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Revisor is a software package based on neural networks that utilizes computer vision technology to monitor election procedures and calculate the actual number of voters. This software can be deployed in election observation tasks at a fraction of the cost of traditional methods. The Revisor system can accurately track physical objects with high precision (up to 98% accuracy), detect voting events, and distinguish them from other activities at polling stations. It is also a trainable neural network, which means that customers can teach it to handle different types of voting procedures, elections, and electoral systems in any country. The system can detect various types of irregularities and expedite manual recounts. The software can be applied to video-recorded operations, generating results immediately after an election or even months or years later. Revisor is a fast, reliable, and cost-effective system designed to detect ballot boxes in video recordings, calculate the number of voters, identify fraudulent polling stations, draft formal complaints, and expedite manual recounts. The results of Revisor have been proven in successful cases, as it detects discrepancies between official and actual voter turnout and reports them to users, who can address any criminal activities leading to observed anomalies. Overall, Revisor is an effective AI tool for election monitoring and compliance with electoral procedures using neural networks.

Revisor is a software package based on neural networks that utilizes computer vision technology to monitor election procedures and calculate the actual number of voters. It can track physical objects, detect voting events, and differentiate them from other activities at polling stations. Revisor is a trainable neural network that can handle different types of voting procedures, elections, and electoral systems in any country. The system can detect various types of irregularities and expedite manual recounts. The software can be applied to video-recorded operations, generating results immediately after an election or even months or years later. Revisor can detect discrepancies between official and actual voter turnout rates and report them to users, who can address any criminal behavior that may have caused the observed anomalies.