scholarly journals Vehicle Anti-Theft Technology

Author(s):  
Jayesh .

Property crimes are said to hover around 10 million annually. Of this, vehicle theft tops the list and often occurs in all parts of the world. In response to a Right to Information (RTI) query made by The Indian Express shows that a total of 2,801 motor vehicle thefts took place in 2020 Mumbai, where in 1,085 cases account for 39 per cent of the total cases detected. Of the total 2,801 vehicle theft cases, 2,019 cases were of two-wheelers, 185 were four-wheelers and the remaining 623 cases were thefts of other vehicles like rickshaws, tempos etc.. The methods currently involved in vehicle theft detection such as buzzers and alarms have become cognizant to everyone including the burglars and effortlessly override the system and steal the vehicle. This paper proposes a system presenting a mechanism to mitigate the possibility of vehicle thefts. The system provides security by sending an SMS message as soon the vehicle is moved or crosses Geo-Barrier grid without knowledge of owner and also provides the owner with set of actions that can also be taken. System also offers location updates timely to the registered devices through SiM7600E. New features can be periodically be added hence making it future proof.

Author(s):  
Yoni Aswan ◽  
Sarjon Defit ◽  
Gunadi Widi Nurcahyo

Crime is all kinds of actions and actions that are economically and psychologically harmful that violate the laws in force in the State of Indonesia as well as social and religious norms. Ordinary criminal acts affect the security of the community and threaten their inner and outer peace. The research location is the Mentawai Islands Police, which is an agency that can provide security and protection for the community, especially those in the Mentawai Islands Regency. The problem is that it is difficult for the Mentawai Islands Police to classify areas that are prone to crime in the most vulnerable, moderately vulnerable and not vulnerable categories. Especially considering the condition of the Mentawai, there are four large islands consisting of 10 sub-districts, where crime is increasing every year, especially those in the Mentawai Islands Regency area such as motor vehicle theft. Based on the background of the problem above, the researcher is interested in taking research in creating a system to predict the crime rate in the Mentawai Islands Regency in order to anticipate the surge in crime that will come. The method used is the K-Means Clustering Algorithm as a non-hierarchical data clustering method to partition existing data into one or more clusters or groups. This method partitions data into clusters so that data with the same characteristics are grouped into the same cluster and data with different characteristics are grouped into other clusters. Clustering is one of the data mining techniques used to get groups of objects that have common characteristics in large enough data. The data used is data on cases of criminal theft of motor vehicles for the last 5 years from 2016 to 2020. The results of the test show that South Sipora District is an area prone to the crime of motor vehicle theft.


2019 ◽  
Vol 8 (5) ◽  
pp. 203 ◽  
Author(s):  
Zengli Wang ◽  
Hong Zhang

It has long been acknowledged that crimes of the same type tend to be committed at the same location or proximity in a short period. However, the investigation of whether this phenomenon exists across crime types remains limited. The spatial-temporal clustered patterns for two types of crimes in public areas (pocket-picking and vehicle/motor vehicle theft) are separately examined. Compared with existing research, this study contributes to current research from three aspects: (1) The repeat and near-repeat phenomenon exists in two types of crimes in a large Chinese city. (2) A significant spatial-temporal interaction between pocket-picking and vehicle/motor vehicle theft exists within a range of 100 m. Some cross-crime type interactions seem to have a stronger ability of prediction than does single-crime type interaction. (3) A risk-avoiding activity is identified after spatial-temporal hotspots of another crime type. The spatial extent with increased risk is limited to a certain distance from the previous hotspots. The experimental results are analyzed and interpreted with current criminology theories.


2019 ◽  
Vol 15 (2) ◽  
pp. 151
Author(s):  
Asha Bhatia ◽  
Sanjwani Jayant Kumar

There is an increase in number of accidents, injuries and deaths due to a rise in motor vehicle population. India is a signatory of the Brasilia Declaration with an agenda to reduce the number of accidents by 50% by the year 2020, yet it can be observed that the incidents of accidents have not decreased. There were 285 million visually impaired people in the world, of which 246 million had low vision and 39 million were blind as per the World Health Organization report (2012). It is alarming to note that around 90% of the blind live in the developing world. They are constantly dealing with challenges in their day to day life. Commuting by roads is all the more unsafe for these visually challenged pedestrians. This unique study has conducted an in depth interview to understand the needs and problems faced by the visually challenged pedestrians, followed by a primary survey on World White Cane Day to judge the extent of awareness of the correct technique. The appropriate techniques were then demonstrated to the general public, thus creating awareness and the behavioral changes needed in this endeavor. The paper has used a theoretical concept and practically suggests policy implication for empowering the disabled through awareness drives and collaborating with various government agencies.


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