For your convenience
For your convenience
using artificial intelligence to verify a buyer’s age
current year - birth year = buyer’s age
We really need to bring LLMs into this?
That isn’t what that article says. It talks about American Rounds and other companies that use vending machine to sell restricted products. A different company Master Ammo found using AI for facial verification to be costly when they looked at it “years ago”. The article doesn’t specify how long ago that was. If it was 12 years ago, which is the age of Master Ammo, I would find that plausible.
The machine for American Rounds was pulled because of “disappointing sales”. Retail space ain’t free, and I bet it has slim margins too.
In any case, the whole endeavor may not be viable in the long run. They either have to get costs low enough to compete with brick and mortar stores and the Big Box stores, or they have to go where none exist while finding enough locations to recoup development costs. The devil’s in the details and unfortunately all the reporting on this has been quick news stories.
I don’t know if they use facial recognition.
I also don’t think they are.
You only need age recognition and maybe facial matching between two images. That’s very different from scanning all people from CCTV footage.
www.ibm.com/topics/computer-vision
Computer vision is a field of artificial intelligence (AI) that uses machine learning and neural networks to teach computers and systems to derive meaningful information from digital images, videos and other visual inputs
aws.amazon.com/what-is/computer-vision/
Computer vision applications use artificial intelligence and machine learning (AI/ML) to process this data accurately for object identification and facial recognition, as well as classification, recommendation, monitoring, and detection.
Computer vision is a field of artificial intelligence (AI) that enables computers and systems to interpret and analyze visual data and derive meaningful information from digital images, videos, and other visual inputs. Some of its typical real-world applications include: object detection, visual content (images, documents, videos) processing, understanding and analysis, product search, image classification and search, and content moderation.
that uses machine learning and neural networks
Great, but AFAIK OpenCV can do this without NNs.
Source?
Other kinds of machine learning such as genetic algorithms are also considered AI.
For somebody who acts like they know CV, you seem fully unaware of it.
Nice moving the goal post. People are obviously talking about DNN here, but now you talk about learning in general.