Tag Archive for: facial recognition

The $150k Problem with Courtesy

Below is an excerpt from the White Paper, “The AI (R)Evolution of Enterprise Security” What may seem like a small problem, tailgating or piggybacking through entryways can lead to an array of larger, and much more costly, safety concerns. In a survey done by IPVM, 61% of respondents said they either do nothing about tailgating or […]

Best in AI — 9.7.2018

The Best Things we read in AI this Week Vintra’s weekly round-up of AI-related articles, blogs, videos, and papers we liked. 

Best in AI — 8.24.2018

The Best Things we read in AI this Week Vintra’s weekly round-up of AI-related articles, blogs, videos, and papers we liked. 

Enterprise Security White Paper

Best in AI — 8.10.2018

The Best Things we read in AI this Week Vintra’s weekly round-up of AI-related articles, blogs, videos, and papers we liked. 

3 Ways Every Investigator Should Be Using AI Right Now

3 Ways Every Investigator Should Be Using AI Right Now Collect video faster from the public Review & search video Create & share reports Artificial Intelligence (AI) is used in almost every part of our lives. Instead of hailing cabs on the street corner, we now use Uber or Lyft. Instead of looking at the […]

Case Study: The Bank Robbery

How FulcrumAI was used: Quickly reviewed and indexed 50+ hours of video To identify the suspect’s vehicle in grainy footage Performed a subject search using face recognition to identify suspect

Artificial Intelligence 7.27.2018

The Best Things we read in AI this Week “Artificial Intelligence” is Vintra’s weekly round-up of AI-related articles, blogs, videos, and papers we liked. 

Artificial Intelligence 7.20.2018

The Best Things we read in AI this Week “Artificial Intelligence” is Vintra’s weekly round-up of AI-related articles, blogs, videos, and papers we liked. 

Artificial Intelligence 7.13.2018

The Best Things we read in AI this Week “Artificial Intelligence” is Vintra’s weekly round-up of AI-related articles, blogs, videos, and papers we liked.