Predict Crime with Artificial Intelligence
Crime forecasting with Artificial Intelligence
A crime is a deliberate act that can cause physical or psychological harm, as well as property damage or loss, and can lead to punishment by a state or other authority according to the severity of the crime. The number and forms of criminal activities are increasing at an alarming rate, forcing agencies to develop efficient methods to take preventive measures. In the current scenario of rapidly increasing crime, traditional crime-solving techniques are unable to deliver results, being slow paced and less efficient. Thus, if we can come up with ways to predict crime, in detail, before it occurs, or come up with a “machine” that can assist police officers, it would lift the burden of police and help in preventing crimes. To achieve this, we suggest including Azure machine learning (AML) and computer vision algorithms and techniques.
Computer vision is a branch of artificial intelligence that trains the computer to understand and comprehend the visual world, and by doing so, creates a sense of understanding of a machine’s surroundings. It mainly analyzes data of the surroundings from a camera, and thus its applications are significant. It can be used for face recognition, number plate recognition, augmented and mixed realities, location determination, and identifying objects. Research is currently being conducted on the formation of mathematical techniques to recover and make it possible for computers to comprehend 3D images. Obtaining the 3D visuals of an object helps us with object detection, pedestrian detection, face recognition, Eigenfaces active appearance and 3D shape models, personal photo collections, instance recognition, geometric alignment, large databases, location recognition, category recognition, bag of words, part-based models, recognition with segmentation, intelligent photo editing, context and scene understanding, and large image collection and learning, image searches, recognition databases, and test sets.
?A survey on crime analysis and prediction
A lot of police forces around the world have adopted mechanisms that use statistical data to guide their decision-making which is coined as predictive policing. As urbanization is increasing day by day, it is highly demanding to keep an eye on the criminal activities of each region so as to reduce the occurrences of unwanted behaviors. Prediction of crimes can be done only using the analysis of the patterns of criminal activities using the past data available with the concerned personals. This mainly makes use of the historic data and analyze them using Deep learning, Statistical Models and Algorithms.
1.???Predictive Policing
Crime statistics can be a tool in helping criminal justice professionals anticipate increased risk of crime. This can be followed up by law enforcement intervention to prevent the predicted crimes from occurring. The predictive policing data can help focus on a specific area and allow police resources to be used more effectively. However, the predictive value of crime statistics is debatable and still needs refinement. There have been several pilot projects using crime statistics to predict future crime, but the results have been inconclusive2. The goal is that with more work, crime statistics will become a tool to help decrease future crimes.
2.???Improving Community Relations
National crime data is an excellent tool in helping to improve relations with the community. Making crime data public increases transparency. While it can open criminal justice professionals to scrutiny, it also allows for a dialogue between law enforcement and the public they serve. As with any other government agency, the public deserves to be informed about how well police are protecting the community. Sharing crime statistics with the public increases trust in police and creates good working relationships.
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3.???Budget Formation
Budgets are a crucial part of law enforcement at the local, state, and federal levels. Making sure enough money is allocated to the right locations and programs can make a big difference in keeping communities safe. Crime statistics are important in creating accurate budgets4. They can show where more resources are needed, as well as where fewer resources are needed as a community grows safer. Without statistics, it would be impossible to create appropriate law enforcement budgets.
4.??Resource Allocation
Beyond just budgets, crime statistics are important in broader law enforcement resource allocation. For example, the data can be used to help determine which programs or communities will receive criminal justice grants. Crime statistics can also be used to determine where or when police officers will patrol based on areas or times that see higher crime5. While not going as far as predicting where crime will occur, the statistics do make it easier for criminal justice professionals to deploy their limited financial and personnel resources.
5.????Initiative Assessment
Law enforcement initiatives are created to decrease crime. Crime statistics are important in determining whether these initiatives are working, or if changes are needed. The data can show if crime is going up or down in the areas targeted. This can help criminal justice professionals understand whether their initiatives are successful.
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