Hi @GCdePaula!
We acknowledge the challenges presented in the proposal, but do not consider the issues to be insurmountable. Here is our explanation for the issues you have brought up.
Specific issues
- As part of our proof of concept, we propose the recognition of number plates of vehicles that are known to be in violation of the law. We are aware of the complications that could be involved in carrying out the recognition of infringements and for that reason this is proposed as a possible future work.
- Our proposal currently focuses on implementing plate number recognition in user-uploaded photos as a proof of concept. The use of doctored images falls outside the scope of the POC. In the future, other mechanisms could be implemented to prevent tampering, not necessarily based on Web3. Therefore, in this instance we only intend to use on-chain verification to confirm whether an image contains a patent or not, even if it has been manipulated.
- As for Why Blockchain, firstly, this is a case study to see the viability of the technology in the short and long term. Secondly, transparency. As we answered in a previous comment, Web2 solutions can be alterable by the user or the issuer. With Web3, there remains a public proof of each infraction, which anyone can read and check.
Issues general with AI and image recognition
- We understand that AI can be tricked and false positives can be generated. For the moment we are proposing a proof of concept to assess feasibility. In the long term, the model needs to be much better trained and more controlled. The proposal is that the system will help people, but it will not work in an unsupervised way until we are absolutely sure that it works.
- Our intention is to store the hash of the image, not the image itself
Our main goal is to provide the whole community with open source code that demonstrates how to use these libraries to simplify the use of these technologies for this case or any similar ones.