NakTrack

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How It Works
NakTrack Application
AI Gun Detection
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NakTrack

NakTrackNakTrackNakTrack
Home
How It Works
NakTrack Application
AI Gun Detection
Contact Me
More
  • Home
  • How It Works
  • NakTrack Application
  • AI Gun Detection
  • Contact Me
  • Home
  • How It Works
  • NakTrack Application
  • AI Gun Detection
  • Contact Me

A Machine Learning Approach to City Safety

A Machine Learning Approach to City SafetyA Machine Learning Approach to City SafetyA Machine Learning Approach to City SafetyA Machine Learning Approach to City Safety

Court Appointed Tracking

Facial Recognition

Dynamic Proximity Geofencing

AI Gun Detection Technology

A Machine Learning Approach to City Safety

A Machine Learning Approach to City SafetyA Machine Learning Approach to City SafetyA Machine Learning Approach to City SafetyA Machine Learning Approach to City Safety

Court Appointed Tracking

Facial Recognition

Dynamic Proximity Geofencing

AI Gun Detection Technology

The Science Behind the Safety

Court Appointed Tracking

Court-appointed location tracking refers to the use of technology, such as GPS, to monitor the location of an individual who is under court supervision. This can be ordered by a judge as a condition of bail, probation, or parole. The individual's location is tracked in real-time, and the information is often transmitted to a monitoring agency or law enforcement. The purpose of court-appointed location tracking is to ensure that the individual is following the conditions of their release and to prevent them from committing further crimes or violating the terms of their supervision.

Facial Recognition

Facial recognition is a technology that uses artificial intelligence and machine learning algorithms to identify and match human faces in digital images and videos. It can be used for various purposes, such as security and surveillance, identity verification, and tagging and organizing photos.

Facial recognition systems work by analyzing the unique features of a person's face, such as the distance between the eyes, nose, and mouth, the shape of the jawline, and the depth of the eye sockets. These features are then compared to a database of known faces to find a match. The process of matching can either be one-to-one (comparing a single image to a single record) or one-to-many (comparing an image to a large database of records).

Facial recognition has been widely used in various fields, as an example in Law enforcement, it can be used to identify suspects in security footage and to automatically match a suspect's face with mug shots in a database. Facial recognition technology has been a topic of intense debate and criticism in recent years due to concerns about privacy, accuracy, and bias.

Dynamic Proximity Geofencing

A geofence is a virtual boundary that is defined by GPS coordinates and is used to create a geographic area of interest. When a device enters or exits this area, it can trigger an action or alert. Geofencing is a technology that is used for personal safety.

A geofence can be created using a combination of GPS, Wi-Fi, and cellular data to track the devices location, and to trigger a notification. The size and shape of a geofence can be customized, and it can be as small as a single building or as large as a city.

The NakTrack system uses a machine learning algorithm to predict when two people from opposing groups will "collide" and their geospheres overlap or approach each other. This can trigger a notification for law enforcement to provide a physical presence to the location.  The distance and overlap can be adjusted and predicted based on speed and a variety of distinct factors.  The groups can be members from different gangs, or even a domestic violence survivor with his or her abuser.

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