Exploring Artificial Intelligence Applications in Law Enforcement
Artificial Intelligence (AI) is one of the fastest growing, most transformative technologies in the current digital landscape. AI can be broadly defined as the use of “machine-learning” programming that mimics human intelligence. Machine vision is the camera subset of machine learning that harnesses a series of algorithms to cross reference stored objects from different angles, postures and movements.1 AI is a force multiplier that allows the surveillance software to alert and notify the appropriate personnel. Here’s how AI is used in Law Enforcement.
How is AI used in Law Enforcement
The private sector has harnessed AI to improve existing products and develop new services for their business. AI is still an emerging technology in the public sector, specifically in law enforcement, but the software can help law enforcement agencies in making decisions and performing tasks. Specifically, new AI integrations for law enforcement hardware like cameras, sensors and microphones will greatly improve automatic activation triggers in real-time.
Surveillance Camera AI
AI-enabled cameras serve a multitude of purposes from simple rule-based surveillance to pattern identification. Machine vision, a subset of machine learning, utilizes stored data and algorithms to cross-reference objects, animals and humans. As new data is captured, the AI-powered surveillance cameras learn and identify different angles, postures, positions and movements to improve detection accuracy.
AI and Law Enforcement Working Together
Using stored and learned data, activation triggers create AI-based alerts from human motion detection, object detection and facial recognition. Programmers can set up specific rules to identify objects like weapons, vehicles, faces, license plates as well as human attributes like age group, gender, or clothing color. In many cases, AI can outperform human surveillance in its ability to spot threats in the distance or in harsh viewing conditions like rain, snow, low lighting or glare. AI can also reduce false alarms previously triggered by motion detection or human surveillance, examples include: wind blown trees, shadows, or animals.
It is important to make the distinction that for police using AI, the analytics built into the software is designed to be a second set of eyes and a secondary source of evidence. Operators must be trained use AI to know where to look during real-time events and leverage the tool for post-event forensic searches. 2
How AI is Saving Time For Law Enforcement Agencies
Randomized Audit Requirements
State-mandated randomized audits are labor intensive and costly. AI powered identification software can be a force-multiplier, saving supervisors time by scanning through BWC and dash camera footage. Maximize the efficiency of your agency audits with forensic video and audio analysis.
Full-Text Search
With automated transcription and AI assisted evaluations, agencies save time trying to find specific terminology. For example, AI software can notate how often an officer introduces themselves, or how often they cite the reason for making a traffic stop. With full-text search and AI scanning, agencies can quickly identify at-risk incidents as well as trends within the department.
Benefits of Police Using AI
In short, AI in law enforcement is a a powerful tool that augments an agency's existing technology. Video and audio forensic software maximizes administrative efficiency and identifies trends and agency improvements with superior speed and accuracy. With artificial intelligence, police cameras can detect threats or identify objects before incidents occur. AI law enforcement technology improves data quality and availability, reliability of camera and audio recordings, and reduces possible errors or data losses. As a dynamic technology, AI-powered automatic triggers increase public safety and develop new detections for audio and visual detection.
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