Day 32 of 100 of days of AI - Facial Recognition for Security

Day 32 of 100 Days of AI - Facial Recognition for Security

Because of these computer vision technologies that we've looked at this past week, we can start getting into some pretty practical applications. Probably the most common application for computer vision is facial recognition, specifically for security. Obviously, we've been using it on devices for well over a decade to unlock our phones, computers, etc.

It's not the only security application; we can actually use it to identify threats in a crowd. But of course, you have to be careful with the model that you have, and I think we have pretty strong models to date. The model has to be trained on data so that you don't get false positives or what we call hallucinations in LLMs (Large Language Models).

Keywords

• Computer Vision
• Facial Recognition
• Security Applications
• Device Unlocking
• Threat Identification
• Model Training
• False Positives
• Hallucinations
• LLMs (Large Language Models)

FAQ

Q1: What is the most common application for computer vision in security? A1: The most common application for computer vision in security is facial recognition.

Q2: How long have we been using facial recognition on devices? A2: We have been using facial recognition on devices for well over a decade.

Q3: Can facial recognition technology be used for crowd threat identification? A3: Yes, facial recognition technology can be used to identify threats in a crowd.

Q4: What precautions must be taken when using facial recognition models? A4: The model must be carefully trained to avoid false positives or hallucinations.

Q5: What does LLM stand for? A5: LLM stands for Large Language Models.