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Building an IoT System to Detect and Prevent Digital Art Theft Using Arduino and A

Posted: Thu Dec 26, 2024 10:15 am
by Kalpesh Borle
I’m working on an innovative IoT project where I aim to combine Arduino with AI to create a system that detects and prevents digital art theft in real-time. The idea is to use sensors, image recognition, and blockchain technology to protect original digital artworks from being copied or stolen across the internet.

Key components:

Arduino with Wi-Fi or Bluetooth modules
AI-powered image recognition (possibly using TensorFlow Lite)
Blockchain for immutable ownership records
Motion sensors or cameras for real-time detection
The system would alert the owner if their artwork is detected on unauthorized platforms, even preventing reproduction or distribution if integrated with smart contracts. This project could revolutionize how digital art is protected online. Has anyone worked on integrating IoT with digital rights management, or do you think such a system is feasible?

Re: Building an IoT System to Detect and Prevent Digital Art Theft Using Arduino and A

Posted: Tue Jul 29, 2025 2:32 pm
by rajendrapatel
That’s an impressive and forward-thinking concept—leveraging IoT, AI, and blockchain to protect digital art could reshape how creators secure their intellectual property online. At Rejig Digital, we specialize in IoT solutions that combine AI-powered analytics, real-time monitoring, and secure data handling across sectors like manufacturing, automotive, and smart infrastructure. Your use of Arduino, TensorFlow Lite, and blockchain reflects a convergence we see growing in smart asset protection. While we currently focus on industrial IoT, the potential to extend such frameworks into digital rights management is promising. We’d love to exchange ideas or collaborate to push boundaries in this space.

Explore our innovations: https://www.rejigdigital.com