Co-occurrences of residential burglaries and thefts of vehicle doubled while the rate almost tripled. Data signatures indicate a shift in modus operandi showing significant increases in the use of residential burglaries to facilitate thefts of vehicle.