Terrorism detection using Spatial Large Language Models

#future #futurist #ai #robotics

— Spatial information to improve prediction and understanding of potential threats.

— Detect weapons being carried in public places with the context.

— This can be used in urban areas as well as on country borders.

— Any form of terror activity can be trained to be detected by the Spacial Language Model.

— Training of spatial models can be performed on existing spatial language models with new supervised images of weapons of any kind.

— Training can also be performed on kinds of public attacks which can be learned with spatial language models.

— These can be installed in CCTV cameras.

—Other areas where AI can learn are movie scenes where a patch of movie is defined as terror activity.

— Old recordings of real-time data can be fetched in Spatial LLM

—Other areas where AI can learn are movie scenes where a patch of movie is defined as terror activity.

— Old recordings of real-time data can be fetched in Spatial LLM

— These terrorism detection techniques can also be installed at a country’s borders, so that terrorists can’t enter the country.

— This is different from immigration where no weapon is being used.

— All kinds of weapons can be trained.

— There can be use of satellite images for open areas and along borders, for example.

— The training may take some time.

— Training on synthetic terrorism data is to be followed.

— We need to save lives.

— We need to end terrorism of any kind.

— The challenges here are the dynamic nature of terrorism; there is no one way, hence synthetic data needs to be provided.

— Accuracy is essential.

— Prompt message passing to authorities is to be added to this app. Meaning active engagement with law enforcement bodies to reach the place.

— Fast message passing to people in charge of handling the situation.

— The application is to be installed in all CCTV cameras of public and allowed private grounds.

— Privacy needs to be taken care of, hence the algorithm needs to be pursued in an automatic mode, and to be accessed by experts only when an alarm is raised, or when needed.

— Intelligent calling for help needs to be installed here. Such as self-defence sirens, to mention a few.

— Past data can be fed into the SLM for prediction; however, the technique mentioned here would analyse all public CCTV cameras as well as satellite images across borders and sensitive areas such as grounds with parking lots.

— Past data can be obtained from body cams and other sources to make terror activities more closely identifiable.

— Guns should not be allowed in public areas.

— And terrorism at country borders must end.

Thank You for reading.

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Nidhika