How AI Can Protect Physical Objects in the Real World
🆕 In this episode: Jakub Krcmar, How AI Can Protect Physical Objects in the Real World.
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Episode Show Notes:
Digital trust with AI matters in the era of fraud, manipulation and counterfeit cases on physical objects. Developing security standards for fingerprinting is essential given that technologies such as block chain cannot secure databases.
Fake components in products are a growing threat and verifying the authenticity is critical to achieve high security standards.
For instance, motherboards are often tampered with and verifying their authenticity matters to avoid the cost implications. Semiconductors also need authenticity as duplication cases continue to rise.
We live in the era of deepfakes in audio and video and recognizing between fakes and original becomes hard. This is where computer vision and trained neural networks come in.