Using AI to Authenticate Goods

The video tutorial discusses an AI-based system for authenticating items by analyzing images to detect minute differences, making it difficult for counterfeiters to replicate. The technology is developed entirely in-house, including data processing and microscopy. The system is scalable across various categories with counterfeits, though it faces limitations with items requiring functional analysis, like watches. The AI excels in form analysis but needs integration with other methods for function evaluation.

What is the primary function of the AI technology discussed in the video?

• To create counterfeit items

• To provide financial advice

• To authenticate items by analyzing images

• To enhance image quality

Where is the technology for AI authentication developed?

• Outsourced to third-party companies

• Developed in-house

• Purchased from a software vendor

• Collaborated with multiple universities

What percentage of items authenticated by the technology are found to be counterfeit?

• 5-7%

• 15-20%

• 10-12%

• 25-30%

In which category is AI technology most effective according to the video?

• Perishable goods

• Digital products

• Form-based items like handbags

• Functional items like watches

What is a key challenge in using AI for functional items?

• AI struggles with form-based items

• AI cannot process images

• AI may not effectively assess functionality

• AI is too expensive for small businesses