I thought that it was weird too but they are probably using some kind of machine learning to look at the buying to try and classify age and if the image on the ID matches.
But Alabama, specifically, was very against the use of ai and facial recognition and passed a bill to limit it’s use. Now they are willing to use it to have a record of exactly when and where they buy ammunition and exactly which caliber?
Cognitive disconnect when it’s about convenience, huh
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.
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
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.
current year - birth year = buyer's ageWe really need to bring LLMs into this? Lmaoà!
I thought that it was weird too but they are probably using some kind of machine learning to look at the buying to try and classify age and if the image on the ID matches.
But Alabama, specifically, was very against the use of ai and facial recognition and passed a bill to limit it’s use. Now they are willing to use it to have a record of exactly when and where they buy ammunition and exactly which caliber? Cognitive disconnect when it’s about convenience, huh
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.
You have to do facial recognition with a cheap webcam. Apparently using AI is still so cost-prohibitive, they already had to pull one of these machines. https://www.dallasnews.com/news/texas/2024/07/10/chips-chocolate-and-ammunition-at-a-vending-machine-near-some/
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.
Facial recognition shouldn’t be costly, you can do it on Raspberry Pi with a Coral.
I like citations and context, thank you.
So you could bypass this thing by printing out an image of anybody off the internet and just hold it up to the camera?
It works on certain social media sites…ahem
How the hell should I know
You need AI to convert the image of the ID into text. Which is an AI technology that’s existed for over ten years and used in many applications.
OpenCV, no AI needed
https://www.ibm.com/topics/computer-vision
https://aws.amazon.com/what-is/computer-vision/
https://cloud.google.com/vision
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.
Yeah, you’re making stuff up
Thank you!