Key Trends in Technology Used to Increase Constituent Transparency in Law Enforcement
Today we will be discussing Key Trends in Technology Used to Increase Constituent TransparencyIn...
Why Veritone Track?
Accelerate POI and VOI Investigations Across Multiple Video Sources
Create timelines and comprehensive stories with Track around a person or persons of interest or with a vehicle or vehicles of interest faster to understand their activities and associations across separate videos.
Maintain Privacy Laws
and Ensure PII Protections
Track is capable of uniquely identifying persons or vehicles of interest with out using PII, unlike other products that rely on facial recognition. This ensures your team remains in compliance with privacy laws.
Leverage Technology Built
on a Proven Enterprise AI Platform
Track is built on the aiWARE platform, which is used by law enforcement agencies and legal services partners across the country to help streamline investigations and eDiscovery while protecting PII.
Key Use Cases
Track Persons of Interest
Track a person related to criminal activity without using biometric data in public or private settings, such as public transportation stations, stadiums and arenas, public events, hospitals, and more.
Track Vehicles of Interest
Track a vehicle related to criminal activity by make and model through various surveillance camera sources throughout the city, parking structures, and highways, just to name a few.
Find Missing Persons
Quickly find a missing person within the first 48 hours to increase chances of success, tracking movements across locations.
Prevent Human Trafficking
Follow human trafficking victims across different public or private settings to rescue them and apprehend the perpetrators.
Key Capabilities
Capabilities
![]( "define human")
DefineDefine a human as an object or a vehicle make and model within a video file to create a profile the AI can use to surface similar-looking individuals across videos.
![]( "automate")
AutomateProcess multiple videos from different sources at scale and surface moments where the person of interest you are seeking might appear.
![]( "track")
TrackTrack a person of interest and/or vehicle of interest across a collection of videos from different sources, including bodyworn cameras, security footage, social media, street surveillance footage, parking structure cameras, and more.
![]( "Build")
BuildCraft accurate timelines and stories faster regarding a person of interest’s activities and associations.
![]( "help people")
FindLeverage the technology to accelerate the apprehension of a suspect or return a missing person or trafficked person to safety.
![]( "Private")
ProtectUse AI ethically by remaining in compliance with privacy laws and protecting PII throughout the whole process.
Key Features
Human-like Object (HLO) & Vehicle-like Object (VLO) Detection
Identify and define human-like objects and/or vehicle-like objects within a frame to build the necessary criteria for AI to search against across a collection of video files.
Confidence-based Similarity Detection
Use AI models that aren’t biometric or facial recognition based to ensure proper oversight and protections when using AI technology in investigations.
Multi-source Video Analysis
Accelerate the analysis of video collections to extract valuable insights in building a case or when actively searching for suspects or missing persons.
Privacy & PII Protection
Maintain compliance with privacy laws and ensure that personally identifiable information is protected throughout the entire process.
Veritone Track intellectual property listings: US Patent No. 10025854 GB Patent No. 2493580 US Patent No. 10282616 US Patent No. 9245247 GB Patent No. 2506172
Law Enforcement Transparency & Trust Report
What happens when you turn down the volume and really listen to Americans’ trust in, beliefs about, attitudes toward and expectations of police? We asked 3,000 Americans a wide-ranging set of questions about policing locally and nationally and found the results encouraging. The public is demanding more transparency than ever — and our perspective allows us to see that technology is finally mature enough to make this transparency not only possible but scalable.
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