Revisor is a software package that utilizes neural network technology and computer vision to monitor electoral procedures and accurately count the number of voters. It is a trainable system, meaning that it can be customized to work with different types of voting procedures, elections, and electoral systems in any country. Revisor is capable of detecting multiple types of violations and can speed up manual recounts. It is a fast, reliable, and cost-effective tool that can be used during election observation missions. The software can be applied to video recordings, producing results immediately after an election and/or months and years later. Revisor has been successful in detecting discrepancies between the official and actual turnout at polling stations, reporting them to users who can take action to resolve crimes that lead to the observed anomaly. Overall, Revisor is an effective AI tool that leverages neural networks for election monitoring and compliance with electoral procedures.
TLDR: AI for Detecting electoral procedure violations. Copy and paste these prompts into Revisor.