Revolutionizing How Law Enforcement Agencies Solve Crimes
Any investigator will tell you that traditional methods of analyzing media content—manually reviewing video footage and audio files—are labor-intensive and time-consuming. As a result, overloaded backlogs of content continue to pile up, limiting the processing of evidence and delaying investigations.
By Daniel Jackson, SNIPR.ai
Any investigator will tell you that traditional methods of analyzing media content—manually reviewing video footage and audio files—are labor-intensive and time-consuming. As a result, overloaded backlogs of content continue to pile up, limiting the processing of evidence and delaying investigations.
With AI-driven video and audio analysis, SNIPR brings agencies a welcome change by automating and accelerating the task of reviewing video footage and audio files—effectively doing hours of work in just minutes. Content can originate from almost anywhere, including OSINT scrapers, smart phone cameras, doorbell cameras, social media accounts, body cameras, in-car video systems, as well as audio from tip submissions and interviews. AI uses sophisticated algorithms to analyze vast amounts of content, extracting valuable insights and identifying relevant patterns and evidence.
Check out four ways that SNIPR is bringing the game-changing tool of video and audio analysis to law enforcement agencies.
1. Review Video and Audio Content Fast
AI algorithms can zip through hours of footage in a fraction of the time it would take a human and with better accuracy. Such rapid processing lets law enforcement agencies quickly identify potential evidence and spot relevant details that can aid in solving crimes. It also lets personnel resources—already stretched thin—cover more ground and be more productive.
2. Find Critical Information Faster.
SNIPR reviews and pinpoints the locations in audio and video content that matches your specified keywords or phrases, automating the process of identifying and tagging content. No matter where a match is found—in an image, in audio, or in written text—SNIPR lets investigators go directly to the information they need to review simply by selecting an icon. There’s no more fast forwarding and backing up through hours of content to find key evidence.
3. Send Alerts in Real-Time.
With its AI-driven video and audio analysis, SNIPR lets analysts provide real-time alerts for specific events, content, or behaviors. Whether it’s content from a body-worn camera or from a web crawler monitoring social media platforms, SNIPR lets reviewers send immediate notifications to enable a proactive response with appropriate resources.
4. Ensure Accurate Information.
Human perception is fallible. Hours of reviewing videos and audio files leads to fatigue and can cause humans to miss important information and critical evidence. On the other hand, AI algorithms consistently identify objects, key words, and spoken words with an extremely high level of accuracy, ensuring that key evidence is not overlooked.
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Daniel Jackson, a former law enforcement officer who retired from White Plains Police Department as First Deputy Commissioner of Public Safety, currently serves as the Director of Business Development for SNIPR.ai, a DataShapes company. Before joining SNIPR.ai, Daniel served as Senior Vice President for Allied Universal security systems (AUS) in charge of a Fortune 100 commercial property account for over 10 years. Daniel can be reached at daniel.jackson@sniprai.com.