"The more specific goal, according to chief executive Emrah Gultekin, is an ambitious one: monitoring every acre of forest in California every 10 minutes, alerting authorities almost immediately when a problem arises."
This webinar is an overview of use cases for Visual AI. Presented by Emrah Gultekin, CEO of Chooch, we discuss how Visual AI can rapidly and cost effectively count, label, identify, log and track far more efficiently than humans.
When a person gains access to a secure building, sensitive data, or vast sums of corporate finance via facial authentication, how do you know they are who they say they are – for sure?
AI is nothing new to anyone reading this computer vision blog. Siri, Alexa, and web chatbots have made AI commonplace. Yet, computer vision gives AI a pair of eyes that can be taught with machine learning.
Facial authentication has more uses than just simple biometrics. Businesses and the public sector are seeing its value and potential, which the public supports overall with some limits.
Facial recognition is currently enjoying a very bad name for fear of a surveillance state. Mass facial recognition indeed means governments can potentially know where everyone is, all the time. Facial recognition answers the question “who are you?” by comparing your biometrical facial features with a neural network, potentially created by a machine learning algorithm that have created hashes from every face on Earth. Facebook has most of our faces on file.