Today we face increased gun violence that threatens our schools, places of worship, businesses, and government offices. But what if we could detect tragedies before they happen? The latest AI software can be used in IP video surveillance systems to automatically detect anomalies, suspicious activities, or objects of interest, enhancing security and enabling faster response to potential threats. It helps to stop violent actions before they happen.
This article describes how the latest AI software can help increase safety by analyzing many threats, such as detecting a person with a gun entering your facility, or notifying security if someone falls.
Artificial Intelligence (AI) is a broad term that ranges from limited or narrow intelligence (ANI) to Super Artificial Intelligence (ASI).
The AI-enhanced Software provides the following functions:
The purpose of the software system is to enhance and augment the effectiveness of security personnel. It reduces the response time of security units in an emergency. We know that every second can play a decisive role in saving lives. The software integrates with IP camera systems to create a complete security threat alert system.
AI-enhanced Software uses Narrow Artificial Intelligence to analyze data coming from IP cameras. It then processes the acquired data to generate meaningful information about the activity contained in the video stream. AI-enhanced Software detects potential threats posed by a suspect’s actions or from vehicles.
The AI-enhanced Software software uses biometric identification of individuals to search, identify and track suspects continuously. It can locate the most wanted individuals, registered sex offenders, and missing persons nationwide.
The analytic software analyzes the collected data and distributes alerts to the law enforcement response units through the web and mobile channels. It provides information about the threat, location, and the suspect’s identity.
The AI software helps prevent acts of terrorism by tracking movements and identifying rogue activities and individuals. It can detect the use of suspicious items, including but not limited to different weapon types, track and alert on cargo movements, unattended bags, etc.
Object Detection includes the identification and classification of objects. It enables Intrusion Detection, Occupancy, Counting, Smart Parking, Intelligent Traffic Management, and Thermal Screening. This engine also uses smart targeting.
Action Detection is used for solutions like Fight/Violence/Assault detection, Smoke and Fire detection, Slip and Fall detection, Detection of Suspicious Shopping Behavior that may result in shoplifting, etc.
Threat Detection: The Fusion of “Object” and “Action” Detection triggers Threat Detection. The combination of object (such as a weapon) detection and also the handling of it (action) generates the threat alert.
The threat alert software can analyze video feeds from mobile camera systems. The mobile video capability can be used in Unmanned Vehicle (UAV) or body-worn cameras. This allows the monitoring of peripheral activity and helps apprehend criminals.
The IP camera system is an essential part of threat analysis and detection. The IP cameras must be carefully positioned to see areas of interest with enough clarity so the processing software can use them. There are two aspects to this positioning. The first is to view places where you expect people, and the second is to ensure that the video captured is at the correct resolution for the processing software.
The AI software requires a minimum resolution to identify the significant area of interest. For example, it requires a minimum resolution across the target to identify a person’s face or a license plate.
Artificial intelligence can be added to existing surveillance systems to provide immediate notification of many dangerous situations. It can detect if someone falls, to a person entering the premises with a gun.
The resolution required to identify a person depends on several factors, including the lighting conditions. We can identify someone we know based on their face, what they wear, and how they move. More resolution is required to recognize someone you don’t know. This is considered forensic picture quality. Automated facial recognition systems usually need more resolution to make a reliable comparison with a stored image. For successful recognition, many computerized systems require about 50 to 60 pixels across the face, which equates to about 120 pixels/ft. If the subject is in the dark, noise in the camera system can make recognition more difficult. In this case, we suggest at least 180 pixels/ft. To learn more, see our article What IP Camera Resolution Do You Need?
We require about 12 pixels across the target character to recognize an alphanumeric. The letters on a license plate are one ft. high, so we need at least 12 pixels/ft. to identify the lettering. Since some applications have unclear alphanumeric characters because of font, upper and lower case, or dirty letters, we suggest using at least 15 pixels across the alphanumeric (or 15 pixels per foot).
AI-enhanced Software provides a module for selecting and attaching each camera to the system. This integration ensures that the important video can be integrated into the AI analytic software.
Artificial intelligence (AI) has become smart enough to alert security before threats become a disaster. The IP camera system must be installed correctly to ensure the proper operation of the analytic software. Once everything is installed, the system detects threats, such as a person entering the facility carrying a gun.
If you would like help selecting the threat detection software for your security system, please contact us at 1-800-431-1658 in the USA or 914-944-3425 everywhere else, or use our contact form.
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